Rahul Parundekar's Linkedin Analytics

I'm passionate about building Artificial Intelligence (A.I.) solutions for improving the Human Experience. Machine Learning, Deep Learning, and Artificial Intelligence Leadership: • Tech Leadership: Leading design and building of ML training and serving architectures, including on-device and in-cloud offerings. • Project Leadership: Leading projects with clear business objectives and leading teams to build A.I. solutions to achieve them. • Product Leadership: UX-focused rapid development and iteration of A.I. solutions with validation using Lean Startup method. • Other: Strategy & planning, thought leadership (blogs, talks, etc.), customer discussions, mentoring, innovation, hiring, etc. Machine Learning, Deep Learning, and Artificial Intelligence Individual Contribution: • Deep Learning: Computer Vision using CNNs, NLP using RNNs, Regression using ensemble methods, Keras. • Engineering: Docker, Microservices, Message Queues, CI/CD pipelines, Ambassador, Identity, etc. • Traditional Machine Learning: Supervised and unsupervised Learning, scikit-learn (Python), Data Science. • Assistant Technologies: Situation understanding, Proactiveness, Personalization / p13n, Conversational A.I. • GOFAI: Knowledge Representation and Reasoning, Semantic Web, Graph KBs, Predictive Inferences. • Research: Research Publications, Patents, UX, Prototyping, Problem Solving, Communication Papers & Patents: https://scholar.google.com/citations?user=mIIXgA4AAAAJ&hl=en A.I. Philosophy: As A.I. becomes more commonplace, providing increasing levels of automation, we need to build intelligent systems that work together with humans and elevate their roles to greater achievement.