Hello I'm
Rajat Gupta
I am passionate about solving important problems that drive real-world impact.
About me
Hey! I'm a student at the University of California, Davis pursuing a Bachelor's of Science (B.S) in Computer Science and Engineering, with an emphasis on Statistics and Machine Learning. Currently, I am a Machine Learning Intern at Skyhigh Secrity. Here, I am developing and integrating an asynchronous ML model with a big data pipeline, utilizing powerful tools such as Hadoop and Apache Spark.
Ever since being introduced to computers, I've worked on technology fields such as Robotics, CyberSecurity, IoT and Software Development. My favorite part of programming is the problem-solving aspect. I love the feeling of finally figuring out a solution to a problem. My core stack is React, Next.js, Node.js, and MongoDB. Along with building things, I am always looking to learn and stay updated with new technologies.
I am passionate about entrepreneurship and have been recognized as a Keller Pathway Fellow at UC Davis. This fellowship has provided me with the opportunity to develop my entrepreneurial skills and work on innovative projects.
My projects
My skills
- JavaScript
- TypeScript
- HTML/CSS
- Java
- C/C++
- MATLAB
- Linux
- Python
- React
- Next.js
- Node.js
- Git
- Tailwind
- MongoDB
- PyTorch
- TensorFlow
- Express
- PostgreSQL
- AWS
- Hadoop
- Docker
My experience
Machine Learning Intern
Skyhigh Security
--> Built Machine Learning model running asynchronously with the CASB big data pipeline improving anomaly detection accuracy by implementing advanced filtering techniques leveraging frameworks such as Apache Spark and Hadoop --> Reduced false positive security alerts by developing machine learning models using Python, Scikit-learn, and TensorFlow.
2024Open Source Developer
CodeLab@UCDavis
-> Built Espresso, an Interactive learning tool inspired by the likes of Anki and Quizlet -> Contributed 2K+ lines of Ruby code to the PureChart Rails gem, which allows for customizing charts on Rails
2024 - PresentControls Engineer
UC Davis EcoCar EV Team
Developing a Model Predictive control system for the 2023 Ford Cadillac Lyriq, to enable for autonomous longitudinal cruise control.
2023 - PresentCrew Member @ Team-2489 The Insomniacs
First Robotics Competition
Team advanced to the Houston Championship after winning at the Silicon Valley Regionals 2023 with a record of 6-4-0.
2022-2023Quality Assurance Intern
Ome
Developed over 15 testing processes for an iOS app that controls a smart kitchen knob. In doing so, I found and fixed major bugs and design issues by analyzing backend logs with Papertrail, ensuring the app worked smoothly and met user expectations.
2022Engineering Intern
Matrecomm Technologies
Engineered schematics for a custom Network chip giving Laptops access to the internet on the go using XML and Autodesk Eagle.
July 2018 - October 2018Contact me
Please contact me directly at guptarajat978@gmail.com or through this form.