Namit Jain profile photo 1 on Tal

Namit Jain

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

Bengaluru

2+ years of work experience

Oncourse AI
Jun 20251 yr 3 mosPresent

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
Saathi.app
Nov 20248 mosJun 2025

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.
Aug 20244 mosNov 2024

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%.
SalonGo
Jan 20244 mosApr 2024

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.
Solitaire Infosys Inc
Jul 20232 mosAug 2023

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.

Namit’s AI Stack

anthropic apis
anthropic apis
claude code
claude code
claude
claude
codex
codex
cursor
cursor
deepseek
deepseek

Education

Chandigarh Group Of Colleges

Bachelor of Technology - BTech, Computer Science

Chandigarh Group Of Colleges

20214 yrs2025

Hsc, Computer Science

Meerut City Public School

200714 yrs2021

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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