---
title: "HARSHITHA NEELAM - AI Engineer (Programmer Analyst Trainee) in India | Tal"
description: "Meet HARSHITHA NEELAM, AI Engineer · RAG Pipelines · LLM-Powered Systems · Python Backend · LangChain · AutoGen based in India."
image: "https://tal.club/meet/harshitha-5/share-image"
---

# HARSHITHA NEELAM on Tal

## Headline

AI Engineer · RAG Pipelines · LLM\-Powered Systems · Python Backend · LangChain · AutoGen

## About

I build production\-grade LLM and agentic AI systems the kind that run in real environments, not just notebooks\. FEATURED PROJECT Built an end\-to\-end multi\-agent LangGraph system for SRE incident response, deployed on Google Cloud Platform\. A supervisor routes incidents to three parallel worker agents \(logs, metrics, deploys\), an aggregator synthesizes evidence, a critic loop demands revisions until satisfied, and a finalizer commits a structured remediation plan shipped a FastAPI service on Cloud Run with IAM\-authenticated Cloud SQL state persistence, LangSmith observability, and Prometheus metrics\. Evaluated across 12 incident fixtures with 7 evaluators \(5 deterministic \+ 2 LLM\-as\-judge via Gemini 2\.5 Pro\) surfacing three measurable calibration biases documented in a public eval report\. → github\.com/harshithaneelam/sre\-incident\-copilot At Cognizant, Designed an LLM pipeline that identifies slow\-running SQL stored procedures using AppDynamics REST APIs, retrieves source code via GitHub integration, and uses an LLM to rewrite and optimize query logic validated with a pre/post execution metrics framework in a production environment\. OTHER PROJECTS → A multi\-agent RAG chatbot using LangChain \+ AutoGen \+ Azure Cosmos DB \(vector store\) enabling semantic search and context\-aware LLM responses over a product catalouge via a Flask API backend\. → Real\-time anomaly detection deep autoencoders on NSL\-KDD, live Streamlit monitoring dashboard\. My stack: Python · LangGraph · LangChain · AutoGen · RAG · Gemini \(Vertex AI\) · FastAPI · Cloud Run · Cloud SQL · LangSmith · Prometheus · Azure Cosmos DB · Flask · REST APIs · SQL · TensorFlow Always open to connecting with engineers and teams working on interesting LLM and agentic AI problems\. harshineelam\.30@gmail\.com

## Location

India

## Work experience

AI Engineer \(Programmer Analyst Trainee\) at Cognizant, Aug 2025 \- Present · 11 mos, Chennai, • Designed and implemented an end\-to\-end LLM pipeline to detect and optimize slow\-running SQL stored procedures integrating AppDynamics REST APIs for performance data ingestion, GitHub API for source code retrieval, and an LLM to analyze and rewrite query logic\. • Built a performance validation framework comparing pre\- and post\-optimization execution metrics, applying AI observability principles to measure real\-world impact in a production environment\. • Developed Python\-based backend services to fetch, process, and store application performance metrics from AppDynamics into databases, focusing on reliability, efficient API usage, and debugging live systems\. • Contributing to backend REST API development for multi\-module enterprise workflows, with involvement in code reviews, modular architecture design, and clean code practices\.

AI Intern at InTrain Tech, Oct 2023 \- Nov 2023 · 2 mos, Built and trained a CNN for multi\-class digit classification using Python and TensorFlow\. Implemented end\-to\-end data preprocessing pipelines and applied hyperparameter tuning to improve model generalization accuracy\.

## Education

Bachelor's degree, Computer Science with Specialization in Artificial Intelligence and Machine Learning, VIT\-AP University

Narayana Junior College \- India

[View the original profile](https://tal.club/meet/harshitha-5)

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