Summary
Shwet Prakash is a Senior Machine Learning Engineer with ~9 years of experience and a Master’s in Computer Science, specializing in production-grade Generative AI, MLOps, and scalable backend systems. He designs and ships stateful, multi-agent conversational ecosystems—recently architecting low-latency, real-time voice and flight-booking agent swarms using LangGraph, LiveKit, FastAPI, and PostgreSQL. His background spans practical model optimization (knowledge distillation and quantization) and fine-tuning (LoRA/PEFT), having improved inference latency up to 4x while preserving accuracy. Shwet also builds the full stack around models—data pipelines, Vector DB–backed RAG, Redis caching, NestJS/FastAPI services, and AWS containerized deployments—ensuring continuous delivery with MLflow, DVC, and CI/CD. Notably, he wired LLM-driven long-term memory via Neo4j knowledge graphs and a 25+ tool modular agent toolchain for household assistant workflows. He combines rigorous academic problem-solving with hands-on engineering to move AI agents from prototypes to resilient, real-world products.
9 years of coding experience
7 years of employment as a software developer
class 12th, Chemical Physics,maths,English,physical education, class 12th, Chemical Physics,maths,English,physical education at Degree students jobs
Bachelors and Masters, Computer Science, Bachelors and Masters, Computer Science at Indian Institute of Information Technology Design & Manufacturing Kancheepuram
English, Hindi