About
Computer Science graduate and backend-focused software engineer with hands-on experience designing secure REST APIs, implementing authentication and encryption systems, and deploying containerized services. Strongest stack is TypeScript, Node.js, Express, and PostgreSQL/SQL, with backends built using Prisma, Docker, JWT, AES-256 encryption, RBAC, rate limiting, and audit logging across multiple independently developed projects. 2× National-Level Hackathon Finalist — iDEA 2.0 (Union Bank of India, 1,500+ teams) and the Odoo Hackathon national final round; published researcher, IJSREM 2026.
Skills & Expertise
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Work Experience
Software Engineer
CipherVault
Present - Present
Designed and implemented secure REST APIs in TypeScript and Node.js with JWT authentication, AES-256 encryption at rest, and role-based access control (RBAC) enforcing per-role permission boundaries for multi-tenant credential isolation. Built audit logging and rate limiting middleware from scratch, creating tamper-evident request trails across all API endpoints and preventing brute-force abuse without third-party dependencies. Containerized the backend and database with Docker and Docker Compose; authored full Swagger/OpenAPI documentation covering authentication flows, error schemas, and endpoint contracts. Engineered the PostgreSQL schema via Prisma ORM with namespace-level data isolation; wrote unit tests in Vitest covering core encryption round-trip correctness; developed iteratively over 150+ Git commits spanning feature additions, security hardening, and refactoring.
Software Engineer
Jurisynth AI
Present - Present
Architected and built the full-stack backend independently using FastAPI, implementing JWT authentication and TOTP MFA for secure multi-user session management across a legal AI platform processing real case corpora. Designed the PostgreSQL and Neo4j database schemas; integrated Redis caching to reduce repeated query overhead and implemented multi-user data isolation across all API layers. Developed the complete API integration layer connecting ML inference (XGBoost risk engine), graph traversal, and document retrieval pipelines into a unified, token-authorized REST surface.
Data Validation & Documentation
ARGUS-PRISM
Present - Present
Validated datasets, prepared seed data, and verified functional outputs across five detection engines (graph analysis, behavioral scoring, taint tracking, STR generation, threat mapping) for a real-time mule-account detection system targeting ₹36,014 Cr in annual bank fraud. Authored system documentation and verified outputs against RBI/FIU regulatory benchmarks; team selected as National-Level Finalist from 1,500+ teams across India.
Education
B.Tech in Computer Science & Engineering - PCET’s Nutan College of Engineering and Research
2023 - 2026 · Afghanistan
Diploma in Computer Science & Engineering - Dr. D.Y. Patil Pratishthan’s Y.B. Patil Polytechnic, Akurdi
2020 - 2023 · Afghanistan
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