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Early-career cybersecurity practitioner focused on TLS and security testing

I combine externship work on IoT defense with security operations experience to test, harden, and monitor systems using Python and automation.

Work samples

Projects include an IoT cyber defense externship focused on attacks and TLS defenses, and a solo-built Full-Stack AI pipeline with FastAPI, Docker, LLM analysis, and public repo documentation.

  • Hydroficient IoT Cyber Defense Externship
    Hydroficient IoT Cyber Defense Externship
    Hydroficient logo

    Hydroficient · ✅ Verified by Extern · ⏱️ In progress

    Hydroficient IoT Cyber Defense Externship

    Build, hack, and defend real IoT infrastructure, then hand your security playbook to an actual company. You’ll launch realistic cyberattacks, from spoofing and replay attacks to unauthorized shutoffs, and implement defenses like TLS and mTLS.

    Python ProgrammingData AnalysisThreat ModelingDashboard Development
  • Consumer Trend Discovery — Full-Stack AI Pipeline
    Consumer Trend Discovery — Full-Stack AI Pipeline
    Consumer Trend Discovery — Full-Stack AI Pipeline

    Scoped, built, and deployed solo: a multi-source pipeline with a custom FastAPI backend, API integrations, and schema validation at every stage, routing data through LLM analysis into a generated report; containerized with Docker and published to a public GitHub repo with architecture documentation.

    FastAPIDockerGitHubLLM

About me

I combine externship work on IoT defense with security operations experience to test, harden, and monitor systems using Python and automation.

I graduated with a degree in Computer Science and am building a career in cybersecurity through two main avenues: a hands-on security externship that focuses on TLS, certificate management, and security testing, and over three years in security operations, where I handled incident investigations and escalations at corporate sites. My background includes Python automation, monitoring, alerting infrastructure, and root-cause analysis. I am also pursuing my CompTIA Security+ certification.

Externships

Hydroficient IoT Cyber Defense Externship

In progress

Experience

Cybersecurity Extern

Hydroficient · Oct 2026 – Present

Security Operations Officer

Allied Universal — Samsung Site, San Jose, CA · Aug 2026 – Present

AI Agent Engineer Extern

Wayfair · Mar 2026 – Jun 2026

Data & AI Engineer (Freelance)

Outlier AI · Sep 2024 – May 2025

Software Engineer Intern

Tomorrow's AI · Oct 2024 – Dec 2024

Security Specialist

SIS Inc. — Apple Site, Cupertino, CA · Oct 2020 – Jan 2023

Education

California State University East Bay

BS in Computer Science · Class of 2025

Skills

TLS & certificate managementsecurity testingaccess control & surveillance monitoringincident investigation & documentationescalation proceduressecurity dashboardsPythonSQLJavaScriptBashCC++JavaLinuxAWSGCPDockerKubernetesnetworking fundamentalsREST APIsGit/GitHubCI/CDLLM APIsagentic workflowsLangChainPandasNumPyscikit-learnTableauPower BI

✅ Verified by Extern · ⏱️ In progress

Hydroficient IoT Cyber Defense Externship

Build, hack, and defend real IoT infrastructure, then hand your security playbook to an actual company. You’ll launch realistic cyberattacks, from spoofing and replay attacks to unauthorized shutoffs, and implement defenses like TLS and mTLS.

Python ProgrammingData AnalysisThreat ModelingDashboard Development

Overview

The project recreated an operational IoT water-monitoring environment and exercised offensive and defensive operations against it. The work launched realistic attacks such as spoofing and replay, implemented network and cryptographic controls including TLS and mutual TLS, and documented defensive steps in a security playbook delivered to the partner.

Hydroficient IoT Cyber Defense Externship

What I've accomplished

I worked through a staged, hands-on program that combined threat emulation against an IoT water system with defensive implementation and documentation.

Project breakdown

View all work

Consumer Trend Discovery — Full-Stack AI Pipeline

Scoped, built, and deployed solo: a multi-source pipeline with a custom FastAPI backend, API integrations, and schema validation at every stage, routing data through LLM analysis into a generated report; containerized with Docker and published to a public GitHub repo with architecture documentation.

FastAPIDockerGitHubLLM

Overview

Consumer Trend Discovery — Full-Stack AI Pipeline
View all work