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πŸ‘‹ Hi there

🧬 I am currently harnessing generative AI to address the most complex challenges in Biology for advancements in drug discovery.

🌟 I have published 3 research papers in deep learning /machine learning. One of the papers was published at CVPR and has over 150 citations and 1.3K Github stars.

πŸŽ“ In the summer of 2023, I earned my Master of Science in Computer Science, specializing in Machine Learning, from Purdue University, achieving a GPA of 3.6/4.0.

πŸ–₯️ During my final year of graduate studies, I served as a Research Assistant at Kihara Lab, one of Purdue University's premier applied ML research facilities. There, I employed generative deep learning models for intricate protein structure analysis and established a machine learning serving infrastructure for these computation-intensive models (em.kiharalab.org).

πŸ‘» In the summer of 2022, I joined Snap Inc.'s Camera Platform team as a Machine Learning Engineer intern. My role involved developing and deploying a deep learning-based optical flow prediction model to automate Snapchat's video annotation process. This initiative enhanced video labeling and annotation efficiency by 15% for Snapchat's gigantic unlabelled video datasets.

πŸ›°οΈ In my first year of graduate study, I collaborated with Viasat Inc. through Purdue's The Data Mine program as a Graduate Data Science Researcher. My research focused on developing Deep Learning algorithms to tackle blind image super-resolution challenges, intended specifically to enhance the quality of Viasat's internal satellite imagery.

πŸ•ΈοΈ Before my relocation to the US, I completed five internships in India, focusing on Machine Learning and Deep Learning in the topics of News sentiment analysis, ML in finance, Sports vision analysis, Document understanding, Optical Character Recognition, Face Recognition, Fine-grained image classification, Chatbots, etc.

πŸ… I was the Smart India Hackathon (India's biggest Hackathon) grand finalist three times. During which, I worked on ML/DL-based projects for ISRO, ITC Ltd, and DRDO (India's esteemed organizations).

www.devashishprasad.com

Devashish Prasad's Projects

angle-distance icon angle-distance

Finding distance of a objects from a reference object or origin and their angle with respect to x-axis

blind-super-resolution icon blind-super-resolution

Enhanced Deep Residual Networks for Single Image Super-Resolution vs Unsupervised Degradation Representation Learning for Blind Super-Resolution vs Transformer based encoder for Unsupervised Degradation Representation Learning for Blind Super-Resolution

cascadetabnet icon cascadetabnet

This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"

emap2sec icon emap2sec

Emap2sec is a computational tool to identify protein secondary structures

emap2secplus icon emap2secplus

Emap2sec+: Detecting Protein and DNA/RNA Structures in Cryo-EM Maps of Intermediate Resolution Using Deep Learning

embossed-text-reader icon embossed-text-reader

This is a tesseract based OCR to read Embossed text on metals. It can also be use as a general OCR.

itc-tobacoo icon itc-tobacoo

This repo contains code for the SIH 2019 project. Tobaco classification on the basis of color, texture and ripeness

lcd-ocr icon lcd-ocr

This is a tesseract based OCR to read from seven segment display.

pulzion-2018 icon pulzion-2018

This website was made for the competition PULZION 18 PICT

real-time-human-authentication icon real-time-human-authentication

Smart India Hackathon 2020 DRDO problem statement: CK107. Multiple camera-based dynamic human authentication for a gate. Our solution involves multiple cameras and we authenticate humans using face, gait, pose, etc features.

tf_and_torch icon tf_and_torch

This repository contains my random pytorch practice scripts

virtual-ai-assistant icon virtual-ai-assistant

This repository contains my Bachelor's degree final year project. It is a Google colab based interactive Virtual Assistant built using open-sourced libraries.

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