class KalpeshBhoir:
role = "Computer Vision & Deep Learning Engineer"
location = "India"
expertise = [
"Real-Time Video Analysis & Object Detection",
"Convolutional Neural Networks (CNNs)",
"OpenCV & Image Processing Pipelines",
"Deep Learning Model Training & Optimization",
"Instance & Semantic Segmentation",
"Pose Estimation & Action Recognition",
"Edge Deployment (ONNX / TensorRT / OpenVINO)",
"Data Augmentation & Transfer Learning",
]
currently_working_on = [
"High-accuracy real-time detection pipelines",
"Optimizing CV models for edge/embedded devices",
"Exploring Vision Transformers (ViTs) & CLIP",
]
fun_fact = "I see the world one frame at a time — literally 🎥"- 🧠 Building real-time computer vision systems using OpenCV, YOLO, and PyTorch
- ⚡ Optimizing deep learning models for low-latency edge inference
- 🔬 Exploring Vision Transformers and multimodal vision-language models
- 🛠️ Developing robust video analytics pipelines for surveillance & automation use cases
"Every pixel tells a story. I just teach machines to read them."