I'm a pre-final year Electronics and Computer Engineering undergrad specializing in Computer Vision, Machine Learning, and applied AI systems. I build end-to-end intelligence pipelines—ranging from real-time deep learning recognition models to autonomous robotic navigation nodes. I focus on developing production-ready inference architectures with measurable real-world impact.
Programming Languages
| Python | C++ | C | Java | TypeScript | JavaScript | HTML | CSS |
AI & Robotics Frameworks
| PyTorch | TensorFlow | OpenCV | ROS 2 |
Libraries: YOLOv8, MediaPipe, NumPy, Pandas, CVZone
Full-Stack & Cloud
| React | Node.js | Express | SQLite | Flask |
Embedded Systems & Edge Hardware
| Arduino | Raspberry Pi | Linux |
Systems & Development Tools
| VS Code | MATLAB | GitHub | Git | Docker |
| Project | Focus | Impact & Metrics |
|---|---|---|
| Indoor Autonomous Mobile Robot | ROS 2, LiDAR | Developed a ROS 2 Jazzy reactive navigation node processing LiDAR /scan data at 10 Hz. Enabled real-time obstacle evasion, reducing indoor collision events by ~80%. |
| SPARC System | OpenCV, Deep Learning | Engineered a real-time ISL/ASL recognition pipeline using MediaPipe and TF/Keras. Achieved 92.4% accuracy at 15–20 FPS with end-to-end latency under 180 ms. |
| TRIDENT Ecosystem | IoT, Robotics, Orchestrator | Built an edge-based disaster rescue platform streaming telemetry with >95% uptime. Automated probabilistic priority scoring, reducing manual triage time by 40%. |
| DrishtiGuide | IoT Edge AI, YOLOv8 | Deployed a multimodal navigation pipeline integrating YOLOv8 and ESP8266, achieving sub-120 ms inference latency and reducing missed-obstacle events by ~60%. |
| NeuroBridge AI | Full-Stack ML, Telehealth | Engineered a continuous remote care ecosystem with 468 facial landmarks tracking via MediaPipe. Built interactive clinical dashboards supported by Node 22 & React 19. |
- AI & Robotics Intern @ STEMTEC: Developed ROS 2 Jazzy navigation nodes processing LiDAR data at 10 Hz, reducing collision events by ~80% during indoor testing.
- National Finalist @ SIH 2025: Advanced to the Top 5 out of 500 teams nationally.
- Top Honors: Winner of Innovate X Impact (V-NEST) and 3rd Place out of 50+ teams at Technovation 2025 (
₹15k). - Leadership: Deputy Operations Lead for Team Namo Nirvana, managing a 100+ member team and boosting execution efficiency by 35%.