About

Kapil Bohara is a highly skilled and driven Senior Machine Learning Engineer, specializing in Computer Vision, Deep Learning, and AI. With a Master's degree in Communication Systems, Kapil has a passion for creating innovative solutions that can have a positive impact on people's lives. He has extensive experience in implementing cutting-edge technology directly from research papers and developing custom models relevant to the task at hand. Kapil is well-versed in various frameworks such as TensorFlow, Keras, and PyTorch, and has significant knowledge about CNNs, LSTMs, RCNNs, Transformer, Random-Forest, K-Means, SVM, kNN, ResNets, U-Nets, AutoEncoders, Siamese Networks, Pattern Recognition, Attention Mechanism, Instance segmentation, Semantic segmentation, and YOLO detection models. He also has hands-on experience in NLP techniques for language modeling, sentiment analysis, chatbots, and response suggestions. Kapil has developed custom applications in Computer Vision for Image Classification, Image Segmentation, Object Detection, Object Tracking, OCR, NER, Information retrieval, Face Recognition, ANPR, 2D/3D Pose Estimation, and Gesture Recognition. He has worked with several organizations, including Drip Capital and Quovantis, where he developed a card grading system using DL and ML models to automate the entire process of grading. At MLAI Technologies, he worked on several projects, including OCR, Vehicle classification and counting, Automated bank cheques processing, Automated Document Reader, and Stem detection and measurement on Lidar data. Kapil is a quick learner and likes to keep abreast of the latest technologies in the domain of AI and apply them in his day-to-day development. He has a relevant experience of 7.86 years and is proficient in Python, ML, Computer Vision, AI, Deep Learning, P2P, Data Scientist, Research Scientist, Information Retrieval, Sentiment Analysis, SVM, Object detection, Keras, Object Detection, Image Segmentation, NLP, TensorFlow, and PyTorch.