Jacob Goldstein
Fairfax, Virginia · jacobgoldstein.cs@gmail.com · 571-278-9774 ·
linkedin.com/in/jacob-barnes-goldstein ·
jacobgoldstein.dev
Computer Science graduate (University of Pittsburgh, 2025, Cum Laude), now IT Support Specialist at The Potomac School in McLean, VA. Experience troubleshooting Windows and Linux systems, supporting users, and working across hardware, networking, DNS/SSL, Apache, WordPress, AWS, Docker, Python, and SQL environments. Known for methodical troubleshooting, clear ticket and process documentation, and learning unfamiliar systems quickly.
Technical Skills
| Support & Troubleshooting | IT troubleshooting, user support, hardware troubleshooting, ticket documentation, technical documentation, escalation, Windows fundamentals |
|---|---|
| Systems & Networking | Linux, DNS, SSL/TLS, networking fundamentals, Apache, WordPress, SFTP, permissions, NVIDIA GPU workstations |
| Cloud & Automation | AWS (Lambda, S3, SAM, CloudFormation), Docker, Kubernetes fundamentals, Bash, Python, SQL, Git, GitHub Actions, REST APIs |
Professional Experience
IT Support Specialist — The Potomac SchoolPresent · McLean, VA
- Support across endpoints, identity, and access in a school environment, with methodical troubleshooting and clear documentation.
Systems & Infrastructure Technician (Internship) — University of Pittsburgh, Visual Media Workshop
May 2025 – Aug 2025 · Pittsburgh, PA
- Provided technical support and infrastructure assistance for a specialized university research team of 3.
- Supported Linux/server-side systems: Apache configuration, DNS changes, SSL transfer, SFTP migration, and a WordPress Multisite migration, troubleshooting permissions and deployment issues along the way.
- Ran migrations without unplanned downtime by validating hardware, SSL/DNS, and deployment paths ahead of each move.
- Monitored NVIDIA GPU workloads for AI training and performed daily throughput benchmarking.
- Automated retrieval and restructuring of hierarchical data via Python to preserve researcher data.
System Developer (Internship) — Pricing Empowered
May 2024 – Aug 2024 · Hudson, OH (Remote)
- Deployed and supported 4 Lambda functions across 3 environments using AWS SAM, reducing deployment time from hours to minutes.
- Documented deployment steps and collaborated with front-end teams to troubleshoot API and latency issues.
- Integrated RESTful API endpoints and supported staging/production release workflows using Python and SQL.
- Implemented GitHub Actions/AWS SAM CI/CD pipelines, reducing recurring deployment errors.
Technical Projects (personal / independent)
Local Kubernetes Lab & Linux Infrastructure Practice — github.com/jakegold1647/k8s-fundamentals
Apr 2026 – May 2026
- Provisioned local clusters using Kind and Bash; scripted lifecycle management to monitor pod networking and service discovery.
- Configured Docker applications to test stability under CPU/RAM resource constraints.
- Documented setup steps and common failure points to support repeatable troubleshooting.
OpenFall — Real-Time Fall-Detection Prototype — github.com/jakegold1647/OpenFall
Jan 2026 – Mar 2026
- Developed a real-time fall-detection prototype from a single RGB camera, using state-machine logic to reduce inference noise and false-positive triggers.
- Documented setup and testing steps for reproducible deployment.
Evaluating the Impact of Caption Semantics on Diffusion Model Outputs — Visual Media Workshop (academic research)
May 2025 – Aug 2025
- Fine-tuned Stable Diffusion v1.5 models using a 6,737-image dataset; presented GPU workload performance findings to the Pitt research cohort.
Education
M.S. Applied Information Technology — George Mason University
Admitted; start term not yet set
- Cyber Security concentration. Part-time, alongside full-time work at The Potomac School.
B.S. Computer Science, Cum Laude — University of Pittsburgh
2025
- Secondary Field: Applied Mathematics and Statistical Computing.
- Coursework included robotics and ROS (Robot Operating System) — academic experience.
Additional Hands-On Experience (personal, non-professional)
- Personal computer building: component selection, assembly, upgrades, and troubleshooting of my own machines.
- Home lab and home network used as a testing environment for Linux, Docker, and Kubernetes practice.