Devashish Prasad



About me



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Hi there

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

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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.

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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).

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

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

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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).

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

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Spend my free time on stackoverflow.com and datascience.stackexchange.com. 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

OrbitShifters

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.



Education



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)