About
Full Stack Developer with a track record of shipping — 3 live AI SaaS platforms built independently, from architecture to cloud deployment. Azure AI Engineer Associate certified (AI-102). Core stack: React.js, Node.js, PostgreSQL, REST APIs, JWT, and LLM integrations (Groq, Gemini). Proven results: sub-1.5s response latency, 40% faster debugging, zero-downtime deployments.
Skills & Expertise (38)
Work Experience
Full Stack Developer
Zenith AI
Present - Present
Architected a full-stack AI SaaS workspace with 4 integrated modules (content generation, image processing, resume analysis, community sharing), consolidating tools into a single dashboard to reduce context-switching. Built LLM-powered content pipelines via Groq API, achieving <1.5s average response latency; automated image generation using ClipDrop API for real-time AI output. Secured platform with JWT authentication and role-based access control across 6+ protected API routes; deployed frontend on Vercel and backend on Render with zero-downtime CI/CD.
Full Stack Developer
CodeMind AI
Present - Present
Engineered an AI-powered developer workspace supporting 4 core workflows - code review, debugging, refactoring, and complexity analysis - across 5+ programming languages. Embedded Groq AI SDK within Monaco Editor to deliver context-aware code suggestions; reduced estimated debugging time by 40% in user testing. Designed persistent report management with PDF export via MongoDB REST API; secured 8 API endpoints with JWT authentication and token refresh logic.
Full Stack Developer
ATSync AI
Present - Present
Built an end-to-end AI career platform with 4 modules: resume analysis, ATS score optimisation, skill gap detection, and interview preparation to improve candidate shortlisting rates. Engineered a Google Gemini AI pipeline to parse PDF resumes, generate ATS compatibility scores, detect skill gaps against job descriptions, and produce personalised interview questions in <5 seconds. Secured all resume-handling endpoints with JWT-based authentication and field-level access control, ensuring safe MongoDB storage of sensitive career data across a multi-module REST API architecture.
Education
B.Tech, Computer Science and Engineering (AI) - Geetanjali Institute of Technical Studies
2023 - 2027 · Afghanistan
Certifications
Azure AI Engineer Associate
Microsoft · 2026
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Skills (38)
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