Amit Rand

I'm a 3rd year UCLA undergraduate graduating in 2026 passionate about building with AI, computer vision, and medical imaging.

Get in touch View my work

About Me

I'm a Computer Science and Mathematics student at UCLA with a focus on artificial intelligence and machine learning. My passion lies at the intersection of technology and healthcare, where I develop innovative solutions using computer vision and medical imaging.

When I'm not coding, you can find me playing pickup soccer on the field, reading about the latest AI research, or experimenting with new technologies to solve real-world problems.

Skills

Python

C++

Java

JavaScript

TypeScript

PyTorch

TensorFlow

Computer Vision

Machine Learning

Deep Learning

Reinforcement Learning

Medical Imaging

React

Next.js

Tailwind CSS

Express.js

Flask

SQL

Experience

Embedded Software Development Engineer Intern

Amazon | Summer 2025

Incoming Summer 2025 at Special Project Labs, Project Kuiper :)

Research Scientist Intern

Leidos | April 2025 - Present

Developing LLM and generative model based internal-facing solutions at the AI Research Accelerator Lab.

Generative AI Intern

Scale AI | February 2025 - Present

Collaborating with AI researchers to optimize generative model performance through architectural tuning, fine-tuning strategies, and data preprocessing for complex reasoning tasks.

Research Assistant

UCLA Cardiovascular Imaging Research Lab | July 2024 - Present

Developing machine learning models and data processing pipelines for cardiovascular MRI based analysis. Collaborating with medical professionals to improve diagnostic accuracy.

Software Development Engineer Intern

Q.ai | August 2024 - October 2024

Built full-stack tools and dashboards to support unbiased data generation, deployed deep learning models, and enhanced internal data pipelines under NDA.

Research Apprenticeship

Department of Biomedical Datascience | January 2024 - June 2024

Worked on computer vision machine learning models to classify strains of infectious keratits under the mentorship of a Post Doctoral Scholar.

Software Development Engineer Intern

Empowerly | May 2023 - March 2024

Built full-stack features and deployed intelligent bots for marketing automation and data-driven engagement using React, Node.js, PostgreSQL, and LLMs.

Projects

MedKnight

AR-assisted medical system that harnesses AI and immersive technology to guide first responders through critical, time-sensitive procedures (Best Implementation Award at CalHacks 11.0.)

Python

Oculus SDK

Fetch.ai

Flask

OpenCV

SQL

Unity

Deepgram

View Project

fMBV-Microvascular Network Pipeline GUI

Developed a secure, cross-language data pipeline that streamlines processing of fMBV maps and 3D cardiovascular images to generate precise, patient-specific microvascular network models for non-invasive ischemic heart disease assessment.

Python

C++

Matlab

PyQt

VTK

ITK

TetGen

PyVista

PaperLeaf

Full-stack web app that transforms handwritten proofs into editable LaTeX via a custom CNN-based character detection and image segmentation pipeline. Features user auth, image upload with preview, dashboard to track conversions, and a referral system unlocking unlimited LaTeX conversions.

Python

TensorFlow

CNNs

Computer Vision

TypeScript

Next.js

React.js

Flask

Tailwind CSS

SQL

PostgreSQL

View Project

InterviewSensei

AI-powered interview preparation platform that uses advanced NLP techniques to analyze and provide feedback on user responses, helping candidates improve their interview skills.

Python

OpenAI

Flask

React.js

Tailwind CSS

View Project

Resign

A web app that uses computer vision to translate sign language into text and speech, making communication more accessible for the hearing impaired.

Python

OpenCV

TensorFlow

LSTM

Keras

Flask

React.js

Tailwind CSS

View Project

Git-Friend

A CLI tool that integrates with OpenAI's ChatGPT to help you generate and execute Git commands from natural language instructions.

Shell

GPT-3.5

Git

View Project

View all projects

Research

Beyond Conventional Transformers: The Medical X-ray Attention (MXA) Block for Improved Multi-Label Diagnosis Using Knowledge Distillation

Amit Rand, Hadi Ibrahim

Pre-Print

Computer Vision

Medical Imaging

Machine Learning

Transformers

Read Paper

Relevant Coursework

UCLA

Courses numbered 1-99: Lower Division

Courses numbered 100-199: Upper Division

Courses numbered 200+: Graduate Level

Computer Science, Electrical & Computer Engineering

Reinforcement Learning

COM SCI 260R (Grad)

UCLA

Advanced Deep Learning and Neural Nets

ECE C247B (Grad)

UCLA

Deep Learning and Neural Networks

ECE C147/247A (Grad)

UCLA

Introduction to Algorithms and Complexity

COM SCI 180

UCLA

Operating Systems

COM SCI 111

UCLA

Software Construction

COM SCI 35L

UCLA

Mathematics, Statistics

Machine Learning

MATH M156

UCLA

Real Analysis

MATH 131A

UCLA

Linear Algebra

MATH 115A

UCLA

Introduction to Probability

STATS 100A

UCLA

Contact

I'm always open to discussing new projects, opportunities, or partnerships. Feel free to reach out to me through any of the following channels.

amit.rand@ucla.edu

linkedin.com/amit-rand

Send me a message

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