MS Computer Science @ Boston University | ML Engineer | Biotech Background
Building production ML systems with expertise in LLMs, RAG architectures, and MLOps.
- Fine-tuning and deploying LLMs (Llama, GPT) for production use
- Building RAG systems and multi-agent architectures
- ML infrastructure and distributed training (PyTorch FSDP, vLLM)
- Domain expertise in computational biology and healthcare tech
Multi-Agent RAG System - Processing 50K+ documents with hybrid search (BM25 + BGE-M3) and LangGraph workflows
Clinical LLM - Fine-tuned Llama 3 8B using QLoRA with 87% F1-score on medical entity extraction
5G Network Optimization - IEEE publication on explainable AI for energy-efficient telecom networks
ML/AI: PyTorch | TensorFlow | LangChain | HuggingFace | Transformers
LLMs & GenAI: GPT-4 | Llama 3 | RAG | Fine-tuning (QLoRA, LoRA) | vLLM
MLOps: Docker | AWS | MLflow | Weights & Biases
Backend: Python | Node.js | PostgreSQL | FastAPI | Redis
- 📧 Email: srikarjy77@gmail.com
- 💼 LinkedIn: linkedin.com/in/srikar