About
Backend Developer with 1.5+ years building REST APIs and AI-powered features for a multi-tenant HRMS SaaS platform serving 500+ enterprise clients. Shipped 40+ production APIs across 6 modules using Node.js, Express.js, MongoDB, and Redis. Designed and launched a Claude-powered RAG chatbot that deflects 40% of employee support tickets, and cut API response times 60% through indexing and caching. Strong record of cross-functional delivery with product, QA, and frontend teams in Agile sprints.
Skills & Expertise (37)
Work Experience
Software Engineer (Backend)
Zimyo HRMS
Dec 2024 - May 2026
Architected and owned 20+ REST APIs in Node.js and Express.js for Advance HR (500+ enterprise customers), covering employee onboarding, offboarding, performance reviews, and recruitment (ATS) workflows. Shipped 20+ production features within a single release cycle using modular route handlers and async/await middleware, following MVC architecture and JSON-based API contracts. Designed and integrated JWT-based authentication and role-aware middleware across HR modules, standardizing request/response schemas with QA and Product teams and cutting integration cycle time by 25%. Owned 15+ Core HR (Leave & Attendance) endpoints — clock-in/out, roster management, and leave-request workflows — serving daily attendance across web and mobile clients. Resolved a recurring 9–10 AM outage where peak clock-in/out traffic crashed the attendance service, adding a Redis + Kafka ingestion layer that buffers punches and persists to MySQL asynchronously — ending peak-load downtime. Eliminated 83% of bugs in Advance HR (30 → 5) within one month through systematic regression testing and root-cause analysis. Diagnosed and resolved 50+ backend defects across Finance and Attendance modules, cutting the monthly bug count from 20 to 8 through root-cause analysis. Wrote SQL validation queries to reconcile attendance and payroll data across modules, surfacing data-integrity issues before each release. Streamlined Biometric Attendance endpoints relied on by 80% of Zimyo customers, slashing client support calls 67% — from 45/month to under 15. Built a Claude-powered RAG support chatbot over internal HR documentation, deflecting ~40% of routine employee support tickets. Led Claude Code adoption across the engineering team, cutting time-to-feature by 30–40% per sprint through automated scaffolding, intelligent refactoring, and iterative code review.
Education
B.Tech, Computer Science & Engineering - Dr. A.P.J. Abdul Kalam Technical University
2020 - 2024 · Afghanistan
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Citizen
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Open to Relocation
Skills (37)
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