Looking for a job

Pochiraju Kailash Ram Markandeya Sharma

@pochirajukailashramm

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I build low-latency AI, backend, and distributed systems for real-time products.

India

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What I'm looking for

I'm looking to build scalable backend, distributed systems, and real-time AI products where I can work on challenging engineering problems and grow through hands-on ownership.

I've built low-latency backend and AI systems at MeetMux, Pratinik Infotech, and CognifyEV. At MeetMux, I built 20+ microservice APIs, migrated inter-service communication to gRPC, and developed a Judge0 sandbox handling 5,000+ daily evaluations.

I also build real-time products, from an AI interview platform and LLM website builder to a Raft-based distributed key-value store. I enjoy working across React, Node.js, FastAPI, Redis, PostgreSQL, WebSockets, Docker, and C++ systems engineering.

Experience

Work history, roles, and key accomplishments

Software Engineering Intern

MeetMux

May 2026 - Jul 2026 (2 months)

Built 20+ REST APIs across microservices with Redis caching, rate limiting, and optimized request handling, reducing API latency by 40%. Replaced REST with gRPC for inter-service communication, reducing latency by 35% while supporting 1,000+ concurrent sessions.

REST APIs Microservices Redis Rate limiting gRPC Judge0 WebSockets AI Proctoring (Computer Vision)

Machine Learning Intern

Pratinik Infotech

Nov 2025 - Jan 2026 (2 months)

Built a real-time fraud detection pipeline with feature engineering, class-imbalance handling, model training, and threshold optimization. Developed a FastAPI inference service with PostgreSQL and Redis for low-latency transaction prediction and real-time monitoring.

Machine Learning Feature Engineering Class Imbalance fastAPI PostgreSQL Redis Precision Recall PR AUC Feature Importance

Artificial Intelligence Intern

CognifyEV

Aug 2025 - Sep 2025 (1 month)

Built an AI chatbot using RAG pipelines and FastAPI, enabling context-aware, accurate responses from external knowledge sources. Implemented embedding-based retrieval to reduce hallucinated responses by 30% while improving overall response relevance.

RAG fastAPI Embedding Based Retrieval AI Inference Chatbot