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Hi, I am Prafful Varshney

Software Engineer

I am currently in my final year as an undergraduate student at IIT Roorkee, pursuing a B.Tech degree in electrical engineering.

My academic and professional interests lie in problem-solving, software development, machine learning, and deep learning. I have completed several projects in these areas, allowing me to apply theoretical concepts to real-world challenges effectively. I am proud to have achieved notable distinctions in competitive programming platforms. Specifically, I hold the title of Expert on Codeforces , 5-star on CodeChef and Guardian on LeetCode .

Beyond my technical skills, I am passionate about continuous learning and growth. I am eager to take on new challenges and contribute to the ever-evolving field of technology. Join me as I push boundaries and strive to make meaningful contributions to the world of technology.

Codeforces LeetCode CodeChef

Experience

Software Engineering Intern @ Jio Platforms Ltd. May 2023 - July 2023

Contributed to CloudXP, a Hybrid-Cloud Management Platform, by automating the implementation of CIS benchmarks for MySQL databases. Enhanced MySQL database security by addressing data protection, compliance, and risk mitigation concerns.

  • SQL
  • Bash
  • Shell-Scripting
  • Python

Projects

Lip Sync Speech-to-Speech

Created a model to translate the audio of input video and sync the speaker's lips according to the translated audio using GAN-based networks to generate lifelike talking faces from the translated audio and input video.

  • GANs
  • Tensorflow
  • CNN
  • Deep Learning

Low light Image Restoration Challenge

Developed a generalized image enhancement model for images taken in low-light conditions. Used AHE and Gamma Correction to achieve an average PSNR of 26 on the LOL Test set. Won Gold medal for this problem statement in Inter-Bhawan competition.

  • OpenCV
  • Computer Vision
  • CNN

Smart Horticulture Monitoring System

Developed an IoT‑based system to track the ambient conditions of the horticulture farm and automate horticulture process. Built a web app and integrated it with the ESP system using Firebase real‑time database.

  • Arduino
  • Firebase
  • C/C++
  • IoT

Stable Diffusion - Image to Prompt

Built a model to predict the text prompt for a given image using neural networks with NLP techniques. Implemented encoder-decoder model, featuring CNN network with ResNet50 weights as encoder for feature extraction and a standard LSTM network as decoder. Achieved a BELU score of 0.5.

  • NLP
  • Encoder-Decoder
  • LSTM
  • Deep Learning

Image Colorization

Developed an end-to-end deep learning pipeline to transform greyscale images into colorized images. Used conditional GAN conditioned on grayscale images, incorporated pre-trained ResNet-18 model as the backbone for downsampling in U-Net in Generator architecture and PatchGAN network as discriminator.

  • GANs
  • U-Net
  • PatchGAN
  • Deep Learning

Contact

Feel free to get in touch with me via email or ping me on social media.