Hello, I am Aqeel! ()

A husband, a father and a travel enthusiast. I am a Senior Machine Learning Engineer at NVIDIA working in the Autonomous Vehicle domain. A proud Yellow Jacket (Georgia Tech) with a Doctoral degree(#ToHellWithGeorgia) who likes to write about machine learning @Medium. If I were not an Engineer, I would have been an Architect. I am fascinated by skyscraper designs and like to build small-scale paper models of them. I love to travel. I have been to over 18 countries, 3 continents, and 25 US States.

Current/Past Affiliations

NVIDIA NVIDIA
Samsung Samsung
Georgia Tech Georgia Tech
SRC Semiconductor Research Corporation
Fulbright Fulbright
UET UET

Work Experience

  • Senior Machine Learning Engineer Autonomous Vehicles - NVIDIA Corporation

    Working towards improving perception DNNs for autonomous vehicles using computer vision and machine learning algorithms. My work includes using synthetic data and realistic augmentation techniques to address the shortcomings of various deep neural networks making the autonomous vehicle a reality. My responsibilities involve carrying out in-depth hands-on with machine learning, generating synthetic data using Omniverse Replicator, using CV for multi camera systems, training DNNs, and applying transfer learning techniques.

  • Machine Learning System Intern - Samsung Semiconductor Inc.

    Worked in the Advanced Logic Lab on a novel STT-MRAM based analog Processing-In-Memory modular DNN accelerator providing an end-to-end simulation framework that can be used to find a power-performance optimized solution for a given DNN topology. Results show a significant improvement in energy and latency when compared with a digital DNN accelerator.

  • Machine Learning Engineer - Aivsol

    Worked towards the development of ML algorithms for self-driving cars. Adapted and integrated state- of-the-art deep learning algorithm for accurate classification of pedestrians, cars, and traffic signs. Carried out experiments, trained models, analyzed and documented results to make recommendations regarding the choice of algorithms, implementations, and configurations.

Education & Research

Education

  • Ph.D. Electrical & Computer Engineering - Georgia Institute of Technology, Atlanta, GA
    Thesis: Enabling Edge Intelligence in Resource-constrained Autonomous Systems | Advisor: Dr. Arijit Raychowdhury
  • M.Sc. Electrical & Computer Engineering - Georgia Institute of Technology, Atlanta, GA
    Focus: Digital Signal Processing
  • B.Sc. Electrical Engineering - University of Engineering & Technology Lahore, Pakistan
    Dean’s Honor List | Gold Medalist

Research Area

Machine Learning, Reinforcement Learning, Computer Vision, Hardware-Algorithm Co-design, ML System Design, Autonomous Systems.