Devashish Prasad

About me


Hi there


I have strong enthusiasm for Machine Learning, Deep Learning, and Computer Vision.


Pursuing Bachelor's of Engineering in Information Technology with an overall CGPA of 9.4 and have been consistently in the top 5 of my class.


Published two research papers both in the ML/DL domain, one of which published at the CVPR 2020 conference (the topmost computer science conference in the world).


One of my open-sourced Github repositories has 800+ stars and 200+ forks. Planning to build more such projects.


Completed five internships, all of which in the ML/DL domain. Consistently worked on solving challenging industry and business problems with ML/DL.


Loved participating in various competitions and hackathons. Reached three times at the Smart India Hackathon (India's largest Hackathon) grand finale. Worked on the ML/DL-based projects of ISRO, ITC ltd, and DRDO (India's esteemed organizations).


Recently started with Kaggle. Trying to gain experience and medals.


Spend my free time on and And write some blogs (feynman technique).

Work Experience

Machine Learning Intern

Pirimid Fintech

Nov 2020 – Mar 2021, Ahmedabad, Gujarat, India

  • Built robust Credit Scoring System using AI called Early Warning System (EWS) for banks.
  • EWS predicts various kinds of risk signals associated with a Loan throughout its life cycle.
  • EWS is trained on financial, news, social media, economic, industrial, historical, etc data.

Research and Development Intern


Jun 2020 – Aug 2020, Pune, Maharashtra, India

  • Built Computer Vision-based Sports Analysis software for combat sports like boxing & fencing.
  • Built models for Pose estimation, Pose tracking, and Fine-grained Action recognition.
  • Deployed the project for the USA Olympics.

Research Assistant (Dr. R. B. Ingle)

VEM Tooling Group

Jul 2019 – May 2020, Pune, Maharashtra, India

  • Used Computer Vision-based techniques to extract 3D dimensions of objects.
  • Designed and developed a working prototype system.
  • Carried out the research that involved exploring and implementing various approaches.
  • Also developed a solution to reconstruct a 3D model from the given 2D images of an object.

Deep Learning Intern

AP Analytica

Oct 2019 – Jan 2020, Pune, Maharashtra, India

  • Built an Automatic Image-based Invoice Parsing System.
  • Used deep learning-based techniques to extract information from images of invoices.
  • Developed text recognition algorithms to extract various invoice fields from the invoice image.
  • Developed deep learning-based robust table detection and recognition algorithm.

Machine Learning Intern

Tribbinanis Software Solutions

Nov 2020 – Mar 2021, Ahmedabad, Gujarat, India

  • Real-time face recognition-based automatic attendance system.
  • Automatic License plate detection and recognition system
  • Benchmarked and tested various deep learning-based techniques.

Software Intern

Kneo Automation

Apr 2017 – Aug 2018, Pune Area, India

  • Designed Image processing and ML/DL-based solutions for the manufacturing industry.
  • Contributed to IoT, Full-stack development, and hybrid mobile application projects.
  • Designed web-based frontends for applications.


Pune Institute of Computer Technology

2018 – 2021, Pune, Maharashhtra, India

  • Published 2 international research papers
  • 2 Times Smart India Hackathon Finalist
  • Presented ideas at Google DevFest and Startup and Innovation cell
  • Served as Technical Head at PICT CSI Student Branch
  • College Football Team (Reliance Cup)

Government Polytechnic Pune

2015 – 2018, Pune, Maharashhtra, India

  • Smart India Hackathon Finalist
  • College badminton team (State level winner)
  • College Football team (Zone Runner Up)
  • Department Basketball team (Inter dept Runner Up)