Nawazish Hassan
@nawazishhassan
Computer Science student focused on GenAI, MERN full‑stack, and frontend engineering.
IndiaWhat I'm looking for
I am a Computer Science student at IIIT Bhagalpur specializing in GenAI (RAG), MERN full‑stack development, and frontend engineering. I have deployed multiple production-grade applications and solved over 1000 algorithmic challenges, demonstrating strong system design and data-structure skills.
In professional projects I architected a RAG pipeline using Gemini API and vector embeddings, cut hallucinations by 40%, and optimized retrieval latency to under 100ms. I built a clinical management SaaS serving 300+ active users, improved MongoDB query performance by 35%, and automated prescription workflows to reduce manual effort by 60%.
As a leader and mentor I serve as Secretary & Technical Lead of my college Web Development Club, guiding 50+ juniors and running a 200+ participant hackathon. I seek to contribute reliable, performant systems and ship user-focused products leveraging modern AI and web stacks.
Experience
Work history, roles, and key accomplishments
Frontend Developer
CineVelo
Built a Netflix-style movie discovery frontend integrating TMDB API for 10,000+ titles, improved frontend performance by 25% with lazy loading and modular state, and maintained Firebase-backed watchlist persistence at 100% uptime.
GenAI Developer
SymptoSense AI
Architected a RAG pipeline using Gemini API and vector embeddings that reduced hallucination rates by 40% and optimized retrieval latency to <100ms for 38 disease categories, while delivering a responsive medical UI and secure session analytics.
Full Stack Developer
DocuScript
Developed an E-prescription MERN SaaS used by 300+ active users, improved query performance by 35% via MongoDB indexing and bulk seeding, and automated prescription workflows reducing report generation time by 60%.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Information Technology, Bhagalpur
Bachelor of Technology, Computer Science
2022 -
Grade: 7.72 CGPA
Activities and societies: Built and deployed production applications; participated in Web Development Club as Secretary & Technical Lead.
Pursuing a Bachelor of Technology in Computer Science with a focus on GenAI, Full Stack Development, and Frontend Engineering; current CGPA 7.72.
Nezamia Public School
Class XII (CBSE), Senior Secondary Education
2019 - 2020
Grade: 76.0%
Completed Class XII (CBSE) with a percentage of 76.0%.
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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