👋 Hi, I'm Pranav
🎓 MS in Data Science · 🤖 Building applied AI systems · ⚙️ Interested in scalable ML + LLM infrastructure
I enjoy building systems that go from data → model → deployment → real-world use.
- Large Language Models (LLMs) — architecture, fine-tuning, and inference
- Retrieval-Augmented Generation (RAG) — building grounded, production-ready pipelines
- AI Agents & Automation — autonomous workflows and tool-use systems
- Applied Machine Learning — bridging research and real-world impact
- Generative Models — diffusion models, RLHF, and parameter-efficient fine-tuning
- MLOps & Infrastructure — CI/CD for ML, model registries, monitoring
- Distributed Model Serving — high-throughput, low-latency inference at scale
- End-to-end ML projects
- LLM experimentation + fine-tuning
- RAG architectures
- Production-ready pipelines
- Dockerized & cloud-deployed systems
- Infrastructure experiments
ML / AI · Python · PyTorch · LangChain · Hugging Face · scikit-learn
Infrastructure · Docker · Kubernetes · AWS · Terraform · GitHub Actions
Data · SQL · dbt · Spark · Data Pipelines
- Efficient fine-tuning techniques (LoRA, QLoRA, PEFT)
- High-throughput model serving (vLLM, TGI)
- Autonomous agent workflows
- Infrastructure for scalable AI systems
