Divye Prakash
Teaching Machines to Think While I Figure Things Out • Powered by caffeine
Chaibasa, Jharkhand
divye.prakash07@gmail.com
AI/ML guy who turns caffeine into questionable engineering decisions. ☕ Building with Computer Vision, IoT & AI. It worked yesterday. That's enough documentation for today. Still interested? Bold choice. The boring résumé stuff is waiting below ↓ Or just skip the lore and find me on Insta @whoisdivye 👀
Organiser
GDGoC VIT-AP
- Well I have kickstarted with managing Learn with communities event and planned a GSoC'27 Mentorship session in which I have 250+ RSVP till now.
Machine Learning Research Intern
HiFy
- Worked on machine learning and computer vision systems for real-world production use cases.
- Developed and improved ML pipelines, experimented with model architectures, and worked on deploying solutions to production.
- Collaborated with the engineering team to optimize models and integrate AI capabilities into the product.
Machine learning Intern
DRDO DYSL-AI
- Worked on machine learning and computer vision tasks as part of an AI-focused research team.
- Developed and experimented with ML models and data processing pipelines for real-world applications.
- Collaborated with researchers and engineers to test, evaluate, and improve model performance.
Auroral Labs - Health Monitoring Ecosystem
IoT-based healthcare platform for real-time monitoring of pet and human health using wearable sensors, edge devices, and AI-powered analysis.
Garuda - Supply Chain Optimization Engine
Built a logistics optimization system for route planning and delivery, achieving 78% simulated route efficiency and reducing delivery cost by 15.8%. Developed a scalable Google Cloud backend with a Flutter dashboard.
AgriMitra - Autonomous Agricultural Rover
Built an autonomous rover for soil analysis using NPK, pH and moisture sensing, with ML-based crop recommendation and computer vision-based plant disease detection.
ANTX - Visual Odometry Rover
Developed a Raspberry Pi rover using Lucas–Kanade optical flow for navigation without wheel odometry on uneven terrain, with real-time telemetry through a Flask server.
B.Tech in Computer Science Engineering
Vellore Institute of Technology - AP · 9.03
Attendee · Oct 24, 2026