---
title: "Sreejan Reddy - IT-Development Intern in Bangalore Urban | Tal"
description: "Meet Sreejan Reddy, Backend Developer | Go | Gin | Python | NLP based in Bangalore Urban. AI stack includes antigravity, claude code, and claude. Explore public work links including github."
image: "https://tal.club/meet/sreejan-reddy/share-image"
---

# Sreejan Reddy on Tal

## Headline

Backend Developer \| Go \| Gin \| Python \| NLP

## About

Final\-year ISE student at VIT Bengaluru\. Recently interned at Innomatics Research Labs as an Agentic AI Intern — built LLM\-powered systems, data pipelines, and RAG agents in Python\. Strong in Python and SQL for data manipulation and analysis\. Work with Pandas, NumPy, Scikit\-learn, MySQL, PostgreSQL, and Excel\. Familiar with Power BI for visualization\. Looking for data\-focused engineering roles in Bengaluru where I can contribute from day one\.

## Location

Bangalore Urban

## AI stack

antigravity

claude code

claude

## Work experience

IT\-Development Intern at PayAzzure, Sep 2026 \- Present · 2 mo, Bangalore

Agentic AI Intern at Innomatics Research Labs, Feb 2026 \- May 2026 · 4 mos, During my internship at Innomatics Research Labs, I worked on three Python\-based projects spanning REST API development, NLP, and Generative AI — building production\-style applications from the ground up\. > Python & NLP Foundations Completed structured tasks across Python fundamentals, data processing, and NLP concepts, working through progressively complex Jupyter notebook assignments covering text preprocessing and machine learning basics\. > FastAPI — Library Management REST API Built a fully functional Library Management System API with 20\+ endpoints using FastAPI and Pydantic\. Features include full CRUD, borrow/return logic with member tier support, a queue system for unavailable books, keyword search, multi\-field sorting, filtering, and paginated browsing — all with validated inputs and proper HTTP error handling\. > RAG\-based Customer Support Assistant Developed an AI customer support chatbot using Retrieval\-Augmented Generation \(RAG\)\. The system ingests PDF knowledge bases, embeds them via HuggingFace \(all\-MiniLM\-L6\-v2\), stores them in ChromaDB, and uses a LangGraph workflow to route queries — returning confident answers directly and escalating uncertain ones to a human agent with a 24\-hour SLA via a Human\-in\-the\-Loop module\.

UI/UX and Game Design Intern at Edutainer, Sep 2025 \- Dec 2025 · 4 mos, During my internship at Edutainer, I worked across three interconnected disciplines — C programming, UX design, and game development — completing a structured 12\-week program with weekly assignments, quizzes, and graded deliverables\. > C Programming & CS Fundamentals Built a strong foundation in computer science theory and hands\-on C programming\. Key projects included a variadic function implementation lab, a modular multi\-file program, and a structured file\-based data logger covering file I/O, dynamic memory management, and error handling\. > UX Design Applied industry\-standard UX frameworks to real\-world problems\. Evaluated interfaces using Nielsen's 10 Usability Heuristics, designed complete e\-commerce user flows \(onboarding → checkout → retention\), and built a professional Figma component library with variants, auto\-layout, and micro\-interaction animations\. Delivered UX audit reports, journey maps, user flow diagrams, and before/after conversion mockups\. > Game Design & Development \(Godot\) Designed and developed a Minimum Viable Game from concept to exportable build using the Godot engine and GDScript\. Implemented NPC AI using state machine logic, integrated 3D assets, PBR textures, audio, and particle effects, and applied iterative playtesting and debugging throughout the development cycle\.

## Education

Bachelor of Engineering, Information Technology, Vemana Institute of Technology \- Koramangala, Bengaluru

## Public links

- github: https://github\.com/pijonclif

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

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