Projects
Here are some of my key projects that demonstrate my expertise in AI/ML, Software Engineering, and Full-Stack Development.
An innovative agentic assistant that integrates multiple LLMs (ChatGPT, Llama, Gemini) to automate task generation through multi-agent reasoning. Winner of $3500 prize at VenturePack Challenge.
Key Highlights:
- Multi-agent reasoning with LLMs
- Full-stack architecture with FastAPI and TypeScript
- Interactive chat with dynamic event understanding
- Won $3500 at VenturePack Challenge
Tech Stack:
d-shop Assistant
A Generative AI assistant for SAP d-shop internal wiki and support tooling using LLMs and RAG techniques. Integrated with Teams, GitHub, and Outlook to streamline workflows.
Key Highlights:
- Context-based responses using RAG techniques
- Integration with Teams, GitHub, and Outlook APIs
- Reduced manual query handling by 60%
- Prompt engineering and task orchestration
Tech Stack:
An NLP model incorporating Knowledge Graphs to answer complex multi-hop questions. Achieved 80.13% accuracy, outperforming BERT on SQuAD and Multi-RC datasets. Published in IEEE Xplore.
Key Highlights:
- 80.13% accuracy on multi-hop questions
- Outperformed BERT on SQuAD and Multi-RC datasets
- Published research paper in IEEE Xplore
- Entity pair extraction and POS tagging
Tech Stack:
BioInsight - Biomanufacturing Analytics Platform
End-to-end analytics platform for BTEC to analyze biolector data from 1mL and 30L scale experiments. Built ML pipelines for KPI prediction and time series forecasting.
Key Highlights:
- ML pipelines for KPI prediction and forecasting
- LSTM for time series forecasting
- Isolation Forest for outlier detection
- Interactive Streamlit visualizations
Tech Stack:
A sophisticated chatbot designed to provide mental health support and answer COVID-19 related FAQs. Built using advanced NLP techniques to understand user emotions and provide appropriate responses.
Key Highlights:
- Emotion detection and response generation
- COVID-19 FAQ integration
- Mental health support capabilities
Tech Stack:
A comprehensive e-commerce website for books built using the MERN stack, featuring modern UI components developed with StencilJS for enhanced user experience.
Key Highlights:
- Full-stack MERN implementation
- StencilJS component integration
- Modern e-commerce features
- Responsive design