top of page
DSC04039_edited.jpg

MOHIT ARVIND KHAKHARIA

Machine Learning and Robotics Engineer

1517446436448.jpeg

Mohit Arvind Khakharia

Good with two out

of three things:

| Machine Learning

| Robotics

| Terraforming Mars

  • github-11-64
  • Instagram
  • Twitter
  • White LinkedIn Icon

About

A Machine Learning and robotics engineer with over a decade of experience. An end-to-end software development lifecycle expertise, starting with requirements gathering & development to deployment & maintenance. Also, a startup founder with executive experience for around two years.

#DeepLearning #MachineLearning #AutonomousVechicles #TensorFlow #Keras #ROS2 #AutoEncoders

About

Education

University at Buffalo, The State University of NewYork
Class of 2018

SSN College of Engineering, Anna University, India
Calss of 2013

Experience

Unity Technologies

Senior Machine Learning Engineer(2021 - 2023)

Ford Motor Company

Machine Learning Consultant(2021)

Buffalo Automation

Machine Learning Intern (2017-18)

Machine Learning Engineer (2018-19)

Vice President, Software (2019-21)

Sirius Computer Solutions

(Acquired by CDW Corporation)

Software Developer (2013-16)

Education Experience

Executive Roles

  • CEO of Event horizon Labs Incorporated, Canada: A Machine Learning and Robotics Consulting Startup

  • CEO of Dark Matter Halo Incorporated, Canada: A Real Estate holding company owning and managing properties in Canada.

  • Advisor in The Millron Group, Canada.

  • Chief Technical Advisor and shareholder in The Millron Marine.

  • Shareholder and Ex-VP Software in The Buffalo Automation Group.

Education Experience

Frameworks

  • ROS2

  • Keras

  • TensorFlow 2.x

  • TensorFlow JS

  • Flutter

  • Flask

  • Open CV

  • Numpy

  • Scikit

  • Pandas

  • NoSQL 

  • GCP - BigQuery

  • GCP - Vertex AI

  • GCP - Cloud Run

  • PIL

  • SciPy

  • PyTorch

  • Pandas

  • Async IO

  • Websockets

  • Node JS

Areas of Interest

  • Machine Learning

  • Robotics

  • Autonomous Vehicles

  • E-Commerce

  • Deep Learning

  • Point Cloud Processing

  • Computer Vision

  • Natural Language Processing(NLP)

  • Generative Adversarial Networks(GANs)

  • Auto Encoders

  • WebRTC

  • Software Project Management

Languages

  • Python3.x

  • Javascript

  • C++

  • Java

  • Golang

  • Cadence

Skills

Projects

  • Unity Technologies - Machine Learning Engineer [2021 - 2023]

    • Training computer vision models with synthetic data generated using Unity's Perception SDK.

    • Photogrammetry

  • Ford Motors - Machine Learning Engineer / Solution Architect

    • Architecting end-to-end ML pipeline for FIR camera based detections of vulnerable road users and ​ large animals.

  • Buffalo Automation - VP Software | Machine Learning Engineer [2017-2021]

    • Architected and led engineering teams for implementation of perception, estimation, planning, and actuation algorithms for autonomous maritime vessels.

    • Led lidar and radar teams to implement global cost map population in ROS2 to aid path-planning algorithms like A* and RRT*(Rapidly-exploring random trees).

    • Implemented Neural Networks for real-time offline image recognition and object classification using quantized CNNs on TPUs.

    • Designed and implemented Neural Networks for obtaining the depth of objects from stereoscopic images for aiding a self-navigating maritime system.

    • Designed and implemented Neural Networks to differentiate water from the sky, land, and non-navigable objects using panoptic segmentation.

    • Architected solutions and led offshore teams to implement SLAM algorithms like Cartographer and SLAM Toolbox for outdoor environments and architected their implementation on edge devices.

    • Sensors used: Velodyne, Ouster, Quanergy, Livox, Furuno, and Lowrance.​
       

  • University at Buffalo, New York
    Research Assistant - Data Science Engineer [2016-2017]

    • Worked for the research experiment called, “Customizability Project”. The experiment involved showing users curated news articles in a pseudorandomized order and performing concentrated analytics on the user’s behavior to study the Bayesian prior in an individual's political attitude and beliefs.
       

  • Sirius Computer Solutions (Acquired by CDW Corporation) [2017-2021]

    • Project Lead for Developing E-Commerce web application for Mattel Inc. which includes E-Commerce applications for Fisher Price, Barbie and Hot Wheels.

    • Maintained and performed enhancements on on Tommy Hilfiger's and Calvin Klein's E-Commerce web portals.

    • Integrated IBM Watson cognitive computing services like, sentiment analysis, personality insights service, face detection to existing projects.

    • 1/6 Developers of an IBM WebSphere E-Commerce application for SpeedoUSA(https://speedousa.com/

    • Implemented a reporting cum auditing solution for Lloyds Bank, UK using IBM WebSphere Experience Factory. 

Projects
bottom of page