Key accomplishments

 

  • Lead the computer vision project to analyze X-ray tire images, detecting anomalies from unstructured data, resulting in $20+M annual savings.
  • Developed and fine-tuned advanced computer vision models for automated fraud detection, integrating these models into the production environment to save $25M.
  • Engineered a search engine framework incorporating MongoDB, Elasticsearch, Node.js, and Angular, showcasing expertise in full-stack development and ML system integration.

 

Role 1
Machine learning engineer
Role 2
Data scientist
Test Score
AI, Machine learning, Data Science
73%
Healthcare
part-time-16-hours-per-weekfull-time 40-hours-per-week
Any
Lead
United States
Early Traction
NA
Remote
Willing to work for equity + rewardsWilling to work for equity and paid projectsWilling to work for stock and paid projects

Tags

AITechFintechDroneTech

Education

  • August 2 2013 - May 9 2018
    University of Memphis

    Computational Geophysics

    1. Developed C++ based based thermo-tectonic simulation framework 1. Used shallow neural network to predict earthquake rupture physics and explain the root cause. 2. Participated in developing open-source geodynamic codes DES3D written in C++ and parallelized using OpenMP.

Experience

Expertise

Python
80
Deep learning
100
Computer vision
80
Neural network
80
Project management
80
Machine learning
90
Data Science
80
Cloud computing, AWS, Azure, GC
100
Git
100

Languages

English,
Bengali

Honors & awards

Go Back
 
Required 'Candidate' login to applying this job. Click here to logout And try again
 
 

Answers

 

Account Activation

Before you can login, you must activate your account with the code sent to your email address. If you did not receive this email, please check your junk/spam folder. Click here to resend the activation email. If you entered an incorrect email address, you will need to re-register with the correct email address.