Headline

AI Engineer · LLM & RAG Systems | Agentic AI Developer | ML Intern @ Cognifyz | PyTorch · LangChain · FastAPI

About

I'm an AI/ML Engineer and Agentic AI Developer passionate about building systems that actually work in production — not just notebooks. Currently interning at Cognifyz Technologies, where I've improved model prediction accuracy by 12% through Generative AI fine-tuning, optimized RAG infrastructure using ChromaDB, and redesigned data pipelines to boost throughput by 20%. My projects span the full AI stack: — Reduced federated model communication payloads by 99.3% (600MB → 3.8MB) using PEFT/LoRA while maintaining 92% global accuracy — Built a production NL2SQL agentic system using LangGraph + FastAPI with strict PostgreSQL schema enforcement — Trained a COVID-19 chest X-ray classifier in PyTorch achieving 89% diagnostic accuracy Core stack: Python · PyTorch · LangChain · LangGraph · FastAPI · RAG · PEFT · ChromaDB · Docker · AWS I'm pursuing B.Tech in CSE at Keshav Memorial Engineering College (2027) and actively targeting AI Engineer and Agentic AI Developer roles — full-time or high-impact internships. Let's connect if you're building something interesting with LLMs or agentic systems.

Location

Secunderābād

Work experience

Machine Learning Intern at Cognifyz Technologies, Apr 2026 - Present · 3 mos, Fine-tuned and integrated Generative AI models with customized validation pipelines, improving prediction accuracy by 12% over evaluation baselines Architected production RAG infrastructure using ChromaDB vector storage, reducing data lookup latency and accelerating token retrieval for LLM query pipelines Redesigned end-to-end feature engineering and data preprocessing pipelines, increasing dataset preparation throughput by 20% for downstream model training

Education

Bachelor of Engineering, Computer Science, Keshav Memorial Engineering College

high school, SSC, Sri Chaitanya Techno School, Hyderabad