Building scalable APIs and production-ready systems with MERN. Expanding into Python, ML, and cloud infrastructure.
BCA Graduate • MG University, Kottayam
Full-Stack Developer (MERN) • Backend & Systems Learner
Open to collaborations, internships, freelance work, and opportunities.
I build scalable APIs and production-ready systems with MERN/MEAN stack, focusing on backend architecture and data integrity. My engineering philosophy prioritizes clean abstractions over clever hacks. Currently expanding into Python, ML, and cloud infrastructure to bridge full-stack development with intelligent systems.
- Focus: Scalable API architecture and data integrity.
- Tech Stack: Node.js, Express, MongoDB (MERN), PHP, MySQL, PostgreSQL.
- Key Builds:
- Designed secure REST APIs with JWT auth and RBAC for MERN applications.
- Engineered normalized MySQL schemas for complex PHP data relationships.
- Currently architecting PostgreSQL implementations to optimize for ACID compliance and complex joins.
- Focus: Responsive, maintainable component systems.
- Tech Stack: React, Context API, Modern CSS, i18n.
- Key Builds:
- Developed reusable component libraries to standardize UI across projects.
- Implemented mobile-first responsive layouts with multi-language (i18n) support.
- Optimized rendering performance through efficient state management and lazy loading.
- Focus: Bridging full-stack logic with data automation and computer vision.
- Tech Stack: Python, OpenCV, TensorFlow, Docker.
- Current Work:
- Building custom data pipelines to automate image preprocessing and vectorization.
- Developing new prototypes to integrate ML inference into web workflows.
- Experimenting with containerized deployment for reproducible AI environments.
Problem: Agricultural decisions often require data from multiple disconnected sources, making timely crop planning and monitoring difficult.
What I Built: A full-stack agricultural intelligence platform that combines weather forecasts, satellite vegetation data (NDVI), and market prices into a unified system with role-based workflows and real-time expert consultations.
Tech Stack: React, Node.js, Express.js, MongoDB, Socket.io, Firebase Auth.
Impact: Unified disparate data streams (OpenMeteo, Kaegro NDVI, Mandi prices) into a single decision-support engine, enabling rule-based crop recommendations, real-time pest alerts, and a secure marketplace for farmers, experts, and buyers.
Links: • GitHub
Problem: Remote teams often manage attendance, project tracking, and reporting across multiple disconnected tools.
What I Built: A self-hosted workforce management system with role-based access control, automated attendance processing, client portals, and dynamic reporting workflows.
Tech Stack: PHP, MySQL, JavaScript, Tailwind CSS, PHPMailer, Dompdf.
Impact: Streamlined team operations by automating attendance tracking, report generation, and client-facing project management processes.
Links: GitHub
- Frontend: React • JavaScript • Tailwind CSS
- Backend: Node.js • Express.js • PHP
- Databases: MongoDB • MySQL
- DevOps & Tools: Git • Docker
- Data & AI: Python • OpenCV • TensorFlow (Prototyping)
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- Participated in Hacktoberfest and contributed to open-source projects.
- Earned multiple community contribution badges through Holopin.
- Co-developed RemoteTeamPro as a team-based university project, collaborating on feature development, testing, and system integration.
- Building: Python data pipelines and PostgreSQL-based systems
- Learning: Docker, CI/CD, and ML inference patterns
- Goal: Cloud-native backend engineering with AI integration
- Open To: Full-time roles, internships, and collaborative projects
- Prefer async communication, clear documentation, and well-defined responsibilities.
- Enjoy building backend systems and full-stack applications through iterative development.
- Value clean, maintainable code and continuous learning through collaboration and feedback.
