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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 real high-impact problem for people around the world and simplifies day-to-day living.

👯 I am interested in mentoring, coaching and collaborating with people in the field of AI. If you have an idea related to my areas of interest and are interested in getting my thoughts or collaborating, feel free to shoot me an email!


👨🏻‍💻 I am a Lead Engineer on the Mac Systems Performance and Architecture team at Apple, where I specialize in architecting the performance of future Mac offerings, developing models for estimating performance of Mac sytems years in advance, and driving performance debugs in the HW/SW stack to narrow down and fix bottlenecks.

🌱 I am currently pursuing my graduate studies in Computer Science with a specialization in Artificial Intelligence from Stanford University.

🎓 I pursued 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 received my Bachelors in Electronics and Telecommunication Engineering from the University of Mumbai in 2012.

Personal Profile


AI Portfolio

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


  1. iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs

    Python 88 19

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

    Python 5

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

    Python 20 3

  4. Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by (i) Neural Networks and Deep Learning; (ii) Improving Deep N…

    Jupyter Notebook 18 29

  5. Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by

    Jupyter Notebook 3 3

  6. Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by

    Jupyter Notebook 10 11

210 contributions in the last year

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