Green leaf

Rahul T - Python developer
Member since:Oct 26, 2020
Profile last updated:Jun 17, 2021
Last activity:June 17, 2021, 1:45 p.m. UTC
United States of America
LD Interview score: 4.7 / 5
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Rahul T

I am enthusiastic about growing as a data scientist and software developer. I have experience working as an Application Developer as well as Machine Learning researcher.

Skills:    ·   ·   ·   ·   ·   ·   ·    ·    ·    ·    ·    ·    · 
Weekly Availability: 43 hours
Sun13 - 2405 - 16
Mon13 - 1705 - 09
Wed18 - 2410 - 16
Fri13 - 2405 - 16
Sat13 - 2405 - 16

Hourly Rate:$43.75
Experience:5+ yrs
Python:4+ yrs
Machine learning:3+ yrs
Git:3+ yrs
Jupyter:1 yrs
Data visualization:1 yrs
Data Science:1 yrs
Data Analytics:1 yrs
Engineer's Devices:

LD Talent Work History

Average response time:
12.0 hours
Avg count of messages / Day:
Average client satisfaction:



Villanova University     Differential Testing in Hyperdimensional Computing     Student     Contract
Jan 2020 - Present

  • Minimized energy consumption on image processing applications by ~80% under a quality constraint of 0-5% by finding an optimal combination of approximate settings using genetic algorithm on Python.
  • Designed algorithm to perform differential testing on Hyperdimensional computing, a new Machine Learning paradigm, for image processing application.
  • Used Git and GitHub for storing all the project files.

Skills used: Git, Python, Machine learning

Villanova University     COVID-Net     Student     Course Project
May 2020 - Aug 2020

  • Designed a small-sized neural network (Deep Learning) using SqueezeNet and CapsNet to diagnose COVID-19 from chest X-ray.
  • Preprocessed and augmented X-ray data, and trained model on Tensorflow using Python, achieving an accuracy of 95.0%.

Skills used: Tensorflow, Python, Deep learning

The Vanguard Group     Data Validation and Optimization     Software Engineer     Internship
May 2020 - Jul 2020

  • Validated on-prem fund data against the cloud data using Python for the analytics team to address any discrepancies.
  • Refactored and deployed Gurobi optimization models by connecting it with AWS (AWS EC2 and AWS S3) using Boto3.
  • Created REST APIs using Flask to extract the analytics data from an on-prem server and store them in AWS.
  • Developed intramural sports league web app using Angular, Nodejs, and Mongodb in collaboration with 8 interns.

Skills used: AWS S3, MongoDB, Nodejs, AWS EC2, Python

University of California Irvine     Modeling Signal Delay in UAV systems     Developer     Internship
Jun 2019 - Aug 2019

  • Designed a mutual information-based algorithm (Machine Learning) to select 10/100 best features in an unmanned aerial vehicle system.
  • Modeled a Recurrent Neural Network (Deep Learning) in Tensorflow using Python to predict signal delay using sequence-to-sequence based approach with an accuracy of ~80% for a highly skewed dataset.

Skills used: Deep learning, Tensorflow, Python, Machine learning

Villanova Physics Department     Image Modeling and Data Analytics     Student     Internship
Jan 2018 - Aug 2018

  • Created histogram of relative orientation between the magnetic field and the intensity gradient using data visualization library such as seaborn and matplotlib in Python/Jupyter Notebook.
  • Modeled a Red Blue Green image of Orion Nebula and plotted magnetic vectors over the image using Pandas and APLpy, a data science/data analytics library

Skills used: Data Analytics, Data Science, Jupyter, Data visualization, Python

Link to the github:


Villanova University    BS  (Computer Science)
Aug 2017 - May 2021


Deep Learning    Villanova University
Jan 2020 - May 2020
Skills learnt: Deep learning, Python, Machine learning
Platform Based Computing    Villanova University
Aug 2019 - Dec 2019
Skills learnt: React, Nodejs, Git, PHP
Software Engineering    Villanova University
Jan 2020 - May 2020
Skills learnt: Python, Java