Anshay Agarwal

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The Expert Generalist
I have an interest and curiousity to learn and master skills in various disciplines. With the greed of knowledge and desire to understand the world to its depths, I voyage to grasp the abilities to conquer the world of Science and Technology. My focus hovers over Brain Computer Interfacing, Robotics, Computer Vision, Deep Learning, Neurotechnology, Medical Imaging and more.                                                       
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Work Experience

Qualcomm

Apr 2023 - present
Senior Lead Software Engineer
  • Flicker correction on GPU using openGL
  • Designing HDR flow for upcoming Premium Tier chips
  • End-to-end DL based HDR

    • Calpion

    Sep 2022 - Apr 2023
    Lead Software Engineer
  • Image segmentation of carotid and vertebral arteries in 3D volume of CT scan images
  • Designed Deep learning CNN models to predict mutations of amino acids in a protein chain
  • Refactored existing code to achieve 30-50% speedup on complete pipeline on AWS

    • Xern AI

    Aug 2018 - present
    Founder
    Xern comes from Xerneas meaning life. Xern AI, utilizes the state of the art AI to help improve the quality of life. With this vision, it was launched with developing Brain Computer Interfacing for elders to help them control robotic supports with their brain waves. It also embarked in making the entertainment content accessible around the world at the same time in the local languages.
  • Eevolve -- A 2048 Android game with flavour of Eevee and its evolutions developed in flutter.
  • BCBR -- An Android app developed in flutter for BCBR (Basic course in biomedical research) exam preparation.
  • Autodub -- Developing a software that can automatically dub a video in any language and perform lip syncing.
  • Brain Computer Interfacing -- Analyzed and classified brain EEG signals captured non-invasively from the scalp using g-tec EEG-cap to perform actions controlled by the brain signals. Signals were epoched and trained using a deep neural network.

    • GreyScaleAI

    Feb 2021 - Sep 2022
    Software Engineer
  • Lead a team of 8 Engineers in building advanced food inspection solution using computer vision on Xray images end to end from acquisition to UI
  • Collaborated with the CTO, VPs and Managers
  • Collaborated with test Engineers to design, implement and perform software tests
  • Designed and architect the software for handling and merging results from multiple cameras (xray, RGB)
  • Developed complete embedded UI – stacked at the heart of software pipeline running on the edge machine handling real time communication with hardware, software and user inputs
  • Delivered 50+ new features and bug fixes within a week for rapid delivery of product to customers like Nestle
  • Interviewed 20+ candidates including 4 who held 25+ years of experience

    • Canairy (High Alpha Innovation) Part-time

    Nov 2021 - Jan 2022
    Consultant
  • Implemented segmentation of cattle using FPN network with 0.96 IOU and obtained cattle measurements on RGB & LIDAR depth images communicating over ROS channels
  • Developed algo to recognize the incoming/presence/absence of cattle in RGB & depth images with opencv
  • Label images with CVAT

    • Nvidia

    July 2017 - July 2018
    System Software Engineer
  • Implemented features and bug fixes for Imaging Software stack for Tegra Camera for Jetson boards on Lens Shading, Cuda histogram, 3A algorithms, Bayer demosaicing
  • >Wrote and reviewed technical documentation
  • Reviewed peer code
  • Coordinated with customers across the globe to understand new feature requirements and deliver best fitting solution

    • DRDO 

    Aug 2013 - Jun 2015
    Scientist
  • Image processing and image improvement of night vision thermal cameras that could see up to 40kms in dark
  • Reduced the vignette artifacts occurring due to lens shading
  • Improved bore-sighting, noise and poor focus in the thermal images
  • Designed and developed Raspberry Pi based Thermal Imager controller for operating the gimble camera platform

    •  NDPL

    May 2011 - July 2011
    Intern
  • Worked on Operation and Maintenance of Grids and learned about towers, cables, SCADA panels, Smart grids and components of a grid

    • Education

    Specialization in Self Driving Cars

    2022- 2022
    University of Toronto

    This Specialization gives a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry; interaction with real data sets from an autonomous vehicle (AV)―all through hands-on projects using the open source simulator CARLA.

    Specialization in Entrepreneurship

    2021- 2022
    The Wharton School

    Wharton's Entrepreneurship Specialization covers the conception, design, organization, and management of new enterprises. This five-course series is designed to take one from opportunity identification through launch, growth, financing and profitability

    Specialization in Modern Robotics

    2020- 2022
    Northwestern University

    This Specialization provides a rigorous treatment of spatial motion and the dynamics of rigid bodies, employing representations from modern screw theory and the product of exponentials formula and to apply these tools to analysis, planning, and control of robot motion.

    Tensorflow Developer Professional Certificate

    2019 - 2020
    Deeplearning.ai

    A grounding to start with TensorFlow, detailing on understanding of loss functions, optimizers, convolutions, LSTM, etc.

    Specialization in DeepLearning

    2018 - 2019
    Deeplearning.ai

    Foundations of Deep Learning and understanding about Convolutional networks, RNNs, LSTM, etc

    Masters of Technology in Computer Technology

    July 2015 - Jul 2017
    IIT Delhi

    Dissertation: Thermal Video Stabilization, which stabilizes a video captured through night vision camera  

    Project on Brain Computer Interfacing which involved moving a cursor on the screen using Motor Imagery signals captured via EEG

    Bachelors of Technology in Electrical Engineering

    Jul 2009 - Jul 2013
    IIT Mandi

    Thesis: Automobile Collision Prevention System

    Founded Robotics Section of IIT and built 1st robot of IIT Mandi from scratch

    Member of Electronics Section

    Recipient of Merit Cum Means Scholarship

    Skill Set

    C++
    Python
    OPENCV
    DeepLearning
    Git
    Blender
    MATLAB
    ROS
    CMAKE
    Qt
    Kotlin (Android Studio)
    Arduino
    Coppeliasim (V-Rep)
    PostgreSQL
    OpenVibe
    KiCAD
    Unity

    Activities & Accomplishments

  • Organized and managed workshop on Mobile Autonomous Robotics at IIT Mandi
  • Workshop on Swarm Robotics at Thapar University
  • Organized multiple events at Cognizance 2009 at IIT Roorkee
  • GRE Score- 321/340 (170/170 in Quantitative)
  • IIT JEE Rank - 3547 (~0.4 million students)
  • GATE Rank - 423 (99.998 percentile) in Electronics and Communication
  • Among top 0.1% students of India in XII board exams (AISSCE) in Mathematics (100%) and Computer (99%)

    • Psychometrics

  • MBTI INTJ-T: The Architect, Analyst, Constant Improvement
  • ENNEAGRAM 6w5: "The Guardian = Loyalist wing Investigator"
  • VIA CHARACTER STRENGTHS: 1 Creativity, 2 Honesty, 3 Perspective, 4 Good Judgment, 5 Curiosity