Rohan Akut

Rohan Akut

Web Development Intern

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location of Rohan AkutMontreal, Quebec, Canada

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  • Timeline

  • About me

    Machine Learning Engineer at iCAD Dental | McGill Alum | Ex-Deloitte

  • Education

    • McGill University

      2021 - 2023
      Master of Science - MS ECE 3.6

      Working as a Master's Thesis student under Professor Jeremy Cooperstock in Shared Reality Lab. My main focus is to integrate the Computer Vision-based models to create a system that could help blind individuals in accessing internet graphics.Courses Taken:Statistical Computer VisionApplications of Reinforcement LearningApplications of Machine LearningHuman-Computer InteractionSpeech Commuincation

    • Maharashtra Institute of Technology

      2015 - 2019
      Bachelor of Engineering (BE) Electrical, Electronics and Communications Engineering 8.8/10
  • Experience

    • Sellezely

      Jun 2017 - Aug 2017
      Web Development Intern

      Worked with the Front-end team to develop UI using REACT.Js. The website aimed at creating a smooth interface to help the clients deliver a better experience and smooth delay-free rendering. the internship involved creating and optimising various functionalities.

    • Fitness Solutions

      Dec 2017 - Jan 2018
      Web Development Intern

      Developed and automated the entire backend process of the company. Created a website Using PHP,MySQL which focussed on maintaining monthwise employee-client records to automate the process of data management

    • Deloitte India (Offices of the US)

      Jan 2020 - Aug 2020
      Business Technology Analyst

      Worked in healthcare industry for the State of Louisiana to develop a Eligibility system that provides medical healthcare benefits to a population of over 5 million. The program use Spring, Hibernate and JAVA fundamentals

    • McGill University

      Sept 2021 - Aug 2023

      Worked as a Machine Learning Engineer in Shared Reality Labs, McGill University. My job currently entails deploying Deep Learning based models on the server and establishing communication between them. My written code handles thousands of requests on a daily basis and is responsible for serving more than 1000 customers daily. Graded and taught concepts to students for the classes of: ECSE 526 - Artificial Intelligence (Fall 2021)COMP 561 - Computational Biology Methods (Fall 2021)COMP 250 - Fundamentals of Computer Science(Fall 2022)

      • Machine Learning Engineer

        Aug 2020 - Aug 2023
      • Teaching Assistant

        Sept 2021 - Dec 2021
    • ICAD Dental AiCAD

      Apr 2022 - now

      Developing AI based algorithms that can automatically detect and design teeth for a patient Developing and managing team of 6 software engineers to develop technologies for integrating AI into digital dentistry Developing AI models to detect good bite and bad bite as well as developing Compute Vision models to extract features from teeth

      • Machine Learning Specialist

        Jan 2024 - now
      • Research And Development Manager

        Oct 2023 - Jan 2024
      • Machine Learning Researcher

        Apr 2022 - Oct 2023
  • Licenses & Certifications

  • Honors & Awards

    • Awarded to Rohan Akut
      KPIT SPRAKLE Semifinalists KPIT April 1, 2019 Qualified as top 100 among a pool of 10000+ applicants to be selected as a semi-finalist for kpit sparkle 2019
    • Awarded to Rohan Akut
      Finalist Accenture Innovation Challenge Accenture Oct 2018 Selected among the top 14 teams from a pool of 13000 applicants to present our idea in Bangalore in front of an expert panel. The selection rate for the competition was less than 0.1%. Our project was featured in yourstory-https://yourstory.com/2018/10/healthcare-innovator-aayush-wins-accenture-innovation-challenge/
    • Awarded to Rohan Akut
      Quarter Finalist of Texas Instrument Innovation Challenge 2016 Texas Instrument Jan 2017 Participated in TIIDC 2016 and got selected among 1500 teams for quarter finals.
    • Awarded to Rohan Akut
      Competitive Coding - Successfully solved 120+ problems on SPOJ and other platforms