I build intelligent software systems that move from prototype to real-world deployment.My work lies at the intersection of AI systems, scalable backend engineering, and production-ready machine learning. I’ve contributed to government technology platforms, adaptive learning systems, and applied AI projects focused on building reliable, usable systems , not just models.
- ALAS (Adaptive Learning & Assessment System): testing strategies, automation & performance profiling
- Scalable system optimization: caching, database sharding & horizontal scaling
- Samagra Shiksha (Govt initiative): data integration systems for education decision-making
- AI applications: YOLO-based Food Detector + NLP-powered guidance chatbot (Vidya)
- AI-powered applications and agent-based systems
- Full-stack platforms (React + Node.js / Flask)
- Open-source projects with real-world impact
- Distributed systems & scalable cloud deployments
- ML model evaluation and deployment pipelines
- Backend system design and performance optimization
- AI systems engineering and production ML workflows
- Cloud infrastructure for intelligent applications
- Security basics (networking & API security)
- Machine learning pipelines and applied AI
- Backend architecture & full-stack development
- Computer vision (YOLO) and NLP-based systems
- Hackathons & building strong project portfolios
- I enjoy blending creativity with technology — dancer + tech creator
