Backend & AI/ML Engineer and Founder building production-ready software systems and real-world computer vision applications. Skilled in Node.js, Express.js, MongoDB, Python, TensorFlow, YOLOv8, and OpenCV. Experienced in architecting REST APIs, integrating ML inference pipelines into backend systems, and taking products from prototype to deployment.
Built a computer vision-based traffic signal optimization system using Python, OpenCV, and YOLOv8 to analyze real-time vehicle density and dynamically inform traffic signal timing. Managed the ML lifecycle from dataset preparation and model training through evaluation, real-time inference, and backend decision-service integration.
Developed an object detection system for identifying mosquitoes and potential breeding grounds using a custom-curated environmental dataset. Achieved approximately 82% detection accuracy and implemented image and video inference pipelines for real-time surveillance applications.
Built a student-focused software marketplace using React.js, Tailwind CSS, Node.js, Express.js, and MongoDB. Scaled the platform to host 70+ verified software projects with source code, documentation, dependency guides, and setup instructions.
Architected an offline-first Windows point-of-sale system for retail environments with unreliable network connectivity. Designed local transaction persistence and inventory workflows to maintain business operations without continuous network availability.