Machine Learning Engineer |Computer Vision Engineer
• Proficient in Deep Learning ,Computer Vision and Reinforcement learning
• Familiar with machine learning libraries like TensorFlow , Pytorch , OpenAIGym etc.
• Adept In OpenCV worked on projects like Face-Detection , Facial Recognition, Face Landmark detection and Emotion Detection
• Experienced in optimizing machine learning models using callbacks , early-stopping , validation , image pre-processing.
• Proficient in creating dense models ,CNN models for supervised and unsupervised learning tasks ranging from classification , regression to clustering tasks
• Created models for object detection(using Transfer learning from popular models like Resnet-30 ,Alexnet etc)
• Made models for stock prediction ,Music Generation, QR code Decoding ,Text generation, Credit Card Fraud detection
• Familiar with concepts like SLAM(Simultaneous Location and Mapping) and Semantic Segmentation for localisation in tasks in Self Driving Cars
• Familiar with the concepts of Transfer learning in computer vision and used famous models such as YOLO and SSD for object detection tasks
• Worked on interesting projects such as Human-Pose Estimation , Vehicle detection , Pedestrian Detection
• Proficient in creating models for Lane Detection (for Self-Driving Cars) and algorithms like VARI (for crop Analysis)
• Worked on Deploying models on Edge devices using OpenVino Toolkit and TensorFlow-Lite
You can check all my projects from the bellow repo:
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and my Linkedin from here
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You can check my medium blogs from here
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