AWS SAA Candidate — Expected June 2026

Jacob
Goldstein

Infrastructure & operations engineer focused on GPU clusters, Kubernetes orchestration, and Linux systems. I build reliable pipelines, keep things running, and write documentation people actually read.

2
Internships shipped
3+
Open-source projects
AWS
SAA in progress
GitHub LinkedIn Email
Jacob Goldstein
// about

A bit about me

Jacob on the water
on the water

I'm a CS grad from Pitt (Class of 2025, Cum Laude) who got into infrastructure through research — spent a summer managing GPU clusters and deployment pipelines at the Visual Media Workshop, and never really looked back.

I like systems that are boring in the right way: predictable, well-documented, and easy to hand off. Whether that's writing runbooks, wiring up CI/CD, or figuring out why a pod keeps crashing at 3am, that's the work I find satisfying.

Right now I'm studying for my AWS Solutions Architect – Associate cert and building out my Kubernetes home lab. Based in Fairfax, VA — open to remote or DC-area roles.

Kubernetes Linux AWS NVIDIA GPU Documentation CI/CD
// experience

Work history

Lead Systems & Infrastructure Tech
University of Pittsburgh — Visual Media Workshop
May 2025 – Aug 2025
Pittsburgh, PA
  • Automated retrieval and restructuring of hierarchical data via Python to preserve researcher data across migrations.
  • Managed NVIDIA GPU workloads for AI model training and performed daily throughput benchmarking.
  • Maintained 100% uptime during migrations by owning hardware validation and SSL/DNS deployments.
  • Simplified internal deployment pipelines for a 3-person research team, reducing friction on releases.
System Developer
Pricing Empowered
May 2024 – Aug 2024
Hudson, OH — Remote
  • Deployed 4 Lambda functions across 3 environments via AWS SAM, cutting deployment time from hours to minutes.
  • Optimized predictive Lambda functions for financial statistics, enabling faster processing of large datasets.
  • Integrated RESTful API endpoints, collaborating with front-end teams to reduce response latency.
  • Built GitHub Actions / AWS SAM CI/CD pipelines, reducing deployment errors by ~50% and enabling weekly production releases.
// projects

Things I’ve built

Local Kubernetes Lab
↗
Apr 2026 – May 2026
  • Provision local clusters with Kind & Bash to bridge theory with hands-on orchestration.
  • Script automated lifecycle management to monitor pod networking and service discovery.
  • Configure Docker workloads to test stability under CPU/RAM resource constraints.
  • Author technical setup guides for repeatable deployment and environment parity.
Kubernetes Docker Bash Kind
OpenFall
↗
Jan 2026 – Mar 2026
  • Open-source fall detection system for edge hardware — 95% detection accuracy.
  • Applied state machine logic to filter inference noise, reducing false positives by 40%.
  • Authored system docs and logging protocols for real-time debugging and sensor integration.
Python Computer Vision Edge ML
Caption Semantics & Diffusion Models
May 2025 – Aug 2025 — Pitt Visual Media Workshop
  • Fine-tuned Stable Diffusion v1.5 on a 6,737-image dataset.
  • A/B tested 200+ prompts — 30% improvement in subject fidelity.
  • Presented GPU workload performance findings to the Pitt research cohort.
Python Stable Diffusion LoRA A/B Testing
// skills

Technical stack

Infrastructure & Systems
Kubernetes (K8s) Docker Linux NVIDIA GPU Clusters Bash SSL/TLS DNS Monitoring Troubleshooting
Cloud & DevOps
AWS Lambda AWS SAM S3 CloudFormation CI/CD GitHub Actions Git Confluence Agile / Scrum
Development & Data
Python SQL (MySQL / PostgreSQL) REST API Design Technical Docs Stable Diffusion A/B Testing D3.js
// credentials

Education & Certs

B.S. Computer Science
University of Pittsburgh
Secondary Field: Applied Mathematics & Statistical Computing • Class of 2025
Cum Laude
☁
AWS Certified Solutions Architect – Associate
Amazon Web Services
● Candidate — Expected June 2026
// contact

Let’s talk

Open to full-time roles in infrastructure, cloud engineering, and technical operations. DC area or remote.

✉ jacobgoldstein.cs@gmail.com 🔗 LinkedIn 🐙 GitHub 📞 571-328-0060