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About

🔭 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.

Bio

🧠 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.

Personal Profile

🌎 aman.info

AI Portfolio

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

Connect

Aman Chadha's LinkedIn Aman Chadha's Google Scholar Aman Chadha's Twitter

GitHub Stats

Aman Chadha's Projects

100-days-of-ml-code icon 100-days-of-ml-code

A day to day plan for this challenge. Covers both theoritical and practical aspects

aman-ai icon aman-ai

iPython Notebooks for NumPy and Python Primers

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

command-line-interpreter icon command-line-interpreter

Unix Shell in C | Support for built-in commands, output redirection, parallel mode, batch mode, consecutive commands etc.

conv_arithmetic icon conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

coursera-deep-learning-specialization icon coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

cs131_release icon cs131_release

Released assignments for the Stanford's CS131 course on Computer Vision.

cs224n icon cs224n

Solutions to CS224n: Natural Language Processing with Deep Learning assignments.

data-science icon data-science

Collection of useful data science topics along with code and articles

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