AI Engineer

I am an AI Engineer with experience building scalable AI-powered products, backend systems, and automation workflows. I currently work on a sports academy platform that has scaled from zero to more than 12,000 users across iOS, Android, and web.

I design and implement agentic AI systems using LangGraph, ReAct agents, retrieval-augmented generation (RAG), LangChain, and local Llama models. My work includes automating operational workflows such as fee collection, player management, financial auditing, and analytics-driven squad selection.

I have strong backend engineering experience with Python, FastAPI, Django REST Framework, TypeScript, Node.js, PostgreSQL, Redis, Kafka, RabbitMQ, and Celery. I build reliable APIs, distributed workflows, microservices, and real-time applications using REST APIs and WebSockets.

I focus on performance, scalability, and operational reliability. I have reduced system latency from 6.1 seconds to 20–80 milliseconds, increased throughput fivefold, and built payment orchestration systems processing more than ₹4 million in monthly transactions.

I am comfortable working across cloud and DevOps practices, including Docker, AWS, Nginx, CircleCI, GitHub Actions, and CI/CD automation. I also have experience with web scraping, semantic search, vector databases, distributed databases, authentication, and role-based access control.

I hold a B.Tech in Electronics and Telecommunication and enjoy solving complex product and infrastructure challenges through practical, production-ready engineering.