3 years building production-grade CV systems.
- Object Detection & Multi-Object Tracking (YOLO, Faster R-CNN, DeepSORT)
- Image Segmentation (U-Net)
- Pose Estimation & Face Recognition (MediaPipe)
- OCR Pipelines (Custom CRNN + CTC Loss)
- Model Deployment: ONNX export across CV projects · Docker + GCP (MedBridge)
- 15+ production CV projects published
- 7+ hackathons (Sep 2025 – Feb 2026)
- 96.34% Dice Score — Lung Segmentation
- 99.6% Accuracy — Industrial Defect Detection
- 95.4% Accuracy — Yoga Pose Classification
PyTorch · OpenCV · YOLO · Faster R-CNN · U-Net · MediaPipe · DeepSORT · ONNX · Docker · GCP
Open to Computer Vision Intern roles 📍 Noida, India · Available immediately