---
title: "Pronaydeep Paul - Full-Stack AI Developer — Gamma-style AI Application in Bengaluru | Tal"
description: "Meet Pronaydeep Paul, Full-Stack Engineer | React · Next.js · Node.js | LLM Integration & AI Microservices | MCA @ KiiT based in Bengaluru. AI stack includes antigravity, claude code, and claude. Explore public work links including github and leetcode."
image: "https://tal.club/meet/pronaydeep-paul/share-image"
---

# Pronaydeep Paul on Tal

## Headline

Full\-Stack Engineer \| React · Next\.js · Node\.js \| LLM Integration & AI Microservices \| MCA @ KiiT

## About

I build full\-stack applications and AI\-powered systems — from the React frontend to the LLM microservice running behind it\. Recently, I designed and shipped the Media Analyst AI Agent: a production\-style distributed system that ingests long\-form audio/video, runs transcription via OpenAI Whisper, and generates structured insights using LLMs\. I built every layer independently — frontend UI, API gateway, async task queues, AI microservices, and deployment pipeline\. What I work with: React · Next\.js · Node\.js · Express · JavaScript · TypeScript · REST APIs · LLM APIs \(OpenAI, Anthropic\) · Whisper · Microservices · Async Queues · Docker · MongoDB What I've shipped: → Media Analyst AI Agent — end\-to\-end AI pipeline: audio/video → Whisper transcription → LLM\-structured insights, built as a full microservices architecture → Gamma\-style AI App — agentic workflow app with real\-time LLM analysis, built at Google Kyoto West \(Google Labs Build & Blog Marathon\) → 50\+ structured test cases and 30\+ JIRA\-tracked bugs documented at Besant Technologies What makes me different: I come from a Physics background \(BSc\) before completing my MCA — which means I approach systems analytically, not just syntactically\. I don't glue APIs together; I think about data flow, failure modes, and scalability from the start\. Graduated my MCA at KiiT \(graduated 2025\)\. Looking for SDE\-1, Frontend Engineer, or AI Engineer roles at companies building real, hard technical products\. GitHub: github\.com/Pronaydeep

## Location

Bengaluru

## AI stack

antigravity

claude code

claude

Blackbox AI

ChatGPT

OpenRouter

## Work experience

Full\-Stack AI Developer — Gamma\-style AI Application at Google Labs Build & Blog Marathon, Sep 2025 \- Oct 2025 · 2 mos, Bengaluru, Karnataka, India, Built a Gamma\-style AI\-powered presentation and content generation application with agentic workflows as part of Google's Build & Blog Marathon event\. Designed an agentic workflow layer where users input a topic and the system autonomously plans, drafts, and structures content — following a task decomposition → per\-step execution → result assembly pattern Implemented real\-time AI output using streaming LLM responses, delivering content progressively and reducing perceived latency significantly versus waiting for full generation Built and documented the project end\-to\-end within the event's time constraints, producing a working demo and technical writeup Explored agent orchestration patterns \(planning, tool use, structured output\) used in production AI systems at scale\.

Full\-Stack & AI Engineer — Media Analyst AI Agent at Company, Aug 2025 \- Sep 2025 · 2 mos, Bengaluru, Karnataka, India, Designed and built a production\-style distributed AI system entirely from scratch — frontend, API gateway, async task queues, and 3 independent AI microservices running in parallel\. Implemented an audio/video transcription pipeline using OpenAI Whisper, processing long\-form media files \(60\+ minutes\) into time\-stamped transcripts with structured JSON output Integrated LLM APIs to generate structured insights \(summaries, key topics, sentiment\) from raw transcripts — reducing manual review time for long\-form content from hours to under 2 minutes Built an async queue system \(Bull/Redis pattern\) to handle concurrent media processing without blocking the API gateway, enabling the system to handle multiple jobs simultaneously Designed the microservices layer for extensibility — new AI services can be added without modifying the core gateway, following a clean separation of concerns Architected and deployed the full system end\-to\-end: UI → gateway → queue → microservices → output delivery

Software Tester intern at Besant Technologies, Mar 2022 \- Jul 2022 · 5 mos, Bengaluru, Karnataka, India, Created and executed 50\+ manual test cases Documented 30\+ bugs in JIRA Performed regression, smoke, and UI testing Worked with functional specifications and user stories

Software Test Engineer at Besant Technologies, Mar 2022 \- Jul 2022 · 5 mos, Drove defect detection rate of 60%\+ by designing and executing 50\+ manual test cases across regression, smoke, and UI suites — reducing client\-reported bugs by an estimated 40% pre\-release\. Reduced bug reproduction time by \~30% by directly analysing backend API behaviour and functional specs with developers, cutting back\-and\-forth cycles on 15\+ defect tickets tracked in JIRA\. Owned end\-to\-end QA for 3 client\-facing features, including UI stability checks across 5 browsers — achieving zero P0 regressions in final UAT\.

## Education

Master of Computer Applications \- MCA, Computer application, KIIT \- Kalinga Institute of Industrial Technology

Bachelor of Science \- BS, physics, Dibrugarh university

## Public links

- github: https://github\.com/Pronaydeep
- leetcode: https://leetcode\.com/Pronaydeep\_Paul1999

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

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