Samvesh Saini
@samveshsaini
Full-stack developer building production RAG and real-time AI experiences with clean UX and dependable APIs.
What I'm looking for
I build full-stack, production-grade AI applications with a focus on RAG pipelines, real-time experiences, and reliable APIs. I engineered a streaming AI chat using SSE and created a production RAG dashboard for side-by-side YouTube vs Instagram Reel audits, indexing fetched metadata into a persistent ChromaDB vector store.
Through internships and project work, I’ve deployed frontend/backend stacks on Vercel and Render and delivered features like JWT auth, protected REST APIs, admin dashboards, and responsive UI improvements. I also prototype specialized tooling—like a Python CLI Binance Futures Testnet trading bot—while staying grounded in DSA/OOP fundamentals and cloud deployment practices.
Experience
Work history, roles, and key accomplishments
Web Development Intern
InAmigos Foundation
Contributed to production-ready web development work, including designing and building new page layouts and resolving UI/UX issues for a video-auditing application. Implemented responsive UI improvements and handled integration constraints such as restrictions and rate limits in production.
VideoIQ RAG Video Auditor
Samvesh Projects
Built an AI-powered RAG dashboard that audits and compares YouTube vs Instagram Reels using metadata fetched via YouTube Data API v3 and Apify, indexed into a ChromaDB vector store. Implemented a real-time streaming AI chat experience using SSE and cited chunk-based responses.
Full Stack Nutrition Platform
Fruitora
Developed a full-stack nutrition platform with JWT-authenticated APIs, live USDA nutrition data, interactive charts, maps, and recipe recommendations. Built an admin analytics dashboard and implemented protected REST APIs backed by MongoDB Atlas, deployed on Vercel and Render with CI/CD.
Education
Degrees, certifications, and relevant coursework
Chandigarh University
Bachelor of Engineering, Computer Science & Engineering
Grade: CGPA: 7.8
B.E in Computer Science & Engineering at Chandigarh University, achieving a CGPA of 7.8. Expected completion in 2026.
Helix Oxford Smart School
Higher Secondary, PCM (Physics, Chemistry, Mathematics)
Grade: PCM: 77%
Higher Secondary education with PCM, scoring 77%. Completed in 2022.
Ganga International School
Secondary School
Grade: 75%
Secondary School education completed in 2020 with 75% marks.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
portfolio-site-two-virid.vercel.appJob categories
Skills
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