---
title: "Pullagura Sesh Pavan - Web Developer in Greater Hyderabad Area | Tal"
description: "Meet Pullagura Sesh Pavan, Data Science + Backend Engineer | Python · Java · RAG · Spring Boot · AWS · Docker | Open to ML and SWE roles based in Greater Hyderabad Area."
image: "https://tal.club/meet/pullagura-sesh-pavan-1/share-image"
---

# Pullagura Sesh Pavan on Tal

## Headline

Data Science \+ Backend Engineer \| Python · Java · RAG · Spring Boot · AWS · Docker \| Open to ML and SWE roles

## About

1️⃣ Who I Am I'm a B\.Tech \(Information Technology, 2025\) graduate who builds AI features that don't stop at notebooks i\.e they run inside real systems\. My work sits at the intersection of Python GenAI/ML and Java/Spring Boot backends, and I'm comfortable taking something from a local model all the way to a Dockerized, CI/CD\-deployed production environment on AWS\. 2️⃣ GenAI / Data Science Most of my AI work has been about making models actually useful in a product context, not just accurate in isolation\. With ResumeLens, I built a full RAG pipeline using FastAPI, LangChain, HuggingFace, and FAISS — the interesting challenge there wasn't retrieval itself, but getting consistent, hallucination\-resistant answers over messy real\-world documents\. For my License Plate Recognition system, I trained YOLOv11 on a 1\.7k\-image dataset and served it via Flask for real\-time inference, reaching 86\.4% test accuracy\. Across these projects I've worked with MLflow and DVC for experiment tracking, Dockerized pipelines for reproducibility, and Tableau/Plotly/Seaborn for communicating findings clearly\. 3️⃣ Backend / Full\-Stack Engineering On the backend side, I built FinTrack — a RESTful portfolio tracker in Java 21 \+ Spring Boot 3 with PostgreSQL, Flyway migrations, JUnit testing, and a full CI/CD pipeline via GitHub Actions to AWS\. I also built an Order Matching Engine in Java to get comfortable with concurrency, correctness under load, and thread\-safe data structures — the kind of foundations that matter in production systems\. On the client side, I shipped a hybrid Next\.js \+ Shopify e\-commerce experience for 1:9 Perfumery, which included Razorpay checkout, an RBAC admin dashboard, and a 3D bottle model integrated with React Three Fiber, taken from zero to live\. 4️⃣ How I Work Clean Git workflows, tests where they count \(JUnit, Spring Boot Test\), cost\-aware AWS usage, and fast ramp\-up on new tools for example \- I picked up RAG and vector DBs for ResumeLens in a relatively short window\. I'm also comfortable communicating across design, marketing, and engineering, which has mattered in client work\. 5️⃣ What’s Next I'm looking for an entry\-level GenAI/Data Science role and genuinely open to backend\-heavy teams where I can learn fast, and contribute from day one\. 🔗 GitHub: github\.com/PSeshpavan Let's connect\.

## Location

Greater Hyderabad Area

## Work experience

Web Developer at 1:9 Perfumery, Jul 2025 \- Oct 2025 · 4 mos, Architected and shipped a hybrid Next\.js \+ Shopify e\-commerce experience covering the marketing site, product/collection flows, and Razorpay checkout, taking the site from build to live in October 2025\. Built a secure RBAC admin dashboard that lets the marketing team publish and manage journal and blog content independently, removing the dev bottleneck and cutting content turnaround from 2 days to 3 hours while keeping permissions controlled\. Integrated an interactive 3D perfume bottle experience using React Three Fiber, and collaborated with a UI/UX designer in Figma to ship pixel\-accurate, production UI that strengthens the brand's visual storytelling\.

Full Stack Developer at WelkinTech, Jun 2024 \- Sep 2024 · 4 mos, Remote, Sole developer on Project\-Stars, an early\-stage social platform for the Indian entertainment industry connecting emerging talent, directors, and producers across 24 craft categories\. Designed the full UI/UX and built the entire system independently \- React 18 \+ Tailwind CSS \+ Redux Toolkit frontend, Express\.js \+ MongoDB backend, with GridFS for binary media streaming to reduce server memory overhead\. Implemented a double JWT authentication pattern \(access \+ refresh tokens in HttpOnly, SameSite:Strict cookies\) with automatic client\-side token rotation via an Axios interceptor, protecting against XSS and CSRF\. Made all architectural decisions solo as no senior engineering counterpart was involved\. Translating product requirements directly into a Dockerized application\. Project was discontinued after 4 months when the founding team dispersed\.

## Education

Bachelor of Technology \- BTech, Information Technology, Anurag group of institutions

Intermediate, MPC, Vijaya Ratna Junior College

[View the original profile](https://tal.club/meet/pullagura-sesh-pavan-1)

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