PRASHANT DODIYA

PRASHANT DODIYA

Backend Developer who loves to develop APIs to integrate the team, create Routes to grow professionally and design Models to solve the challenges.

# ABOUT ME

Namaste, I am a final year student at Sardar Vallabhbhai National Institute of Technology, Surat, India, pursuing Bachelor of Technology degree in Electronics and Communication Engineering. I am interested in Computer Science and want to pursue my career as a Software Engineer. I am an ambitious person and I like to be constantly challenged and pushed in my role. It is important for me to continually grow and develop personally and professionally. I am grateful to various tech communities for opening the doors to infinite possibilities which helped me at various points in time.

# ACHIEVEMENTS

I have participated in Google Summer of Code 2021 @coala.io where I developed "Microfarm For Everybody" which aims to allow anyone to become a market garden given some space.

My team won the Code For Good 2022 Hackathon organized by J.P. Morgan Chase to provide solutions to NGOs.

I have secured a global rank of 2664 in Kickstart Round A 2022, conducted by Google.

# SKILLS

Languages

  • Python, C++, C

Lib/Frameworks:

  • Django, Django Rest Framework, Flask, Celery

Platforms

  • Heroku, Google Cloud Platform, Caddyserver

Databases

  • SQL, PostgreSQL

Tools

  • Git, Github, Gitlab, Docker, Kubernetes, Cosign, Kyverno, Postman

Familiar with

  • Javascript, Node.js, Neural Networks, Machine Learning

# PROJECTS

Sentiment Analyzer, ACM Month of Code 2021

  • Created a chrome extension to filter out negative comments on YOUTUBE which often discourages good content creators to continue creating awesome new content.
  • Tech Stack: NLTK, Tensorflow, Django, Google Youtube API, Javascript, Heroku
  • Achieved 93% accuracy.
  • Github Link

Waste Segregation, HackBash 2021 Hackathon

  • Developed a waste segregation web app, ML-based deployed, to help waste segregation at dumping areas.
  • Tech Stack: Tensorflow, Flask, React.js, Heroku
  • Awarded as "Honourable Mentions"
  • Github Link

VIRTUON, Virtual Try-On Network

  • Implemented Transferring garments across images of people with arbitrary body pose, shape, and clothing using Deep Learning and Transfer Learning.
  • Teck Stack: Pytorch, Django, Docker
  • Results are 91% accurate.
  • Github Link