# Sohan Sondhi

**Software Engineer (Contract)** — New York City, NY, United States

> NYU Computer Engineering senior with hands-on experience in embedded systems, robotics, and AI-powered software. Built production systems at the intersection of computer vision, machine learning, and hardware.

Career Archetype: **Concourse Artisan** (OE-MX) — One of the first Concourse Artisans on Saywise

## Links

- LinkedIn: https://linkedin.com/in/sohansondhi
- GitHub: https://github.com/SohanSondhi

## Experience

### Machine Learning Engineering Intern, Living Brands AI (2026-02 – 2026-08)
Brooklyn, NY · Built a Python data pipeline that processed 4,000+ emails, documents, and meeting transcripts for search and retrieval capabilities.

### Software Engineering Intern, Bynd Bio (2025-06 – 2025-08)
Remote · Built a TypeScript RAG (Retrieval-Augmented Generation) assistant using OpenAI APIs to translate natural-language pricing requests into structured formulas, significantly reducing formula creation time.

### Engineering Intern, Indistinguishable From Magic Inc. (2025-02 – 2025-05)
Brooklyn, NY · Designed CAD parts and built a motorized camera dolly and Zoom controller using the company's microcontroller platform and stepper motor module.

### Teaching Assistant: General Engineering, New York University (2024-08 – present)
Brooklyn, NY · Teaching assistant for Intro to Engineering course covering Python and C/C++ with Arduino and Raspberry Pi. Lead the Web Development Committee, overseeing internal course software that supports 600+ students and staff. Mentor student teams building robotics and computer vision projects.

## Education

### Bachelor of Science - BS in Computer Engineering, New York University
Activities and societies: Robosub - Computer Vision Team Lead, Tech@NYU, HackNYU

## Projects

### Computer Vision Lead – RoboSub
ROS2 perception and SLAM system for autonomous underwater navigation · Leading a 5-person team to build a ROS2 perception and SLAM system using ZED stereo cameras. Developing a persistent 3D mapping pipeline with RTAB-Map that integrates stereo depth, visual odometry, and loop closure. Built a Unity simulation environment to test YOLO perception before hardware deployment.

### Robotic Ball Catching
Two-camera ball-tracking system for robotic arm interception · Developed a two-camera ball-tracking and trajectory-prediction system to estimate where and when a UF850 robotic arm should move to intercept a thrown ball. Integrated real-time vision processing with robotic arm control.

## Skills

C++, C, Python, C#, JavaScript, TypeScript, SQL, ROS2, Linux, NVIDIA Jetson, ESP32, Arduino, Raspberry Pi, Git, Docker, OpenCV, Unity, RViz, PlatformIO, Google Cloud, FastAPI, LangGraph, MongoDB, CAD, Embedded Systems, Robotics

## AI Fluency

- **ChatGPT** (https://chatgpt.com)
- **Claude** (https://claude.ai)
- **Gemini** (https://gemini.google.com)
- **Codex** (https://developers.openai.com)

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Source: https://saywise.com/member1230 (last modified 2026-10-05T20:24:59.847Z)