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Fullstack Engineer with 3+ years in MERN Stack & Cloud
High-impact Full Stack Developer with 2+ years of hands-on experience architecting and delivering enterprise-grade MERN stack applications from concept to production. Demonstrated expertise in building scalable distributed systems – engineered an LMS platform serving thousands of concurrent active users, developed a real-time IoT-powered vehicle fleet tracking system processing live GPS telemetry with near-instant latency, and integrated cutting-edge LLM APIs into consumer-facing AI applications. Consistently delivers measurable engineering outcomes: dramatic improvements in page load performance, accelerated CI/CD delivery pipelines, significant reductions in manual operational overhead, and airtight zero-breach security architectures leveraging enterprise RBAC and JWT. B.Tech CSE graduate with CGPA 8.2. Actively seeking remote full-stack or MERN stack engineering roles with immediate availability.
Chaibasa Engineering College
B.Tech · Computer Science & Engineering
August 1, 2021 – June 30, 2025
Ch+2 High School
Intermediate (PCM)
N/A – May 31, 2020
Scholiphi
Full Stack Developer
December 1, 2025 – Present
India
Remassis
Full Stack Developer
December 1, 2023 – November 30, 2025
India
Siteup
Full Stack Developer Intern
June 1, 2023 – November 30, 2023
Jamshedpur, Jharkhand, India
Blog Application
June 19, 2026 – Present
Architected and shipped a production-ready, full-featured blogging platform with complete CRUD operations, multi-role user management, and robust content moderation—stress-tested under significant concurrent user load with zero authentication breaches recorded throughout the entire QA lifecycle. Implemented a layered, defense-in-depth security architecture combining Firebase Auth (OAuth 2.0), stateless JWT session tokens, and Bcrypt.js password hashing—delivering enterprise-grade authentication patterns fully compliant with modern security standards and ready for production scale. Elevated content authoring UX with a rich-text WYSIWYG editor supporting drag-and-drop image uploads, advanced text formatting, code syntax highlighting, and threaded interactive comment systems with real-time notifications. Deployed on Render with auto-scaling infrastructure, environment-based configuration management, and zero-downtime release pipelines—enabling seamless rollouts and instant rollback capabilities at any time.
Expense Tracker AI
June 19, 2026 – Present
Engineered an AI-powered personal finance platform with deep OpenRouter LLM API integration, enabling natural language transaction input, intelligent expense categorization, and automated budget insights—dramatically reducing manual data-entry overhead compared to conventional finance tools. Implemented multi-provider authentication (Google, GitHub, Facebook, Email/Password) via Clerk with seamless session management; backed by Prisma ORM and Neon PostgreSQL for a fully type-safe, schema-driven data layer with zero runtime type errors in production. Designed interactive real-time analytics dashboards in Chart.js with dynamic filtering, date-range selectors, category breakdowns, and adaptive light/dark mode theming—giving users deep financial visibility at a glance. Deployed serverlessly on Vercel with edge function support, automatic preview deployments on every pull request, and zero infrastructure maintenance overhead—achieving exceptional uptime and sub-100ms cold start performance globally.
Real-Time IoT Vehicle Fleet Tracker
June 19, 2026 – Present
Designed and built a real-time fleet management system tracking 200+ active GPS-enabled vehicle devices, delivering live location telemetry with near-instant update latency via WebSockets (Socket.io)—enabling operations teams to monitor entire fleets from a single unified live dashboard. Integrated Google Maps API with custom route overlays, geofencing alerts, and historical journey playback—providing logistics teams actionable insights to optimize routing, reduce vehicle idle time, and cut operational costs. Leveraged MongoDB Time-Series collections for high-throughput GPS data ingestion and long-term analytics storage; engineered efficient aggregation pipelines to power historical trend reports and fleet utilization dashboards. Deployed on AWS EC2 with NGINX reverse proxy, SSL termination, and horizontal scaling configuration—ensuring system reliability and consistent high performance under peak concurrent fleet activity.
Cultural Fit Analysis
The candidate's project portfolio demonstrates a diverse range of applications, from blogging platforms and finance trackers to IoT systems, indicating adaptability and a broad interest in different problem domains. Their experience across multiple companies (Scholiphi, Remassis, Siteup) and project types suggests a willingness to learn and apply skills in varied contexts. The focus on 'enterprise-grade' solutions and 'production-ready' deployments aligns with a culture that values robustness and scalability. The candidate's continuous engagement with modern technologies like LLM APIs and serverless deployments shows a proactive approach to staying current with industry trends, which is a good cultural fit for innovative teams.
Soft Skills & Operational Fit
The candidate's project descriptions highlight strong problem-solving skills, particularly in architecting complex systems and optimizing performance. Their experience as a 'Sole remote engineer' at Remassis demonstrates significant autonomy, self-management, and accountability, which are crucial for remote roles. The emphasis on 'end-to-end feature ownership' and 'collaborating cross-functionally' indicates good teamwork and communication skills within an Agile framework. The candidate's ability to deliver 'measurable engineering outcomes' suggests a results-oriented approach.