Master’s student in Applied Machine Learning with a strong foundation in AI research and model development. While working as a Software Developer, my primary focus has always been on AI—fine-tuning transformers, optimizing LLMs, and deploying scalable ML systems.
My research interests lie in Reinforcement Learning (RL), building true personal AI assistants with memory and adaptation, and advancing Explainable AI (XAI) for transparent decision-making.
- 🤖 Generative AI – Fine-tuning transformers, training custom LLMs
- 🔍 Retrieval-Augmented Generation (RAG) – Vector databases (FAISS, Pinecone), LangChain
- 📖 Natural Language Processing (NLP) – Tokenization, embeddings, text generation
- 🧠 Reinforcement Learning (RL) – RLHF, Decision Transformers, AI agents
- Used OpenAI embeddings & cosine similarity to assess resume-job fit
- Deployed using Azure ML
📞 LLM-Driven Customer Support System
- Built an automated AI support system with LLMs & RAG
- Optimized query retrieval using FAISS & OpenAI embeddings
🍽️ Multimodal RAG for Personalized Food Recommendations
- Integrated text + image data using AWS Bedrock & FAISS
