🔭 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 anemail!

👉🏼Follow me onLinkedIn orNeuralNets to stay updated with my AI primers and papers.

🧠 I currently head aGenerative AIR&D team of Scientists and Managers atAWS. Previously, I ledSpeaker Understanding and Personalization atAmazon Alexa AI.

⌛️ Prior to Amazon, I was part of theMachine Intelligence Neural Design (MIND) team atApple, 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 ofApple's M1 chip, which involved developing models for estimating performance of future Macs years in advance. Before Apple, I spent a couple of years atNvidia andQualcomm working on GPUs and ML Accelerators. I am a recipient of theEB-1 "Einstein Visa" (conferred by the US Government for extraordinary ability and acclaim in a specialized field).

🌱 I pursued my graduate studies part-time inComputer Science with a specialization inArtificial Intelligence fromStanford University.

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

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

📝 As a Research Fellow at universities around the US and India, I advise AI research projects and have published in leading venues such as ACL, EMNLP (Outstanding Paper Award '23), AAAI, EACL, ECIR, ECML, WSDM, ICASSP, etc. Our work has been featured inThe Washington Post,Wikipedia,New Scientist,Analytics India Magazine,YourStory, etc.

🏃🏻‍♂️ Outside of work, I like hiking, gardening, skiing, and working out.

🧑🏻‍💻aman.info

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

🌎neuralnets.ai, a one-stop shop for AI learning resources.

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1. iSeeBetteriSeeBetterPublic

   iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computat…

   C++ 363 68

2. FRVSR-GANFRVSR-GANPublic

   A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs

   Python 63 13

3. MDVCMDVCPublic

   Forked fromv-iashin/MDVC

   PyTorch implementation of Multi-modal Dense Video Captioning (CVPR 2020 Workshops)

   Python 2

4. 100-nlp-papers100-nlp-papersPublic

   Forked frommhagiwara/100-nlp-papers

   100 Must-Read NLP Papers

   46 22

5. sotawhatsotawhatPublic

   Forked fromchiphuyen/sotawhat

   Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.

   Python 5 1

6. LeetCode-SolutionsLeetCode-SolutionsPublic

   Forked fromkamyu104/LeetCode-Solutions

   (Weekly Update) Python / Modern C++ Solutions of All 1643 LeetCode Problems

   C++ 12 16