Shahmustafa Mujawar

Data Science Freelancer

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$15.00

(per hour)

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I can draw insights from data using Dataiku data science studio.

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Description

Data Science professional having 6+ years of work experience.
  • As a machine learning Engineer I have worked on Computer Vision technology.
  • As an AI Consultant in banking and finance sector my role was to draw insights from client’s data using Dataiku data science studio. 
  • I have also developed PoC: The tedious process of replicating the physical control panel objects into HMI screen design GTD software has been automated by deploying the Faster-RCNN model.
I have designed and Implemented: 
  • Analyzing different deep learning networks for a good fit for word detection using supervisely framework 
  • Table Detection in Documents using Faster-RCNN on PyTorch
  • CNN Accelerator on PYNQ-Z1 SoC 
  • FPGA based CNN Architecture for MNIST dataset on Artix-7
  • Camera to VGA RTL Architecture on Sparten-3E
  • Implemented Face Recognition using OpenCV on Raspberry Pi
Languages: Python, System Verilog and Verilog HDL   Frameworks/Softwares: TensorFlow, PyTorch, OpenCV, Supervisely Docker, Xilinx Vivado, Altera, Cadence Virtuoso and ASIC Tool

Recent Projects

Experience

Machine Learning Engineer

  • October 1, 2022 - continue

Machine Learning Engineer on Computer Vision technology, developing classification model for waste management system.

AI Consultant

  • August 1, 2021 - September 1, 2022

Worked as AI Consultant on Banking and Finance sector to draw insights from client’s data using Dataiku data science studio.

Software Engineer - Machine Learning

  • July 1, 2019 - July 1, 2020

The job profile includes the research and development of machine learning algorithms for industrial automation: Human Machine Interface (HMI) GTD software and Train Integrated Management System (TIMS) of Mitsubishi Electric. Developed PoC: The tedious process of replicating the physical control panel objects into HMI screen design GTD software has been automated by deploying the Faster-RCNN model. Fault detection in TIMS by recognizing the patterns in the various analog and digital signals. CNN, FCN, and ResNet models are utilizing.

Software Engineer - Machine Learning

  • December 1, 2018 - July 1, 2019

The job profile includes the design and development of Intelligent Word Recognition (IWR) using computer vision technology. Designed and Implemented: Analyzing different deep learning networks for a good fit for word detection using supervisely framework. Table Detection in Documents using Faster-RCNN on PyTorch.

Educational Details

Master of Technology in VLSI System Design

  • M. S. Ramaiah University of Applied Sciences

Bachelor of Engineering in Electrical and Electronics

  • Visvesvaraya Technological University

My Skills

  • Python

  • Machine Learning

  • Docker

About Me

  • Gender

    Male

  • Freelancer Type

    Individual

  • English Level

    Fluent

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