Darshan Prajapati

I'm

About

An honors scholar with a top score of educational and extracurricular success. Wide-ranging headship skill, particularly within a higher education setting.

Passionate about Machine Learning, Artificial Intelligence & DevOps

A creative thinker, adept in software development by understanding of Computer Science fundamentals like object‑oriented design, data structures, algorithm design, problem solving, and complexity analysis.

Multi-task and works independently and within teams in fast- paced, high-volume environments. Flexible work and shift schedule. Skilled in operating basic hand tools.

Research-driven and highly organized worker bringing articulate communication skills and strong attention to detail.

  • Degree: Master of Applied CS, Bachelor in Information Technology
  • Email: dprajapati5206@gmail.com

Awards and Accomplishments

  • Awarded by Brigadier Kamal Dev role of Artificial Intelligence Research Intern.
  • Awarded Mukhyamantri Yuva Swavalamban Yojana from the Govrnment of Gujarat.
  • Selected as District Level Volleyball player from Banaskantha District

Skills

Background includes Deep learning, Artificial Intelligence, Machine Learning and DevOps work focused on experiencing real-world environments and building career.

PyTorch90%
Fast.Ai85%
Computer Vision85%
Python90%
Tensorflow80%
MySQL90%
Angular 760%
JavaScript 75%
MLflow60%
GitHub85%
FastAPI90%
Docker70%
Kubernetics70%
CI/CD70%
GitLab70%
AWS60%
Java90%
Flutter 90%
Linux 95%

Resume

Education

Master of Applied Computer Science, Concordia University, Montreal, CA

Sept 2020 - June 2022

Courses: Advance Programming Practice, Machine Learning, Applied AI, Algorithm Design Tech., Program & Problem Solving, Deep Learning, Distributed System Design and Computer Vision

Score of graduation is 3.3 out of 4.3 GPA.

Bachelor of Technology in Information Technology, Charotar University of Science and Technology, Anand, India

Aug 2016 - May 2020
  • Courses: Java Programming, Web Engineering, Data Structure & Algorithms, DBMS, Design & Analysis of Algorithm, Advance Web Technology, Machine Learning & Applications, ,Data Science and AI
  • Secured 3rd rank in Department of Technology.
  • A valuable member of Computer Society of India. Overall score was 9.51 out of 10.0 CGPA

Professional Experience

Technology Sandbox Assistant, Concordia University, Montreal, Canada

May 2021 - Apr 2022

  • Assisting students in becoming familiar with technology of 3d Printing, Arduino, Raspberry PI, AR/VR devices.
  • Knowledge of assembling and diagnosing 3D printers and other hardwares. Worked with firmware of Prusa 3d printer and deployed new printers in the meta space.
  • Exploring the 3d Modeling open source softwares such as TinkerCAD, Blender and OpenSCAD.
  • Diagnose problems and come up with solutions to repair them.

Full stack developer, Novarsys Tech, Ahmedabad, India

Dec 2019 - May 2020

  • Worked on the Vehicle Management System using Ionic Framework for Cross‑Platform Development.
  • Fetched the data using custom API developed in node.js and server deployed on Microsoft Azure.
  • Carried out the web application and mobile application for the system for the drivers and the owners.
  • Artificial Intelligence Research Intern, INDIAN ARMY, MP, India

    Dec 2019 - May 2020

    • Awarded as the Best Intern of Army from Lieutenant General of India.
    • Followed the seven principles of data science to generate the face forensics pipeline which includes the generation of morphed faces and detection of the morphed faces using GANs as PyTorch framework and Fast.AI library.
    • Tested and Deployed deep learning algorithms such as image colorization, fire detection, ships detection using satellite images, drowsiness detection and blindness detection using diabetic retinopathy.
    • Trained and retrained deep learning models and tested. Carried out statistical analysis and interpreted test results.
    • Deployed all the trained model in production using the tool streamlit by creating the Docker image.
    • Managed up to 5 projects or tasks at a given time while under pressure

    Deep Learning Intern, LeadingIndia.AI, Uttar Pradesh, India

    May 2019 - June 2019
    • Running tests, performing statistical analysis, and interpreting test results.
    • Worked on the object localization to localize the multiple objects from the images on the ImageNet Object Localization dataset.
    • Secured 42nd rank in Kaggle competition of ImageNet Object Localization Challenge.

    Full Stack Developer Intern, CSPIT, Anand, India

    May 2018 - July 2018
    • Used various technologies, including Laravel Php Framework to make code repairs and optimize corporate website.
    • Developed a basic Content Management System using Laravel Framework.

    Portfolio

    Personal Projects Here you can see some of the projects I've done on my own time to develop myself and worked with my teammates.
    More are coming.

    • All
    • App
    • ML
    • Web

    Face forensics

    Generation of Indian Ethnicity images that doesn't exist in world. Detection of real and fake images

    Link Not available ("Indian Army Project")

    Cervical Cancer Detection

    Early stage detection of cervical cancer using the FastAI library.

    Link Not available (Research Project) Worked with my teammate Umang Patel

    APTOS Blindness Detection

    Detection of early-stage blindness from diabetic retinopathy

    Cognizance 2k18

    Official Android app for the Cognizance 2018 event at CHARUSAT.

    Link is not available.

    Open Class

    A collaborative online noticeboard where students can be notified about classroom announcements. Useful for schools and universities.

    Worked with my teammate Umang Patel.

    Gallop

    A learning app where people can create as well as learn about various subjects. Users can test their knowledge in the form of quiz challenges.

    Worked with my teammate Umang Patel and Aayush Pipaliya

    Plant Seedling App

    A android app which classifies the plant seedling using kaggle dataset trained on custom based model.

    Boston Housing Price Prediction

    A machine learning project from kaggle competiton which predic the price of house using boston housing dataset

    Speech Recognition

    A simple flutter app to convert the speech to text

    Blogging Management System

    An complete blogging management system develped in Laravel

    RestNotification API

    It is rest api for CHARUSAT noticeboard which connects android appliation and web dashboard