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Sushrut A. - , Django, Docker

My name is Sushrut A. and I have over 5 years years of experience in the tech industry. I specialize in the following technologies: Computer Vision, Python, TensorFlow, Flask, DevOps, etc.. I hold a degree in Master of Science (MS), Bachelor of Engineering (BEng). Some of the notable projects I’ve worked on include: Damage Detection, A machine vision product, Pytorch Project, nsvision, Backend Developer. I am based in Mumbai, India. I've successfully completed 5 projects while developing at Softaims.

I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.

I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.

My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.

Main technologies

  • 5 years

  • Computer Vision

    1 Year

  • Python

    4 Years

  • TensorFlow

    3 Years

Additional skills

Direct hire

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Experience Highlights

Damage Detection

This was a Minimum Viable Product built using Instance Segmentation. Frontend was built on React Web framework. Backend developed using FastAPI and database on PostgreSQL. We used Tensorflow Keras for deep learning and used Mask RCNN for Instance Segmentation to mask the vehicle damage output. Before passing the image to the main module our damage detector engine would do some quality control to ensure that the vehicle image is authentic and used some additional Third Party APIs to fetch the vehicle details from their database which would be helpful in estimating the damage claim cost.

A machine vision product

This is a handheld device which takes feed from webcam deployed inside a robust machine as you can see in the picture, clips taken are then being passed on to a remote device Jetson Nano. This device is much more robust than rasbperry pi and uses gpu. The device is configured with deep learning libraries. For this project I have used Tensorflow, OpenCV and Tiny Yolo v2. Model was converted into tflite to reduce latency.

Pytorch Project

Execute a Github code based on pytorch and nlp event prediction.

nsvision

nsvision is a python library that contains a set of tools required for image processing and data augmentation. It provides utilities for structuring image data.

Education

  • Anglia Ruskin University

    Master of Science (MS) in Computer science

    2023-01-01-2025-01-01

  • St. Vincent Pallotti College of Engineering and Technology

    Bachelor of Engineering (BEng) in Information Technology

    2015-01-01-2018-01-01

Languages

  • English
  • Hindi
  • Marathi (Marāṭhī)

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