Hello, I'mAldo Perez

A Software Engineer who loves:

Coding
Health & Fitness
Photography
Food
Travel

Aldo Perez is a Software Engineer at Marvell Technology in San Jose, California, specializing in AI compliance automation and release engineering. He is currently pursuing a Master's in Computer Science with an AI specialization at Georgia Tech through the OMSCS program.

Oʻahu, HawaiʻiMove to focus · Click to capture

Work Experience

Software / Release Engineer

Marvell Technology

June 2023 – Present · San Jose, CA (Hybrid)

Intern → Co-Op → full-time SWE. Own AI compliance automation, HSM firmware signing, and customer-facing releases across QA (India), DevOps (Spain), and engineering (US/India).

AI & Compliance

Designed and built an AI compliance agent (AWS Bedrock, LangChain, LangGraph) across 200+ repos, eliminating ~30–50 hrs/month of manual review and auto-filing structured Jira tickets from findings.
Shipped a full-stack compliance dashboard (Next.js, MongoDB, Python) used across 200+ components. The legal agent reports scan stats and statuses here; it covers CVE tracking, customer-string checks, and legal compliance.
Built a parallel firmware CVE scan framework: clone components, Claude scan, Excel report, and Jira tickets to developers.
Ran Flexera Code Insight on firmware stacks (>1M LOC); produced GPG-signed SBOMs (SPDX, CycloneDX) and legal reports accepted by Fortune-100 OEMs.
Delivered zero-day PSIRT fixes with Git patches and integration guides; cut customer patch-application time by ~50%.
Automated scanning and removal of customer-identifying strings across 100% of outbound source drops.

Release Engineering

Designed and owned HSM firmware signing and provisioning for Structera CXL; built scripts for production-signed builds across 4 DDR4 and DDR5 variants and delivered first-time production-signed customer firmware.
Led Structera CXL releases as the liaison across QA (India), DevOps (Spain), developers (US and India), and US customers: 3 builds/month.
Owned Velox SDK releases: tagging, Sphinx docs, and monthly customer artifacts via Adobe Experience Manager.

Data & DevOps

Built a Dash/Plotly analytics portal for three product lines (SAST, tests, doc quality for 50+ engineers); cut documentation errors by 95% with NLP spell-check and AI false-positive filtering that learns product terminology.
Extended Jenkins CI/CD when QA needed new pipeline features; debugged 20+ pipelines (fewer failures, ~20% faster builds); led Gerrit→GitHub migration for hundreds of repos.

Python

TypeScript

React

Next.js

MongoDB

AWS

Docker

Jenkins

Git

Groovy

IT Systems Engineer

Ops On Demand

Mar 2021 – Jun 2023 · San Jose, CA (Hybrid)

Managed IT, MDM, and automation for mid-sized client companies (Naehas, Zenarate, Kranz Consulting), supporting 300+ users across Mac, Windows, and Linux.

MDM & Automation

Launched zero-touch Mac onboarding with Apple Business Manager, Google SSO, and Addigy: laptop setup 4× faster (~2 hrs → <30 min) with fewer help-desk tickets.
Packaged 10+ apps in Addigy with a self-service catalog for 300+ users; cut manual installs by ~90%.

Security & Compliance

Authored SOC 2–aligned MDM policies (encryption, CIS benchmarks, password rotation); brought 100% of managed devices to audit readiness.
Deployed DNSFilter fleet-wide via Addigy; integrated Google sign-in (OAuth2) replacing local Mac passwords.

SaaS Administration

Owned SaaS admin for O365, Zoom, Adobe CC, Slack, Google Workspace, Jira/Confluence, and AWS.

Linux

Bash

Docker

Git

Google

Selected Projects

SiteScribe

App that turns any website into a Q&A chatbot with source citations. Built solo end-to-end.

LinkedIn Web Scraper

Automates LinkedIn search and connection requests for chosen companies and keywords. Uses an AI API or a free local model to solve captchas so it can keep running at $0.

Languages & Tools

Python

TypeScript

JavaScript

Java

React

Next.js

FastAPI

MongoDB

Docker

Jenkins

Git

AWS

Linux

HTML5

CSS3

Education

M.S. Computer Science (Artificial Intelligence)

Georgia Institute of Technology

2025 – 2028 (Expected)

Online Master's (OMSCS) while working full-time at Marvell. AI specialization. Expected graduation: Spring 2028. Coursework: Machine Learning for Trading (ML4T), Knowledge-Based AI (KBAI).