# Eashan Soni

> Engineering @ Dirac

Location: New York, New York, United States
Profile: https://flows.cv/eashansoni

Currently a software engineer at Dirac, an early-stage startup bringing manufacturing to the 21st century. I love working in fast-paced, exciting, and driven environments where I can grow and contribute as much as possible.

I'm a jack-of-all-trades engineer with over 2 years of industry experience, including stints at SpaceX and Tesla. I've also built many projects such as an auto-aiming projectile system, remote-controlled car, and a better ChatGPT.

I have in-depth experience with full-stack development, frontend, backend, systems design, API design, database design, machine learning, and embedded software. I have experience in hardware development too.

## Work Experience
### Software Engineer @ Dirac, Inc.
Jan 2024 – Present | New York, New York, United States

### Embedded Hardware Engineering Intern @ Tesla
Jan 2023 – Jan 2023 | Palo Alto, California, United States
Low-voltage and high-speed electronic design for Megapack and Powerpack test systems.

### Research Intern @ University of Cyprus
Jan 2022 – Jan 2022 | Nicosia, Cyprus
Designed a biomedical apparatus for controlling a sensor probe to map colon cancer tumors, including both the hardware and the software. Created a UI to interface with the apparatus seamlessly.

### Software Engineer Intern @ SpaceX
Jan 2021 – Jan 2021 | Hawthorne, California, United States
- Improved functionality and reduced technical debt of internal tooling infrastructure in SpaceX’s flight software group
- Greatly expanded functionality of a company-wide tool used for capturing test metadata on rocket hardware/software
- Fixed bugs, inefficiencies, and design flaws in the Python-based, 2-million line codebase with 100% unit test coverage

### Software Engineer Intern @ Tesla
Jan 2020 – Jan 2021 | Palo Alto, California, United States
- Developed a system to automate testing, monitoring and management of Tesla Autopilot hardware/firmware at scale
- Created a full-stack tool: teams can monitor 100s of Autopilot boards in real-time, launch many tests at once, view test logs and results, view real-time graphs of power and temperature, and flash firmware, among many other features
- Frontend written in React, backend and host management written in Python, hosted on AWS EC2 server, test logs stored on AWS S3 bucket, test results stored in PostgreSQL database, streaming done through websockets
- Created infrastructure using Ansible and Docker to scalably deploy firmware and testing software for Autopilot boards

### Machine Learning Intern @ Regeneron Pharmaceuticals, Inc.
Jan 2020 – Jan 2020 | Tarrytown, New York, United States
- Created UNet-based deep learning model in the digital imaging group to identify specific cancer cells in tissue stains
- Implemented the AI model using Tensorflow; refined it through image pre-processing and hyper-parameter tuning
- Trained and hosted the AI model on a Cuda-enabled GPU server through AWS for use by the entire imaging team
- Developed React-based interactive GUI so non-technical people can simply input images and receive predictions

### Software Engineer Intern @ AMD
Jan 2020 – Jan 2020 | Austin, Texas
- Significantly streamlined hardware testing workflow by automating design verification of circuits used in burn-in testing
- Developed command-line tools to automate motherboard configuration testing in Ubuntu and Red Hat environments

### Undergraduate Researcher @ Texas A&M University
Jan 2019 – Jan 2019 | Bryan/College Station, Texas Area

### Engineer @ TAMU RoboMaster Robotics
Jan 2019 – Jan 2019 | Bryan/College Station, Texas Area


## Education
### Bachelor of Science - BS in Computer Engineering
Texas A&M University
Jan 2018 – Jan 2023

### Coppell High School
Jan 2014 – Jan 2018


## Contact & Social
- LinkedIn: https://linkedin.com/in/eashan-soni-ba390314b

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Source: https://flows.cv/eashansoni
JSON Resume: https://flows.cv/eashansoni/resume.json
Last updated: 2026-03-21