Yash Katiyar
@yashkatiyar
Full Stack Software Engineer building scalable web, mobile, and AI products.
What I'm looking for
I’m a Full Stack Software Engineer focused on shipping production-ready web and mobile apps end-to-end, from APIs to the user experience. I build with Java, TypeScript, React, React Native, Flutter, Node.js, and SwiftUI, with an emphasis on performance and reliability.
In production roles, I’ve engineered scalable REST APIs in Node.js/Express.js, optimizing SQL and system behavior to reduce response times and integration friction under real load (including 200+ concurrent users). I also deployed releases through CI/CD with 99.5% uptime using zero-downtime blue-green patterns, plus RBAC and workflow automation for high-throughput ERP processing.
I enjoy turning product ideas into intelligent features. I built an AI wellness platform (Next.js, TypeScript, Supabase) for 200+ beta users and an AI assistant powered by OpenAI API + LLM inference that generated 1,000+ personalized meal and fitness plans—secured with Supabase Auth and Row-Level Security.
I’m equally motivated by rapid iteration and measurable outcomes. I integrate analytics (e.g., PostHog) to drive data-backed improvements, and I’ve proven it in competitive builds—winning a 24-hour iOS hackathon with a SwiftUI/MVVM app against 50+ teams.
Experience
Work history, roles, and key accomplishments
Full Stack Software Engineer
Web Winners Tech Solution
Feb 2026 - Jun 2026 (4 months)
Engineered scalable RESTful APIs in Node.js and Express.js, reducing front-end integration time by 30% across 10+ modules. Optimized SQL queries to cut API response time by 40% under 200+ concurrent users and deployed production releases via CI/CD with zero-downtime blue-green, implementing RBAC and workflow automation for ERP processing.
Full Stack Software Engineer
EZ Care AI
Dec 2025 - Feb 2026 (2 months)
Built an AI wellness platform with Next.js, TypeScript, and Supabase, delivering personalized recommendations to 200+ beta users across 15+ health metrics. Developed an EZBuddy AI assistant using the OpenAI API and LLM inference with Supabase Auth and Row-Level Security, and integrated PostHog tracking to drive retention improvements during Agile sprints.
Education
Degrees, certifications, and relevant coursework
KIET (Deemed to be University)
Bachelor of Technology (B.Tech), Computer Science and Engineering (AI)
2023 - 2027
Pursuing a B.Tech in Computer Science and Engineering (AI) at KIET (Deemed to be University), Ghaziabad (2023–2027).
Indian Institute of Technology Madras
Bachelor of Science (B.S.), Data Science
2023 - 2027
Studying for a B.S. in Data Science at IIT Madras (2023–2027).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
yashkatiyar.mePortfolio
coldclaw.techJob categories
Skills
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