About
Bangalore-based Full Stack Developer with 2 years of experience building scalable, cloud-based applications with a strong foundation in backend engineering and frontend architecture. I specialize in developing robust RESTful APIs using Node.js, Express, and PostgreSQL, and have hands-on experience integrating cloud services like AWS Lambda, S3, RDS, and EC2. On the frontend, I craft responsive and accessible user interfaces using React, TypeScript, and TailwindCSS.
I’ve contributed to SaaS platforms across waste management, EdTech, and e-commerce, focusing on performance, reliability, and clean code. From building real-time interview bots with AI/ML APIs like OpenAI Whisper to optimizing backend workflows with Redis and Google Maps APIs, I’m passionate about leveraging modern tools to solve real-world problems and deliver seamless user experiences.
When I’m not coding, I stay up to date with the latest technology trends, experiment with new tools, attend tech meetups, or enjoy reading, cooking, and watching drama or action movies.
Experience
Projects
Waste Management Platform - Youcan
Built a comprehensive waste management platform using Node.js and PostgreSQL, supporting multi-country operations. Integrated PayPal and country-specific payment gateways like Chapa, along with wallet features. Developed waste collection, user and collector management, real-time notifications, and analytics dashboards for revenue and operational insights.
AI based Interview Platform - TalentBerry
Developed a Robust Mock Interview platform for candidates to take interview with help of AI and gets hospitals. Developed the candidate onboarding, conversation with AI role play and report generation tool
Wedding Planner E-commerce Website
Developed backend services with Next.js and Zoho One for streamlined inventory management and order processing. Integrated Razorpay for secure payments and leveraged DynamoDB to store Zoho tokens, ratings, and reviews, optimizing API efficiency and platform scalability.
Ed-Tech Platform - Lifedemy
Built analytics APIs for admin reporting. This involved creating complex queries across multiple tables to analyze engagement patterns for approximately 100,000 users on a course-by-episode basis.