Devesh Tarasia
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Devesh Tarasia

Devesh Tarasia

Machine Learning Engineer

English, Hindi, Odia

Background


About

About

Machine Learning Engineer with interest in Computer Vision and Recommender Systems

Work Experience

Work Experience

  • Consulting Machine Learning EngineerIITD-AIA Foundation for Smart Manufacturing

    Sep, 2020 - Aug, 20211 year

    Worked under Prof. Sunil Jha on developing, machine learning model for predictive maintenance of machines

    • Image Segmentation Model to detect water and oil level in transparent

    • Intern Manager of 5 interns under the Summer at IAFSM internship program

    • Predictive Maintenance reduced repair cost of gear honing machine by 50%

  • Senior Software EngineerAndromeida Maritime Solutions

    Sep, 2020 - Aug, 20211 year

    Tasked with

    • Started the company

Projects Experience

Projects Experience

  • Project, Entity

    Jan, 2019 - Jan, 20212 years

    Description…

    • Won award at AIHacks 2016

Skills

Skills

  • Programming Languages

    Python

    Matlab

Education

Education

  • Electrical and Computer Engineering (Computer Vision and Machine Learning), Masters, Northeastern University

    Sep, 2021 - Jun, 2023

    Introduction to Machine Learning and Pattern Recognition

    Fundamentals of Computer Engineering

  • Electical and Electronics Engineering, Bachelors, Shiv Nadar University - Delhi NCR

    - May, 2019

    Graph Theory

    Dynamical Systems

    Embedded System

    Big Data

Awards

Awards

  • Award , Company

    Awarded on: Nov 01, 2014

    There is no spoon.

Volunteer Work

Volunteer Work

  • Evaluator, Asia-Pacific Broadcasting Union Robocon 2021

    Mar, 2021 - Apr, 2021

    Evaluation of all entries into Robocon and selecting the eligible entries to further rounds

  • Presenter for DD National Robocon, Asia-Pacific Broadcasting Union Robocon 2020

    Aug, 2020 - Oct, 2020

    Presenting the Final Round of selection for Indian team for ABU Robocon

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Publications

Publications

  • Joint optimization of production scheduling and group preventive maintenance planning in multi-machine systems , Annals of Operations Research (2021)

    Published on: Dec 01, 2021

    This paper addresses the joint optimization model of production scheduling, work-in-process (WIP) inventory control and group preventive maintenance (PM) planning in a multi-machine system with multi-components. The objective is to obtain optimum production sequence, PM intervals and grouping of components, which minimize the total expected cost per unit time of the system. A new meta-heuristic named Jaya algorithm and two popular algorithms viz. simulated annealing (SA) and particle swarm optimization (PSO) are applied to optimize the objective function

Interests

Interests

References

References

  • Jane Doe

    Reference…