---
title: "Nagapoojith Ullam - Full Stack AI Engineer in Bengaluru | Tal"
description: "Meet Nagapoojith Ullam, Full Stack AI Engineer | Agentic AI | FastAPI · Django · Flask | LLM ·RAG ·Agents | React.js · AWS · Docker | REST APIs · MySQL · Postger sql based in Bengaluru. AI stack includes anthropic apis, claude code, and codex. Explore public work links including github and nagapooj..."
image: "https://tal.club/meet/naga-poojith-ullam/share-image"
---

# Nagapoojith Ullam on Tal

## Headline

Full Stack AI Engineer \| Agentic AI \| FastAPI · Django · Flask \| LLM ·RAG ·Agents \| React\.js · AWS · Docker \| REST APIs · MySQL · Postger sql

## About

I don't just study AI \- I ship it\. In the past year, I've designed and deployed 4 production\-grade AI systems end to end: a multi\-tenant SaaS platform, an agentic software engineer orchestrator running on GCP, a clinical AI analyst with 98% accuracy, and an enterprise RAG system that cut retrieval latency by 60%\. I'm a B\.Tech AI/ML graduate \(CGPA 8\.2, JNTUK, 2025\) based in Bengaluru and I build things that work in the real world, not just in Jupyter notebooks\. 🔧 WHAT I BUILD ⚡ Agentic AI Systems — LangGraph, LangChain, ReAct agents, multi\-agent orchestration, A2A/ACP networking ⚡ Python Backends — FastAPI, SQLAlchemy 2\.0, PostgreSQL, OAuth2/JWT, async APIs at production scale ⚡ Full Stack Platforms — React\.js frontends \+ Django ,FastAPI backends, deployed on GCP Cloud Run, Vercel, and Render ⚡ ML Pipelines — Scikit\-learn, XGBoost, FAISS vector search, RAG pipelines, HuggingFace embeddings 🏆 HIGHLIGHTS \- Won a 24\-hour hackathon \- 1st place out of 120\+ teams \- Built a 3\-node distributed AI orchestrator on GCP Vertex AI \- Achieved 98% classification accuracy on IoT botnet detection \- AWS Badge Cloud Practitioner \| Azure Fundamentals Certificate Udemy If you're building something ambitious with AI and need someone who can ship \- let's talk\. 📩 ullamnagapoojith222@gmail\.com

## Location

Bengaluru

## AI stack

anthropic apis

claude code

codex

cursor

langchain

langgraph

## Work experience

Full Stack AI Engineer at NRAI & ROBOTICS, Jun 2026 \- Present · 4 mo, BTM Stage\-2, Madiwala Lake, Brick building,NR Group,560076

Agentic AI Engineer \- Independent Projects at Self\-Employed, Jun 2025 \- Jan 2026 · 8 mos, Bengaluru, Independently designed and shipped 4 production\-grade Agentic AI and Full Stack systems end to end from architecture to cloud deployment\. ───────────────────────────────── 🤖 Autonomous Software Engineer Orchestrator \(2025\) ───────────────────────────────── \- Architected a 3\-node multi\-agent system \(Orchestrator → Coder → MCP Sandbox\) using LangGraph state machines and A2A/ACP networking on GCP Vertex AI \+ Cloud Run\. \- Eliminated a critical GraphRecursionError infinite loop by redesigning A2A payloads to carry last\-5\-node execution history resolved 100% of repeated failure cycles\. Stack: LangGraph · LangChain · Gemini 2\.5 Flash · FastAPI · GCP · React\.js · Docker ───────────────────────────────── 🏥 Autonomous Healthcare AI Analyst \(2025\) ───────────────────────────────── \- Built a dual\-engine Supervisor agent routing between a FAISS RAG pipeline and a self\-healing Pandas code interpreter cutting clinical data retrieval latency by 60%\. \- Achieved 98% accuracy on patient metric calculations via System Persona injection and Guardrails validation\. Stack: LangGraph · FAISS · HuggingFace · FastAPI · React\.js · Docker ───────────────────────────────── 🏢 Nexus AI Workspace — Multi\-Tenant SaaS \(2025\) ───────────────────────────────── \- Engineered a full stack multi\-tenant SaaS platform with OAuth2/JWT auth, rate limiting \(10 req/min/user\), async LLM task offloading, and zero\-downtime Alembic migrations\. \- Achieved 100% dev\-to\-production parity via Docker Compose — independently scaled frontend \(Vercel\) and backend \(Render\)\. Stack: FastAPI · React\.js · PostgreSQL · SQLAlchemy 2\.0 · Docker Compose · LangChain ───────────────────────────────── 🔗 Nexus LLM Gateway \(2024\) ───────────────────────────────── \- Delivered a unified LLM gateway \(Gemini \+ OpenAI\) with automated GitHub Actions CI/CD — zero manual deployment steps on every git push\. Stack: FastAPI · React\.js · Gemini Pro · OpenAI SDK · Vercel · Render

Artificial Intelligence & Machine Learning Intern at Corporate Innovative Technologies Private Limited, Dec 2024 \- Mar 2025 · 4 mos, Vijayawada, Andhra Pradesh, India, Completed a 4\-month AI/ML internship at Corporate Innovative Technologies Pvt\. Ltd\., recognized under AICTE and APSCHE\. 🔬 Key Contributions: \- Applied supervised learning techniques including classification and regression using Python, Scikit\-learn, and Pandas on real\-world datasets\. \- Built end\-to\-end ML pipelines covering data collection, preprocessing, feature engineering, model training, and evaluation using accuracy, precision, recall, and F1\-score\. \- Gained hands\-on experience with NumPy and Matplotlib for data analysis and visualization of model performance metrics\. 📜 Certificate ID: Ints/2025/1732774002 Stack: Python · Scikit\-learn · Pandas · NumPy · Matplotlib · Machine Learning · Data Preprocessing

AI/ML Final Year Project Lead \- IoT Botnet Detection System at Chalapathi Institute of Technology, JNTUK, Nov 2021 \- Apr 2025 · 3 yrs 6 mos, Guntur, Andhra Pradesh, India, Led a team of 4 to design and deploy a production\-grade two\-fold ML system for real\-time IoT network intrusion detection\. 🔬 What I built: \- Trained Random Forest, XGBoost, and SVM classifiers on large\-scale IoT network traffic data achieving 98% classification accuracy on benign vs\. botnet detection\. \- Owned the complete ML lifecycle: data collection, missing value handling, feature engineering on packet counts and communication patterns, hyperparameter tuning, and model evaluation using precision, recall, F1\-score, and confusion matrix\. \- Deployed the best model via joblib into a Django MVT web app users upload a network traffic CSV and receive real\-time predictions with visual benign/botnet distribution charts\. 🛠️ Stack: Python · Scikit\-learn · Random Forest · XGBoost · SVM · Pandas · NumPy · Matplotlib · Django · MySQL · joblib 📌 Role: Team Lead & Primary Data Scientist/ML Engineer

## Education

B\.Tech, Artificial intelligence and Machine learning, Chalapathi University

## Public links

- github: https://github\.com/Unp12
- nagapoojith\-ai\.vercel\.app: https://nagapoojith\-ai\.vercel\.app/

[View the original profile](https://tal.club/meet/naga-poojith-ullam)

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