Data enthusiast, AI/ML practitioner, and cloud computing explorer with hands-on experience in real-time edge AI deployment, full-stack development, and data analytics. Skilled in Python, SQL, C++, and JavaScript, with practical expertise in TensorFlow Lite, Scikit-learn, React, Django, and AWS/Azure/IBM Cloud. Passionate about building impactful solutions, delivering robust applications, and leveraging data to drive informed decisions. Published researcher with real-world project experience, continuously upskilling across emerging technologies.
- Published ML research: Developed Currency Detection for the Visually Impaired using MobileNetV2/TFLite on Raspberry Pi, achieving 98.35% accuracy on 3,000+ test images with sub-second end-to-end recognition and voice output.
- Deployed real-time AI/ML edge models on Raspberry Pi with robust performance under constrained hardware, demonstrating practical IoT/AI deployment skills.
- Built full-stack applications using Django/React, integrating SQL/PostgreSQL databases with 100+ concurrent users, scalable cloud deployment on AWS, Azure, and IBM Cloud.
- Developed AI Hand Gesture Recognition System, trained on 2,000+ custom images with ~95% recognition accuracy, enabling real-time gesture-controlled accessibility tools.
- Prototyped SupFoodie AI WhatsApp chatbot and Munch Maps food locator, supporting 500+ unique queries and 75+ eateries, optimizing personalized search under 1 second.
- Google Maps Local Guide Level 10 contributor with 82 million views, actively reviewing and mapping locations to improve user experience.
- Completed 50+ certifications in Python, Data Science, ML, Cloud Computing, and Web Development, demonstrating continuous upskilling and versatility across technologies.