I love building scalable systems and high-performance APIs! With hands-on experience in Python, Django, FastAPI, Node.js, Express.js, I also integrate AI using Retrieval-Augmented Generation (RAG), vector search, and prompt engineering to create smart, efficient systems.
While backend development is my core strength, I’ve also explored LLMs, full-stack development, and database optimization. I enjoy solving complex problems and bringing intelligent features to life.
Outside of work, I’m usually experimenting with AI tools, lifting weights, or exploring new tech. Let’s connect if you’re building something exciting! 🚀
Intelligent support system featuring AI-powered chatbot interaction, ticket management, and admin dashboard. Streamlines user support operations with RAG architecture.
Advanced content generation tool leveraging NLP models for context-aware text production. Optimized for marketing copy, blog articles, and creative writing.
A web app to search, add, and manage recipes with dynamic grocery checklists, Google OAuth authentication, and AI‑generated ingredient lists.
Optimized backend systems for a B2B retail platform, delivering Distribution as a Service to multiple brands. Developed scalable API endpoints for invoice allocation using Node.js, Express.js, and MySQL, reducing manual work by 40%. Integrated microservices and an asynchronous scheduler for PDF generation, boosting processing speed by 35%.
Engineered a credit app for students in a Y Combinator-funded startup, driving 30% MoM user growth. Built RESTful APIs in Python and Django for transactions, user accounts, and referrals, reducing API response time by 50%. Integrated third-party payment services like Razorpay, handling 50,000+ transactions. Developed a reward system with redeemable coins and vouchers, increasing user retention by 15%.
Maintained and scaled infrastructure supporting 100,000+ daily users. Automated multiple Python-based tasks, eliminating 70% of manual effort. Deployed microservices at scale using Kubernetes, improving system uptime to 99.9%. Contributed to DevOps processes across AWS and GCP, enabling seamless deployment of 100+ microservices.