---
title: "Namit Jain - SDE in Bengaluru | Tal"
description: "Meet Namit Jain, Full-Stack Engineer | Backend & AI Systems | Python · FastAPI · Next · Node.js | Open to SDE / Backend / AI Roles based in Bengaluru. AI stack includes anthropic apis, claude code, and claude. Explore public work links including github."
image: "https://tal.club/meet/namit-jain/share-image"
---

# Namit Jain on Tal

## Headline

Full\-Stack Engineer \| Backend & AI Systems \| Python · FastAPI · Next · Node\.js \| Open to SDE / Backend / AI Roles

## About

I build production\-grade systems at the intersection of full\-stack engineering and AI \- shipping everything from RAG pipelines and LLM agent workflows to scalable APIs and backend infrastructure\. Currently at Oncourse AI as a Full\-Stack Engineer, where I've: \- Cut API latency by 50% and eliminated recurring failures across critical endpoints \- Built AI workflows \(RAG chat, quiz agents, content pipelines\) that replaced manual learning and support flows \- Scaled SEO infrastructure to 4M\+ impressions in 3 months through automated research and publishing systems \- Designed a centralized content system reducing duplication across questions, lessons, and media Before that, as Founding Engineer at Saathi\.app, I owned the full backend \- reduced latency by 60%, scaled data pipelines to 1M\+ records, and built LLM orchestration systems for real\-time travel planning\. I'm a multi\-hat engineer\. My core is backend and AI systems, but I ship end\-to\-end when the problem needs it \- from infrastructure to frontend to growth tooling\. 🔍 Open to Full\-Stack, Backend, and AI Engineering roles where I can own systems and ship fast\. Tech: Python · FastAPI · Node\.js · React · Next\.js · AWS · Docker · RAG · LLM Orchestration · Vector DBs

## Location

Bengaluru

## AI stack

anthropic apis

claude code

claude

codex

cursor

deepseek

## Work experience

SDE at Oncourse AI, Jun 2025 \- Present · 1 yr 3 mos, India, Built and owned AI\-powered systems and backend infrastructure across the full product — from LLM workflows to API performance to growth engineering\. AI & Backend Systems Designed and deployed RAG\-based chat, quiz generation agents, and automated content pipelines using retrieval and structured generation — replacing manual learning and support flows entirely Built a centralized content and asset system enabling reuse across questions, lessons, and media, reducing duplication and improving consistency at scale Improved API performance by \~50% and eliminated recurring failures by identifying and resolving root causes across critical endpoints Growth Infrastructure Scaled SEO from 0 to 4M\+ impressions in 3 months \(0\.8% CTR\) by architecting automated research, content generation, and publishing pipelines Built user engagement systems including referrals, gamification, progress tracking, and audio learning — directly contributing to retention improvements Stack: Python · FastAPI · React · Node\.js · AWS · MongoDB · Redis · Vector DBs · Docker · CI/CD

Founding Engineer at Saathi\.app, Nov 2024 \- Jun 2025 · 8 mos, Bengaluru, Karnataka, India, \- Architected and maintained core backend services using Express\.js and FastAPI; refactored endpoints with async patterns and connection pooling, reducing latency by 60%\. \- Led end\-to\-end development of an AI\-powered Travel Planner, designing microservices and implementing real\-time LLM orchestration for itinerary generation\. \- Integrated 4\+ external vendor APIs \(e\.g\., Ticket, Viator, Skyscanner, RateHawk\) to enable full\-cycle hotel booking and payments, reducing manual effort by 70%\. \- Built scalable ETL and web\-scraping pipelines using Python and Selenium, ingesting 1M\+ records and transforming 2M\+ data points for personalized travel recommendations\. \- Deployed backend services using AWS \(EBS, S3, RDS\) and established CI/CD pipelines with GitHub Actions and AWS CodePipeline, enabling zero\-downtime releases with rollback support\. \- Engineered LLM\-focused enhancements including context\-window management, token limit handling, structured schema generation, and memory retention strategies for conversational agents\. \- Optimized RESTful API endpoints and improved application responsiveness, contributing to a 30% reduction in latency and enhanced user experience\. \- Developed and maintained robust conversational AI features using FastAPI, delivering real\-time travel assistant capabilities via API integrations\.

Software Developer at JivusAi, Aug 2024 \- Nov 2024 · 4 mos, Remote, \- Developed a real\-time Voice AI Assistant using VAPI, Twilio, and custom LLMs \(OpenAI, Azure\), powering dynamic multi\-turn conversational workflows\. \- Built and deployed RESTful APIs to manage voice interactions, function calls, and user context, enabling fluid conversation continuity and real\-time responsiveness\. \- Set up and fine\-tuned LLM pipelines for speech understanding, response generation, and memory persistence across sessions, improving interaction quality and retention\. \- Integrated OAuth2 authentication with HubSpot CRM to enable secure agent access, real\-time contact sync, and intelligent call routing\. \- Designed a live dashboard to track key voice agent KPIs including call duration, resolution rates, and sentiment analysis, enabling data\-driven performance tuning\. \- Engineered inbound and outbound Conversational AI agents, automating customer support flows and reducing average handling time by 40%\.

Full Stack Developer at SalonGo, Jan 2024 \- Apr 2024 · 4 mos, remote, Designed and engineered a scalable data pipeline to efficiently process 50K\+ records, implementing automated validation and transformation workflows that reduced data errors by 25%\. Developed and optimized RESTful APIs using Node\.js and Express\.js, significantly enhancing system scalability and reducing response times\. Integrated JWT\-based authentication to secure user access, ensuring data protection and compliance with security best practices\.

Reactjs Trainee at Solitaire Infosys Inc, Jul 2023 \- Aug 2023 · 2 mos, Mohali district, India, Proficient in React\.js, with hands\-on experience in building dynamic web applications\. Developed and deployed 5\+ highly responsive, performance\-optimized components for an e\-commerce platform, ensuring seamless compatibility across 90%\+ of devices\. Skilled in front\-end development, responsive design, cross\-browser compatibility, and performance optimization\.

## Education

Bachelor of Technology \- BTech, Computer Science, Chandigarh Group Of Colleges

Hsc, Computer Science, Meerut City Public School

## Public links

- github: https://github\.com/Namit2111

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

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