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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.


  1. 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++ 243 51

  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 Attent…

    Python 37 11

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

    Python 31 8

  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 339 362

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

    Jupyter Notebook 54 89

  6. Programming assignments and quizzes from all courses within the GANs specialization offered by

    Jupyter Notebook 84 79

287 contributions in the last year

Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Mon Wed Fri

Contribution activity

June 2021

Created 5 commits in 1 repository
Created 1 repository

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