Full Stack Engineer with less than a year in MERN Stack & High-Performance Backend
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Full-Stack Engineer specializing in the MERN stack, TypeScript, and high-performance backend architecture. Strong DSA foundation (250+ LeetCode solved) with a proven ability to build and deploy scalable, secure systems end-to-end. Architected a multi-role platform optimized with Redis caching, validating performance under heavy load (951 req/sec, 29ms avg response time via K6). Adept at leveraging modern AI engineering workflows (Claude, Gemini, ChatGPT, DeepSeek) to drastically accelerate development speed and code quality.
Sant Singaji Institute of Science and Management
Bachelor of Computer Applications (BCA)
August 1, 2023 – June 30, 2026
Dev Hire
October 1, 2025 – June 1, 2026
Built a job portal from scratch supporting three roles Candidate, Recruiter, and Admin with separate dashboards, protected routes, and role-scoped REST API access; deployed backend on Render and frontend on Vercel. Developed 20+ REST APIs handling job posting, candidate applications, recruiter workflows, and admin controls; application status flows from applied through reviewed, interview, and selected or rejected. Added Redis caching on job search and listing endpoints to reduce repeated database queries; implemented rate limiting on authentication routes to block brute-force attempts. Ran K6 load tests with 1000 concurrent users — 29,500 requests processed in 30 seconds at 951 req/sec, 29ms average response time, p95 under 112ms, 98%+ request success rate. Secured auth flow using JWT with bcrypt password hashing, crypto-token-based forgot/reset password, and Nodemailer for transactional email notifications on application status changes. Handled file uploads for resumes and profile pictures via Cloudinary and Multer; designed MongoDB schema across Users, Jobs, and Applications collections with ref-based relationships and pre-save hooks.
View ProjectProperty Rental Management System
January 1, 2024 – December 31, 2024
Console-based multi-role app with three user types Tenant, Landlord, and Maintenance Staff - each with separate login, access control, and role-specific workflows built entirely in Java with raw JDBC. Covered property CRUD, rent tracking, in-app messaging across roles, and task assignment; designed normalized MySQL schema across 6+ tables with primary and foreign key constraints.
View ProjectLeetCode
LeetCode
June 1, 2026 – Present
Striver's A2Z DSA Sheet
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project-based learning approach and dedication to DSA suggest a strong work ethic and a desire for continuous improvement, which aligns well with a growth-oriented culture. The diversity in projects (job portal, property management) and technologies (MERN, Java/JDBC) indicates adaptability and a broad interest in different problem domains. The explicit mention of using AI tools for development hints at a forward-thinking and efficient mindset.
Soft Skills & Operational Fit
The candidate demonstrates a proactive and self-driven approach to learning and project development, as evidenced by their focus on building real projects and solving DSA problems outside of coursework. Their detailed project descriptions suggest good communication of technical concepts. The use of AI engineering workflows (Claude, Gemini, ChatGPT, DeepSeek) indicates an openness to leveraging modern tools for efficiency.