Portfolio

Introduction

Hi, I’m Puneet, and I am passionate about data science and technology. Over the years, I have honed my skills in a variety of areas, including programming, data analysis, machine learning, and web development. I have a strong foundation in both theoretical concepts and practical applications, which allows me to solve real-world problems with creative solutions.

I believe in lifelong learning and am always seeking to improve my skill set by keeping up with the latest trends in technology. Whether it’s programming in Python, building web applications, or working with data, I am excited to take on new challenges and grow as a professional. With a keen eye for detail and a commitment to excellence, I aim to make meaningful contributions to every project I work on.

In my free time, I enjoy exploring new tech, contributing to open-source projects, and engaging in problem-solving challenges. I am also an advocate for collaboration and love working in teams to achieve shared goals. My journey in the tech industry is just beginning, and I am eager to see where my skills and passions will take me.

Academic Qualification

BS in Data Science Applications, 2025, IIT Madras - 9 CGPA
Class XII, Ahlcon International School, Delhi, 2019 – 98.67%
Class X, Ahlcon International School, Delhi, 2017 – 10 CGPA

Skills

Tools & Software: Microsoft 365, Jira, AWS, GCP
Programming Languages: Python, Java, C#, JavaScript, DSA, C, Kotlin, Typescript, React-Native, Node JS, C++
Libraries & Frameworks: Numpy, Pandas, Scikit Learn, Seaborn, Matplotlib, Django, Flask, .Net, PyTorch
Databases: SQL, Oracle, PostgreSQL, Firebase
Web and Mobile Development: HTML, MJML, CSS, JavaScript, Bootstrap, PHP, Android Studio, Swift
Other: AWK, Bash, Sed, Regex, PyTest

Work Experience

Data Scientist, Turing, November 2025 - Present ¹

Technical Consultant, LegalBook, September 2025 - Present ²

Python Developer, LegalBook, July 2023 - September 2025 ³

Python API Development: Developed and maintained Python-based APIs to support the creation of a contract management tool, ensuring smooth integration with other services and seamless user experiences across the platform.
Research and Development: Conducted R&D to explore and implement innovative solutions for improving contract management workflows, leveraging emerging technologies to optimize business operations and enhance product capabilities.
Frontend & Backend Integration: Worked on the frontend development of React.js applications, while also managing the Python backend with Flask and Django, ensuring robust integration between the front and back-end systems for optimal functionality.
AI & Syncfusion Integration: Integrated AI-powered language models (LLM) and Syncfusion capabilities into existing products to enhance automation, improve document processing, and streamline contract lifecycle management.

Product Engineer, Metagauss, July 2023 – July 2024 ⁴

PHP Plugin Development & Enhancement: Continued developing and refining PHP plugins, integrating advanced features, and ensuring compatibility with the latest platform updates to deliver robust and scalable solutions for users.
AI Feature Integration: Led the integration of AI-driven features into existing plugins, including working on large language models (LLM) and chatbots, to enhance functionality and improve user experiences with smarter, more interactive tools.
Team Leadership & Strategy: Worked closely with the senior admin team to establish a dedicated Data Science (DS) team, leading cross-functional efforts to execute strategic initiatives and deliver high-quality products on time, while fostering collaboration and innovation within the team.

Associate Product Strategy, Metagauss, Nov 2021 – Feb 2023 ⁵

PHP Plugin Development: Developed and implemented PHP plugins using WordPress, Visual Studio Code, and GitHub, contributing to the enhancement of the company’s product offerings by building robust, scalable solutions.
API Development with Python: Designed and created Python-based APIs using Flask, collaborating with the team to integrate backend services and ensure seamless interaction between applications and databases.
Comprehensive Documentation: Led the documentation efforts for newly developed plugins and APIs, creating detailed technical guides, code comments, and user-facing instructions to ensure clarity and ease of use for developers and end-users.
Mobile App Development: Collaborated with the mobile development team to create a breath yoga app, designed for users to practice pranayamic exercises, integrating guided breathing routines and enhancing user engagement with health and wellness features.

Jr. Technical Content Writer, Metaguass, July 2021 – March 2022 ⁶

Plugin Documentation: Created comprehensive and user-friendly documentation for the company’s plugins, detailing installation, configuration, and usage instructions to ensure ease of understanding for both technical and non-technical users.
PHP Knowledge Integration: Gained a deep understanding of PHP and its functionalities, applying this knowledge to document the technical aspects of the company’s plugins, including code structure, key features, and integration guidelines.
Cross-functional Collaboration: Worked closely with development and engineering teams to gather technical details and ensure accuracy in all documentation, contributing to the creation of precise and well-structured content.
Content Optimization: Ensured clarity, consistency, and accessibility in all technical documents, including troubleshooting guides and FAQs, to improve user experience and facilitate smoother onboarding for new users.

Teaching Experience

Teaching Assistant & Content Creator (IIT Madras), July 2025 – Present ⁷ - Link

Object-Oriented Programming (MA5741) – MTech Industrial Mathematics & Scientific Computing: Developed the entire 14-week course syllabus, including detailed lecture slides, lab exercises, reading materials, quizzes, and assignments. Collaborated with the senior instructor to deliver engaging and interactive classes focused on OOP concepts and applications.
Created comprehensive hands-on lab content and assessments designed to reinforce core OOP principles, enabling students to develop practical programming skills through real-world examples and projects.
Provided continuous support during classes, clarifying concepts and assisting students in mastering complex topics, while contributing to course improvement based on student feedback.

Lab Assistant & Content Creator (IIT Madras), July 2025 – Present ⁸ - Link

Python Programming Lab (MA5260) – MSc Mathematics: Designed and developed the entire lab curriculum, including practical assignments and automated grading workflows using nbgrader.
Managed lab sessions as the lab assistant, graded submissions, provided detailed feedback, and helped students troubleshoot programming issues to improve their coding proficiency and understanding of Python applications in mathematics.

Teaching Assistant & Mentor (IIT Madras BS), May 2024 – Present ⁹

Introduction to DL Gen AI Teaching Assistant: (October 2025 - Present)
Linux & System Commands Teaching Assistant & Mentor: (May 2024 - September 2025) Assist in delivering lessons on Linux system commands, focusing on key tools like sed, awk, and Bash scripting, helping students navigate the command line and automate tasks in Unix-like environments.
BDM Project Mentor: (September 2024 - Present) Guide students in completing various milestones of their Business Data Management (BDM) projects, providing mentorship and support on project management, problem-solving, and technical implementation.
Python Programming Teaching Assistant & Mentor: (May 2024 - January 2025) Lead 40 classes per term, teaching a cohort of 15 students foundational Python concepts, from basic syntax to introductory object-oriented programming, ensuring hands-on learning through exercises and projects.

Teaching Assistant (IIT Madras BS), Jan 2023 – May 2023 ¹⁰

BDM Course Teaching Assistant: Conducted weekly classes, assisted students with course material, and provided guidance on projects related to Business Data Management (BDM), ensuring students gained practical insights and met project milestones.
TDS (Tools in Data Science) Teaching Assistant: Supported the teaching of data science tools, facilitating classes on key concepts and tools used in the field, while helping students understand the practical applications of data analysis, visualization, and machine learning techniques.

Lead Python Mentor (IIT Madras BS), Aug 2022 – Sep 2022 ¹¹

Lead Python Mentor for Pilot Project: Led the pilot project for IIT Madras’ BS program, teaching a cohort of 30 students core Python concepts, including data structures, algorithms, and object-oriented programming, ensuring high-quality learning outcomes.
Mentorship & Instruction: Provided hands-on mentorship and guidance to students, fostering a strong understanding of Python and programming fundamentals, while conducting interactive sessions, coding challenges, and practical exercises to reinforce learning.
Team Leadership & Oversight: Managed a team of 3 mentors, overseeing their progress, providing feedback, and ensuring consistency in teaching methods and content delivery, while also addressing student queries and ensuring smooth coordination across the team.

Internships

Data Science Intern, IISc Bangalore, Sep 2023 – Nov 2023 ¹²

Data Extraction & EDA: Extracted data from various web sources using libraries like BeautifulSoup (BS), performed exploratory data analysis (EDA) to uncover trends, patterns, and insights, and prepared the data for further analysis.
Algorithm Development & Testing: Developed and implemented simple algorithms to test and analyze a dataset of 12,000 data points, evaluating their performance and ensuring they met the project’s objectives for data processing and predictive modeling.

Summer Intern, IIIT Naya Raipur, May 2023 – July 2023 ¹³

Attendance System Automation: Developed and automated an attendance management system for the institute, streamlining the process of tracking and recording attendance using technology to reduce manual effort and improve accuracy.
Mobile App Development: Contributed to the development of a mobile app to support the attendance system, ensuring seamless user experience and efficient real-time attendance tracking for students and faculty.

Jr. Python/Django Associate Intern, Zummit Labs, Oct 2022 – Feb 2023 ¹⁴

Backend Development with Django & Flask: Gained hands-on experience in backend development, working with Django and Flask to build web applications, enhance server-side functionality, and optimize performance across multiple projects.
Project Development & Learning: Contributed to the development of 3 key projects, applying learned concepts in Python, Django, and Flask to build scalable and maintainable systems while continuously improving coding skills through practical application.

SDE Intern, Alcanttor Info Soln Pvt Ltd, Oct 2022 – Jan 2023 ¹⁵

Python Development: Worked on Python-based solutions, exploring various libraries and frameworks to enhance the functionality of internal products, focusing on improving performance and adding new features.
PHP Plugin Development: Developed PHP plugins for WordPress, contributing to the company’s internal product offerings by building and optimizing features to improve user experience and extend functionality.
Documentation & Knowledge Sharing: Documented the development process, including code, implementation steps, and usage guidelines, ensuring clear and comprehensive resources for future reference and team collaboration.

AI Intern, Personifwy, March 2022 – May 2022 ¹⁶

AI & ML Fundamentals: Learned the basics of artificial intelligence (AI) and machine learning (ML), building simple end-to-end projects, including developing two classification and regression models using Python to solve real-world problems.
Search Algorithms & Project Development: Gained hands-on experience with search algorithms and their implementation in Python, building two mini-projects to apply these techniques, and deepening understanding of how to integrate algorithms into practical AI solutions.

Projects

Personal

Web Apps, AI Agents, Core DS Projects

Causal Longevity Insights in Breast Cancer Patients Dashboard Link
- Developed an interactive dashboard to visualize breast cancer data, aiding healthcare organizations in tracking patient metrics and treatment outcomes.
- Integrated data analysis and visualization tools to provide actionable insights for researchers and clinicians.
- Hosted the project on Hugging Face Spaces with a public GitHub repo for transparency and easy access to the underlying codebase.
- Project was guided by Dr. Neelesh S. Upadhye (IIT Madras) and developed in collaboration with CanBrs Therapeutics, supported by real-world testing data and feedback.
Predictive Analytics Intelligent Agent Tool Link
- Built a comprehensive intelligent agent capable of performing various predictive analytics tasks including sales, campaign, inventory, supply chain, and machine failure predictions.
- Designed the tool as a core data science problem-solving suite, integrating preprocessing, model training, and result visualization within a single interface.
- Deployed the application on Hugging Face Spaces to enable real-time experimentation and insights generation for business-critical forecasting scenarios.
Log Data Processor Agent Link
- Developed a versatile agent that processes unstructured log data from sources like Android, web servers, and Arduino, transforming it into structured formats automatically.
- Implemented intelligent field extraction to generate both standard and custom fields, enabling efficient log analysis and monitoring.
- Integrated automated database handling for seamless storage, management, and retrieval of structured log entries without manual intervention.
Indonesian Chat and Voice Agent Link
- Built a multilingual chatbot prototype that allows users to upload English documents and interact entirely in Indonesian, receiving context-aware responses in the same language.
- Implemented translation and retrieval-augmented generation (RAG) pipeline to ensure accurate cross-lingual understanding and response generation.
- Deployed the application on Hugging Face Spaces for seamless public access and real-time testing.
ClauseMiner – Clause Extractor Project Link
- Developed a legal document analysis tool using Flask and Groq API to extract clauses and identify document types from PDFs such as contracts and agreements.
- Implemented PDF parsing with PyPDF2, document type detection using FAISS-based similarity search, and clause extraction via prompt engineering, generating structured DOCX outputs.
- Built an interactive web interface for file upload and result download, allowing users to easily extract and review key legal information.
- Project was guided by Dr. Neelesh S. Upadhye (IIT Madras) and developed in collaboration with Legalbook Company, supported by real-world testing data and feedback.
SEBI Web Scraper Agent Link
- Built an automated web scraping agent using Selenium, BeautifulSoup, and ChromeDriver to extract over 1700+ insider trading orders from the official SEBI website.
- Developed a Python notebook to streamline the scraping process, enabling batch extraction of legal documents with minimal manual intervention.
- Structured the extracted data for further analysis or archival, aiding financial research and regulatory review processes.
Discourse Viz App Link
- Developed a Flask-based web application that uses the IITM BS Discourse API to visualize user engagement metrics and assist instructors in selecting or reselecting TAs based on activity data.
- Processed and transformed raw user data using pivot tables, applied weighted scoring, z-score standardization, and log-normalization techniques to compute two types of engagement scores.
- Built interactive visualizations including stacked bar charts to showcase top contributors per course and overall, enhancing decision-making through clear, data-driven insights.
Support Chatbot for IITM BS Link
- Built a RAG-based support chatbot using Google Gemini and ChromaDB with Flask to handle document-based query answering for the IITM BS program.
- Implemented document ingestion, embedding generation, and semantic search to provide accurate and context-aware responses.
- Designed a simple web interface and hosted the application on GitHub to offer real-time academic support to IITM BS students.
BDM Project Chatbot Link
- Developed an AI-powered BDM Project Chatbot using various LLM models and PDF extractors to read, process documents, and create embeddings for improved responses.
- Built a fully functional user interface with Streamlit, enabling easy access for BS students to enhance their report writing skills.
- Hosted the chatbot on GitHub, helping students better understand the nuances of BDM project writing and providing real-time guidance throughout the process.
AI-Search Methods & Problem Solving Guide Link
- Teamed up with a friend to study various AI algorithms, including uninformed, informed, and adversarial search methods, exploring their applications and key concepts.
- Researched relevant papers for each algorithm and created an end-to-end study guide for the AI-SMPS subject, making complex topics accessible and engaging.
- Incorporated examples, diagrams, pseudocode, and Python implementations using simple data structures to help students better understand and apply AI search techniques.
RAG Based Similarity Model Link
- Explored various LLM models to build a RAG-based similarity model, focused on document comparison and similarity assessment.
- Developed a database to store testing documents and implemented functionality to upload and compare user-uploaded documents with predefined data.
- Built a user-friendly interface using Streamlit, hosted on GitHub, allowing users to upload documents and check their similarity against the existing database.
OCR & Normal PDF to Doc Convertor
- Developed a solution using Google Colab and Adobe API to convert both normal and OCR PDFs into searchable PDFs.
- Streamlined the process to extract text from scanned PDFs and convert them into editable DOCX files.
- Created a user-friendly system for seamless conversion, improving accessibility and editing of PDF documents for users.
ML Sentiment Analysis
- Conducted exploratory data analysis (EDA) and feature analysis on a dataset of around 20k data points to build a robust sentiment analysis model.
- Developed a streamlined process allowing users to input any sentence and receive real-time sentiment analysis, offering insights into the emotional tone of the text.

Mobile App Development Projects

CureCue Link
- Designed and developed an AI-powered mobile healthcare suite featuring tools like expiry date detection using Vision AI, prescription reading via OCR, and medicine-related queries powered by Gemini AI.
- Built smart medication adherence tools including multilingual reminders and scheduling support to improve patient compliance and care.
- Developed the entire application with a mobile-first approach using Flask for backend and integrated QR-based app distribution for easy installation.
- Delivered an intuitive, multilingual UI to ensure accessibility across diverse user groups, with support for real-time scanning, tracking, and management of healthcare data.
Breathe Yoga Link
- Learned Figma design processes and created wireframes and UI designs for the Breath Yoga mobile app to ensure a seamless user experience.
- Designed animations using Adobe Illustrator to enhance the visual appeal and interactivity of the app.
- Developed the app using Kotlin, allowing users to practice breathing exercises with guided instructions, promoting mindfulness and well-being.

Game Development Projects

Echoes of the Lost Link
- Developed a 2D retro-style puzzle game using the Godot engine with TypeScript, blending classic gameplay mechanics with modern design.
- Implemented engaging puzzles and interactive elements that challenge players’ problem-solving skills in an immersive environment.
- Published on itch.io, providing a smooth user experience and accessibility for retro gaming enthusiasts.

Course-Work Projects

BS in Data Science and Applications (IIT Madras)

Business Data Management - Collected and analyzed data from a retailer to improve business operations. Using Excel, R, and Python, I conducted exploratory data analysis (EDA), identified key trends, and generated insightful reports. My findings helped the retailer optimize inventory and marketing strategies, ultimately boosting shop revenue. This project was recognized as the best of the term for its impact and analytical depth.
Modern Application Development I - Developed a ticket booking system with a user-friendly interface using HTML, CSS, and Bootstrap. The backend was built with Flask, while PostgreSQL was used for database management. The project demonstrated my ability to integrate front-end and back-end technologies effectively.
Modern Application Development II - Built an advanced UI of ticket booking system using Vue.js and React.js, focusing on responsiveness and performance. The backend was developed with Flask, integrating PostgreSQL for database management, Redis for caching, and Celery for task scheduling. This project showcased my skills in modern full-stack development.
Machine Learning Practice - Solved a classification problem using ensemble learning techniques, feature selection, and feature extraction. I conducted thorough exploratory data analysis (EDA) to refine the model. My solution earned a top 10 rank out of 600 students, demonstrating strong ML skills and problem-solving ability.
Software Engineering - Collaborated with a team to build an AI-integrated edtech platform aimed at enhancing student learning. We developed LLM-based flows to assist students in debugging code and running programming assignments more efficiently, making the learning process smoother and more interactive.
Strategies for Professional Growth - Worked in a team, conducting interviews and gathering insights from professionals. I wrote detailed reports based on findings and focused on learning essential workplace etiquette. This experience helped me develop communication and interpersonal skills vital for success in a professional environment.
Market Research - Collaborated with a team to collect employee satisfaction data from 200 respondents. I learned to design effective survey questions and performed data analysis using Python and R to create visualizations. Finally, I compiled the findings into a comprehensive report and presentation for stakeholders.
Design Thinking - Worked with a team to apply the Karmic design thinking methodology through all four stages. I developed a fully functional mobile application that provides trending news and research papers in AI and ML, focusing on user needs and ensuring a seamless experience across various fields.

Publications

Research Articles

Understanding polycystic ovary syndrome in light of associated key genes, Egyptian Journal of Medical Human Genetics, June 2023. (Authors - Tanisha Bhimwal, Puneet, Prof. Anjali Priyadarshani) Link
Insights into microplastics and their effects on Aquatic Organisms, Journal of the Oriental Institute, March 2023. (Authors - Puneet, Shreya Yadav, Prof. Anjali Priyadarshani) Link
Fatty Acid Profiling and Composition in Biodiesel and Biofuels, Volume 1 Issue 4, JLRJS, November 2022. (Authors - Puneet, Prof. Anjali Priyadarshani) Link
A Comprehensive Review on Potential and Prospects of Traditional Medicinal Plants for Management of Coronavirus Disease (COVID-19), Vantage Journal of Thematic Analysis, October 2022. (Authors - Riya Dahiya, Puneet, Prof. Sunil Dhiman, Prof. Anjali Priyadarshani) Link

Technical Report

CureCue: A Smart Adherence Assistant and Reminder System, CureCue Software/Technical and Research Documentation, May 2025 (Authors - Puneet, Pranshu Jaiswal, Saransh Saini, Prof. Neelesh S. Upadhye) Link

Articles

How AI is Transforming the Entertainment World?, Tech Blog, June 2025. Link
Search Algorithms: Introductory Guide, Tech Blog, November 2024. Link

Datasets

Progressively Refined Prompt Dataset for Legal Clause Extraction, Zenodo, May 2025 (Authors - Puneet, Prof. Neelesh S. Upadhye, Radhika Kabade, Sayali Makashir) Link
From Shelf to Sale: Grocery Store Operations Data, Zenodo, April 2025. (Author - Puneet) Link

Conferences (Posters/Presentations)

Shodhranga 2025 (Swanirvahan 5.0): IoCT Bhubaneswar, January 2025

Topic Presented: Implementation of Artificial Intelligence Methodologies Using Search Strategies on Minesweeper Game. (Author - Puneet) Link

Equinox-2022: International Conference, December 2023

Topic Presented: Covid – 19 and Scope of Medicinal Plants against SARS-CoV2 Virus. (Authors - Puneet, Prof. Anjali Priyadarshani) Link
Won the “Best Presenter Award”

Awards

2nd Runner Up, BharatGen AI Summit Hackathon, June 2025
Gold Medal, International Creative Writing Contest, Monomousumi, November 2024
Best Business Data Management Project, IIT Madras, 2023
Top 2 in Round Robin Hackathon, DS Hackathon, IIT Madras, 2022
Excellence in Academic Performance, Ahlcon International School, 2019

Contact Info

Email: brpuneet898@gmail.com
Phone: 9205055853

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