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🔭 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!


👨🏻‍💻 I'm part of the Machine Intelligence Neural Design (MIND) team at Apple, where I specialize in designing AI models for a wide range of applications including Computer Vision, Natural Language Processing, and Speech Recognition. Previously, I worked on architecting the performance of Apple's Mac lineup, developing models for estimating performance of future Macs years in advance, and driving debugs to narrow down and fix performance bottlenecks.

🌱 I'm currently pursuing 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.

Personal Profile


AI Portfolio

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


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

GitHub Stats


  1. iSeeBetter Public

    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++ 302 60

  2. iPerceive Public

    Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attent…

    Python 50 14

  3. FRVSR-GAN Public

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

    Python 39 9

  4. MDVC Public

    Forked from v-iashin/MDVC

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


  5. Forked from mhagiwara/100-nlp-papers

    100 Must-Read NLP Papers

    6 5

  6. sotawhat Public

    Forked from chiphuyen/sotawhat

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

    Python 2

61 contributions in the last year

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Contribution activity

May 2022

amanchadha has no activity yet for this period.

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