---
title: "Chandragiri Balaji Haricharan - Machine Learning Intern in Secunderābād | Tal"
description: "Meet Chandragiri Balaji Haricharan, AI Engineer · LLM & RAG Systems | Agentic AI Developer | ML Intern @ Cognifyz | PyTorch · LangChain · FastAPI based in Secunderābād."
image: "https://tal.club/meet/chandragiri/share-image"
---

# Chandragiri Balaji Haricharan on Tal

## 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

[View the original profile](https://tal.club/meet/chandragiri)

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