I build AI-powered mobile applications and integrate computer vision models (like YOLOv8) into real-world laboratory workflows.
I am a passionate developer with a deep interest in exploring new technologies. I thoroughly enjoy working with Python, AI/ML, Robotics, and creating modern, high-performance websites. As an MCA student at LJ University, I love building end-to-end applications that bridge the gap between AI algorithms and user-friendly software.
I am the sole developer of BactoScan AI, an automated colony counter, and have experience deploying deep learning models to the cloud, building ASP.NET full-stack sites, and developing IoT embedded systems.
AI-powered mobile app built to automate bacterial colony detection from Petri dishes using a custom TensorFlow model, featuring real-time segmented scans.
Full-stack web application connecting users with local service providers. Features dynamic booking, online payments, role authentication, and an integrated wallet.
An automated smart dustbin that segregates waste into wet, dry, and metal categories using moisture and metal sensors, lowering manual sorting overhead.
Cross-platform hotel booking mobile application featuring REST API integrations, dynamic room listings, JSON processing, and reservation tracking.
Business web portal for a global chemical manufacturer/exporter. Serves application directories and automates domestic and international sales inquiries.
Luxury hotel amenities manufacturer corporate website, showcasing product portfolios and capturing partner and export distribution leads.
Successfully developed and validated BactoScan AI automated bacterial colony counter under professional supervision and criteria.
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