I'm a final year undergrad at IIT Madras in Data Science & Applications. I'm passionate about applying machine learning and deep learning to solve real-world problems. My experience includes developing LLM-driven applications, building machine learning models, and conducting data analysis. I'm also keen on sharing my knowledge through teaching and workshops.
Here are some of the projects I've worked on:
- BharatGen Hackathon: Contributed to enhancing patient medication adherence by building the expiry date checker component.
- Tech Stack: Trained YOLOv8 model and built Flask APIs.
- AutoGrader GPT: An AI-powered grading application that uses GPT-4.
- Tech Stack: Python, Pandas, Gspread, Langchain, Streamlit
- Influencer Engagement and Sponsorship Coordination Platform: A platform for sponsors and influencers to manage campaigns and ad requests.
- Tech Stack: Python, Flask, SQLite
- Predictive Taxi Fare Model: A machine learning pipeline for predicting taxi fares.
- Tech Stack: Python, Scikit-Learn, Pandas, Kaggle
- B2B Stationery Market Analyzer: A research project involving data analysis and visualization for a B2B wholesale shop.
- Tech Stack: Excel
- Intern - Technology, Uncia Technologies
- Teaching Assistant @ GenWise
- Languages: Java, Python, PostgreSQL, JavaScript, HTML/CSS
- Frameworks: Flask, Langchain, Tensorflow, Pytorch
- Tools: Excel, Git, Google Cloud Platform, VS Code, Visual Studio, PyCharm, PowerBI
- Libraries: Pandas, NumPy, Matplotlib, Scikit-learn, NLTK, spaCy, Keras, OpenCV, Ultralytics
- Delivered a workshop in Deep Learning @ Shaastra 2025
- Mapping Indo-Swiss Collaborations, Bharath, S., Jaiswal, P., Bergman, M., & Robra, L. , (Forthcoming)