StudentDeveloperResearcher
Hello, I'm Rajit Sareen
CS @ University of Washington, developer and software engineer fueled by curiosity and grit to build.
My Story
My journey into technology began with early exposure in Bangalore, India, and continued through Saudi Arabia, before I settled in Washington. This diverse background fostered a deep curiosity for how systems operate and a strong drive to build. I am currently pursuing a Bachelor of Science in Computer Science at the University of Washington. My studies are complemented by practical experience, including an impactful IT internship at the Richland School District, where I honed real-world problem-solving skills.
Currently, I'm an Undergraduate Research Developer at the DAIS Lab, contributing to cutting-edge projects like DeepTracer, a protein structure predictor. This role has deepened my interest in backend development and the transformative power of AI. I believe in continuous learning and leveraging technology to create meaningful solutions that impact lives, a drive that stems from my global experiences and early exposure to diverse technological environments.
Milestones
My Journey
Participant, Husky Datathon
Apr 2024
Developed a machine learning model to predict company profit based on multi-product sales data, utilizing XGBoost for high accuracy.
Machine LearningXGBoostData Analysis
University of Washington
Sep 2023 - Jun 2027
Pursuing a Bachelor of Science in Computer Science, focusing on software engineering, artificial intelligence, and data science.
My Skills
React
Next.js
Tailwind CSS
TypeScript
Python
Node.js
Docker
AWS
OpenCV
JavaScript
Angular
Flask
FastAPI
MongoDB
SQL
WebSockets
React Native
PostgreSQL
Kubernetes
Java
Git
My Certificates
Dell Tech Direct
Certified for Dell's Tech Direct program, gaining expertise in diagnosing and repairing Dell hardware.
SolidWorks
Certified in SolidWorks, demonstrating proficiency in 3D modeling and mechanical design.
AWS Cloud Practitioner
Certified as an AWS Cloud Practitioner, validating foundational knowledge of AWS cloud services.
My Projects
SmartFridge
React Native, FastAPI, PostgreSQL, AWS EC2, Docker, YOLOv8
A mobile app that tracks fridge inventory and suggests recipes using image recognition.
Cube Companion
MongoDB, React, TypeScript, Node.js, Kubernetes, WebSocket
A full-stack Rubik’s Cube timing app with real-time multiplayer races.
DeepTracer
Angular, Flask, PyTorch, TensorFlow, GPU Optimization
A protein structure predictor using stacked U-Nets on cryo-EM maps. Initially developed with U-Nets, the project is transitioning to a diffusion-based generative AI model for improved molecular reconstructions.
Contact
Let's Talk
Interested in working together or have any questions?