With more than 3 years of AI/Machine Experience working on various products and , I have developed proficiency in end-to-end AI enabled software solutions and utilities. Adaptability to full-stack development, Tech-stack agnostic skills and knowledge of ML/DL algorithms are my biggest assets. My peers see me as Detail-oriented problem solver with good Business acumen, that helps me in Defining the problem statement/use-case aptly. My Technical skills along with my organisation and interpersonal skills aids in driving/consulting various projects while collaborating with other developers. Technically, I am proficient with various ML learning frameworks (nltk, Keras,Tensorflow, Pytorch,OpenCV, Sciket-learn), neural network architectures (CNN, RNN, LSTM, Autoencoder, BERT, GLOVE, Word2vec, Yolo3, FasterRCNN, SSD) and Back-end frameworks for API development (Django, Flask, Play frameworks). Architecture and Performance scaling for production grade solutions is what sets me apart. Some of the projects/application are as follows: ML-core for policy and claims prediction [Insurance], premium prediction, Automated Decision,Making system with explainable model,Auto-ml for Training with feedback loop,Consumer profiling for Insurance with focus on Social and credit scoring,Sentiment analysis, Context analysis, Denial Prediction in RCM cycle for Healthcare systems, Text Classification Engine My major interest areas are Fashion AI, e-commerce and Agri-Tech where AI can come handy to solve a lot of problems. eg. Product Discovery with Visual Intelligence, Personalised consumer experience etc. I am always interested to meet entrepreneurs, Developers and interesting folks for brain-storming, open-source contribution and workshops for students,so feel free to connect with me.