# Adam G.

> Software Engineer | M.S. Artificial Intelligence

Location: San Francisco, California, United States
Profile: https://flows.cv/adamg1

With a background in Software Engineering and Artificial Intelligence, I am passionate about leveraging cutting-edge technologies to solve complex problems in robotics and machine learning.  I focus on  developing advanced AI models, integrating sophisticated sensor systems, and creating seamless communication infrastructures for intelligent autonomous systems.

## Work Experience
### Software Engineer - Perception @ Hayden AI
Jan 2025 – Present | San Francisco, California, United States

### Software Engineer - Field Engineering @ Hayden AI
Jan 2024 – Jan 2025 | San Francisco, California, United States
- Engineered fleet monitoring dashboard system using Grafana and InfluxDB to analyze camera, GPS, and sensor
telemetry data, enabling continuous monitoring of selected fleets post-software deployment and ensuring rapid
detection of issues during frequent update cycles
- Developed weighted scoring system that analyzes camera hardware error registers, data quality metrics over
time, creating Python-based visualization tools that enabled data-driven maintenance decisions
- Built extensive Python automation framework with JIRA integration that provides tooling for debugging and mitigating real-time device issues, collaborating with field and device teams to reduce resolution time

### Software Engineer @ Squishy Robotics
Jan 2023 – Jan 2024 | Berkeley, California, United States
- Led the development and maintenance of a full-stack software system, integrating C++ Arduino 
    based code across various robot types and building Python infrastructure for end-user 
    applications, with a focus on robust software architecture designed to scale and accommodate 
    multiple variations of robots
- Architected and implemented a full-stack LTE communication infrastructure, enabling seamless 
    two-way trans-mission of encoded message packets and improving connectivity for robotic 
    systems using Cellular XBee devices and integrating with AWS IoT Core, Lambda, DynamoDB, and 
    SMS notifications
- Optimized camera-based situational awareness systems by leveraging IMU sensor readings for 
    horizontal image correction. This included static cameras placed around the sphere of the payload 
    and a rotating camera on a pan-tilt system, significantly enhancing situational awareness as 
    requested by customers
- Implemented an OS-independent video receiver featuring auto-detection via FFMPEG and 
    GStreamer, using threading for flawless device connection management
- Shipped a major software release affecting numerous customers, performing extensive testing 
    across various hardware revisions to ensure high reliability and performance
- Mentored numerous interns and UC Berkeley research students with a focus on novel research and 
    publication on machine learning/computer vision methane detection from multimodal sensor 
    readings
- Collaborated directly with a small in-house manufacturing team for provisioning and deploying 
    robotic systems, enabling fast iterations on revisions

### Software Engineer - Machine Learning @ NextFlex
Jan 2022 – Jan 2022 | San Jose, California, United States
- Implemented a Machine Learning Pipeline to automate defect detection on printed circuit boards
- Performed image classification and object recognition with OpenCV and TensorFlow
- Performed Agile Software Development with Jira and GitLab

### Robotics and Artificial Intelligence Intern @ SuperTech FT
Jan 2021 – Jan 2022 | San Francisco Bay Area
- Developed software for SuperTech FT’s robotics products (RETA, an intelligent web-based app for 
   remotely teaching, learning, programming, and controlling robotic arms)
- Trained and tested autonomous navigation using TurtleBot with LIDAR in ROS
- Created and taught robotics and machine learning education to students at San Francisco’s Code 
   Tenderloin

### Autonomous Vehicle Research Intern @ California Polytechnic State University-San Luis Obispo
Jan 2020 – Jan 2020 | San Luis Obispo County, California, United States
- Programmed autonomous vehicle attacks using Python, NumPy, Matlab and Gurobi Optimizer
- Optimized for misinformation and misbehavior attacks targeting connected cars using V2V communication
- Created large state space matrices to simulate vehicle characteristics on up to six vehicles at once
- Implemented for both Optimal Control Theory and Model Predictive Control

### Fire Protection Engineering Intern @ Wiss, Janney, Elstner Associates, Inc.
Jan 2019 – Jan 2019 | Greater San Diego Area
- Ran CFD modeling using FDS to predict flame and smoke spread through buildings
- Completed heat transfer calculations to back up CFD models for unique fire scenarios
- Interpreted the NFPA and UBC building codes to design sprinkler and smoke extraction systems

### Mechanical Engineering Intern @ Burns and McDonnell
Jan 2018 – Jan 2018 | San Francisco Bay Area
- Used REVIT to design Mechanical and Electrical systems for large scale data centers.
- Worked in small teams to create highly detailed work in a fast paced environment.


## Education
### Master of Science - MS in Artificial Intelligence
San José State University

### Bootcamp in Data Science
Galvanize

### Bachelor of Science - BS in Mechanical Engineering
California Polytechnic State University-San Luis Obispo


## Contact & Social
- LinkedIn: https://linkedin.com/in/adam-goldstein123

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Source: https://flows.cv/adamg1
JSON Resume: https://flows.cv/adamg1/resume.json
Last updated: 2026-04-10