Data Scientist (Genai, Llms, Ml)
Current- I am developing END-to-END GenAI/LLM/ML products, including RAG, question answering, conversational AI (Chatbots), text summarization, named entity recognition (NER), text classification, sentimentanalysis, and machine.
- 2nd Project: Created an End‑to‑End LLM web‑app for retail searching products via fine‑tuning GPT‑3.5 Turbo and coupling it with SQL database using Langchain. I used FastAPI and Jinja for web‑interface, and deployed the.
- 3rd Project: Developed an End‑to‑End Generative AI web‑app based on google‑flan‑t5‑base LLM and prompt engineering to answer questions given document contexts. I utilized the following packages: Langchain, FAISS.
- 4th Project: Developed an End‑to‑End LLM web‑app via LaMini‑Flan‑T5‑248M to perform text summarization of PDF contexts, using HuggingFace, Langchain, Docker, AWS EC2, Github action (CI/CD), and Flask.
- 5th Project: Pretrained a sparse transformer variant for sequence modeling based on local attention. Results: A remarkable 78% reduction in the FLOPs computation time compared to the vanilla attention. The model gives.