I'm Rajat
Rajoria.
A Software Developer
Engineer
based in India.
I'm an enterprising person who loves technology. I enjoy taking on various challenges, and I'm always excited to learn new stuffs. See me as a collaborative person who is self-motivated and skilled at solving problems.
EDUCATION
Schools, I've attended in the past.
01
St.Augustine's Day School
ICSE
2004 - 2017
Sports and quizzes. Secured 95.8%. Finished 2nd in school.
02
Bholanada National V.
CBSE
2017 - 2019
Percentage: 89%
03
Jadavpur University
B.E in Information Technology
2020 - Present
I'm currently in my pre-final year. The linear GPA over the four semesters is 9.39.
Philosophy & Values
Everyone, I believe, want the same thing: a connect with mankind, metaphysical serenity, and a cosmic experience. I strive to comprehend these concepts via my principles of sincerity, originality, and generosity.
Friends🤝. Family👨👩👧👦. Love❤️. $$$💰
Skillsets
A Sneak peek into my skillsets. These fields really interests me a lot. I might not be very professional in these but I have always believed that if you have that resolutness in you, there's nothing that can stop you.
You are your very own Porsche...
"The only thing standing between you and outrageous success is continuous progress."
Web Development
I am quite comfortable with HTML, CSS, Vanilla JS, and React JS. I'm presently into backend development. Will soon come up with interesting projects. Keep an eye out on this page ;)
Competitive Programming
I've been interested in CP since my first year of college. I've spent a significant amount of time honing my problem-solving abilities through CP and DSA. Link's on the page ;)
Machine Learning
I am a newbie to the field of Machine Learning. So far, it has been incredibly intriguing, and I'm looking forward to more of it.
Android Development
Little exposure to Android Dev. Lodged with couple of cool ideas. Looking forward to more of it in near future.
TECHNICAL SKILLS
Some tools with which I have worked...
EXPERIENCES
Work experiences...
Wells Fargo
May'23 - July'23
In the summer of 2023, I interned at Wells Fargo in Hyderabad and worked on enhancing liquidity forecasts using RNN and denoising cheques with Computer Vision. The experience was surreal and it gave me a wonderful oppurtunity to network and learn from seasoned software engineers. Skills: Machine Learning, Computer Vision.
Undergraduate Researcher
July'23 - Present
I am currently working as an undergraduate researcher under Dr. Pawan Kumar Singh at Jadavpur University where my work focuses on developing Deep Learning-based Biomedical Image Classification models. Over this time, I have successfully submitted 3 research papers to various conferences and journals which are currently under publishment
PROJECTS
Some of my projects...
Custom Meme Generator
Have fun and let the photos talk now. Some truly awesome features come with this meme maker. It has practically every tool you could possibly need to create the finest memes. Why are you holding out? Think up some incredibly funny memes, and share them with your buddies.
Tenzies Plus
Play this simplistic yet entertaining game of the classic - Tenzies and battle for a spot on the scoreboard. This game's global database synchronisation makes it more engaging and interesting. Stop reading right now, click this, and give it a shot :)
Sudoku Solver
A Sudoku solver that can finish practically any puzzle in a matter of seconds. Real time input validator with colour hints also featured. The GUI is easy to use. Making it function is thus not particularly difficult. Watch this application solve some really challenging sudokus.
PUBLICATIONS
My publications...
Title: "A Deep Feature Ensemble Methodology for 2D Biomedical Image Classification"
We analyzed and preprocessed biomedical images for deep learning, customized architectures for classification, and developed an ensemble methodology with ~80% accuracy. This work contributed to a research paper accepted for the 6th International Conference on Computational Intelligence in Pattern Recognition (CIPR-2024)
Title: "Attention-based Deep Neural Networks for 2D Biomedical Image Classification"
We developed an attention-based model for organ classification within the MedMNIST v2 framework, achieving accuracies of significant accuracies. This work led to a research paper submitted to the MDPI Journal, showcasing the model's effectiveness in biomedical image classification. It is currrently under review.
Title: "A Lightweight Attention-Based Convolutional Neural Network for Classification of 3D Biomedical Images"
We developed a 3D medical image pipeline with an attention-enhanced 3D-CNN architecture for optimized spatial feature processing. The proposed model surpassed benchmark metrics. This work resulted in a research paper accepted as a book chapter for "Swarm Optimization for Biomedical Application" at CRCPress: Taylor & Francis in Florida, USA.
HOBBIES
Activities I like...
Travel ✈️
I am a wanderlust nut. Exploring new places and interacting with different individuals really calms me and causes me to feel euphoric. You can almost always count me in for camping trips, treks, or anything. :)
Music 🎵
Music transports me to another world. Talk trash when I'm on headphones, & I don't give a shit since I'm on to something more peculiar;). Imagine Dragons, Ed Sheeran and Lewis Capaldi are incredible!!!
Gaming 🎮
I've been interested in video games since I was a child. I've tried it all: PlayStation, Xbox, Oculus and what not. Gaming evenings are always a hit with me! ;)
Rajat R.
