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

India

Bengaluru, Karnataka, India
Remote

remote

Mohali district, India







Bachelor of Technology - BTech, Computer Science
Chandigarh Group Of Colleges
Hsc, Computer Science
Meerut City Public School
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Download Tal BossFull-Stack Engineer | Backend & AI Systems | Python · FastAPI · Next · Node.js | Open to SDE / Backend / AI Roles
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
Bengaluru
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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.
Bachelor of Technology - BTech, Computer Science, Chandigarh Group Of Colleges
Hsc, Computer Science, Meerut City Public School
github: https://github.com/Namit2111