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Harshit S - Python developer
Member since:Nov 22, 2019
Profile last updated:Nov 26, 2020
Last activity:March 3, 2021, 4:03 p.m. UTC

Harshit S


I am a Machine learning and Data science, enthusiast. I like to solve problems related to computer vision and sequential models.

Skills:   Python  ·  Computer vision  ·  keras  ·  Machine learning  ·  Tensorflow  ·  MongoDB  ·  Natural language processing  ·  Deep learning  ·  Matplotlib  ·  Multithreaded Programming  ·  Pandas  ·  Data Analytics  ·  scikit-learn  ·  Flask  ·  GPU accelerators  ·  Nodejs  · 
Weekly Availability: 56 hours
Sun 05 - 13 21 - 05
Mon 05 - 13 21 - 05
Tues 05 - 13 21 - 05
Wed 05 - 13 21 - 05
Thurs 05 - 13 21 - 05
Fri 05 - 13 21 - 05
Sat 05 - 13 21 - 05

Partime Freelancer
Experience: 2 yrs
Python: 1 yrs
Computer vision: 1 yrs
keras: 1 yrs
Machine learning: 1 yrs
Engineer's Devices:

LD Talent Work History

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

Earned hours:
Worksession approval:
# Hires / # Interviews :
2 / 3
# Projects in last 2 weeks:
# Hours worked in last 2 weeks:
# Passion projects:


Indian Institute Of Technology, Jodhpur     AI Driven Estimation of COVID-19 Prognosis and Comorbidities using Multimodal Data     Student     Internship
Apr 2020 - Nov 2020

  • Custom coded the architecture, losses and preprocessing stages in python
  • Keras was used to build the deep learning model pipeline and training
  • Preprocessing required computer vision essentials and work on opencv

Skills used: Python, Computer vision, keras

Logicshift     Crops yield estimation and selection : Web Application     Developer     Contract
May 2020 - Jul 2020
Food and Agriculture

  • The complete project from training to web deployment was done using python
  • The data was refined and additional data for researched for to improve the input to our models. Data analytics were derived from the data to form meaningful features for the model input
  • The training procedures were deployed using scikit-learn functions.
  • The training was performed using machine learning algorithms such as decision trees, random forest, etc, choosing the best models for ensemble.
  • The web application was presented to the client deployed using Flask

Skills used: Data Analytics, scikit-learn, Python, Machine learning, Flask

Docket Science     Self Drive Route Optimization     Developer     Contract
Apr 2020 - Jul 2020

  • Worked On Big Data to optimize path routing by appropriate algorithm development and Multithreaded Programming on Python
  • Performed data analytics to help develop algorithm and routing strategy
  • Worked with pandas as data handling module for algorithm developed and for data analytics
  • Worked on producing dynamic routing graph animations using Matplotlib for better result feedback.

Skills used: Data Analytics, Multithreaded Programming, Matplotlib, Python, Pandas

Blossom     Developer     Contract
Jan 2020 - May 2020

  • Worked on company obtained data to produce a machine learning model to predict company attributes
  • The Project Required extensive use of Natural Language Processing to complete a Multi-label operation
  • Python was employed to write the data processing, training and prediction scripts
  • Worked on company data on MongoDB to Pull and push results to the development pipeline

Skills used: Python, Natural language processing, MongoDB, Machine learning

Learning Dollars     How to create a language translator using Tensorflow.JS     Developer     Passion Project
Dec 2019 - Jan 2020

  • Coded the training procedure of the language translator in python
  • Deployed the main training procedure on TensorFlow
  • Converted the model to TensorFlow-JS architecture, imported weights and deployed over Nodejs

Skills used: Python, Tensorflow, Nodejs

Link to the project:
Indian Institute Of Technology, Hyderabad     Alien Object Segmentation Using Deep Bayesian Methods     Student     Internship
May 2019 - Jul 2019

  • This project involves the use of Deep Gaussian process to perform segmentation by also marking the uncertainty of the prediction
  • TensorFlow framework was used to perform the experiments
  • The experiments were performed over NVIDIA-DGX GPU accelerators server of the institute

Skills used: GPU accelerators, Tensorflow

Indian Institute Of Technology, Jodhpur     Oral Dental Decay Detection Using Convolutional Neural Networks     Student     Course Project
Dec 2018 - Mar 2019

  • Worked on detection of dental decays using deep learning techniques
  • Applied Computer Vision Concepts such as the CNN to develop classifier architecture
  • The model was developed using Keras framework

Skills used: Computer vision, keras, Deep learning


Indian Institute of Technology, Jodhpur    B. Tech  (Electrical Engineering)
Jul 2017 - Jul 2021


B.Tech Project : Sem II    IIT Jodhpur
Jan 2019 - Apr 2019
Skills learnt: Machine learning, keras, Deep learning
Digital Image Processing    IIT Jodhpur
Jan 2020 - May 2020
Skills learnt: Computer vision
Statistical Signal Processing    IIT Jodhpur
Sep 2020 - Nov 2020
Skills learnt: Machine learning, scikit-learn, Data Science

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