amanchadha / coursera-natural-language-processing-specialization Goto Github PK

🔭 I'm passionate about Artificial Intelligence, Deep Learning, Machine Learning, Computer Vision and Natural Language Processing. I have previously worked in the fields of Computer Architecture, Signal and Image Processing, Biometrics and Pattern Recognition.

💭 My personal mission is to build AI-based solutions that solve a high-impact problem for people around the globe and simplify everyday living.

👯 I'm interested in mentoring, coaching and collaborating with fellow enthusiasts in the field of AI. If you have an idea related to my areas of interest, feel free to shoot me an email!

👉🏼 Feel free to follow me on LinkedIn to stay updated with my latest AI learning resources.

🧠 I currently head a Generative AI R&D team for Amazon AWS. Previously, I led AI for Speaker Understanding and Personalization at Amazon Alexa.

⌛️ Prior to Amazon, I was part of the Machine Intelligence Neural Design (MIND) team at Apple, where I specialized in designing AI models for a wide range of applications including Natural Language Processing, Speech Recognition, and Computer Vision. Prior to that, I was one of the early architects of Apple's M1 chip, which involved developing models for estimating performance of future Macs years in advance. Before Apple, I spent a couple of years at Nvidia and Qualcomm working on GPUs and ML Accelerators. I am a recipient of the EB-1 "Einstein Visa" (conferred by the US Government for extraordinary ability and acclaim in a specialized field).

🌱 I pursued my graduate studies part-time in Computer Science with a specialization in Artificial Intelligence from Stanford University.

🎓 I received my Masters in Electrical and Computer Engineering with a specialization in Computer Architecture from the University of Wisconsin-Madison and graduated in 2014 with an outstanding graduate student award.

📚 I am a distinguished alumnus of the University of Mumbai, one of the largest universities in the world.

📝 As a Research Fellow at universities around the US and India, I advise research projects and publish in leading AI venues.

🏃🏻‍♂️ Outside of work, I like hiking, gardening, skiing, and staying fit.

🌎 aman.info

💼 aman.ai, which contains course notes and learning material for Artificial Intelligence and Deep Learning Stanford classes.