AI Engineer · Bellevue, WA

Engineering the future, where AI meets human impact.

I'm Mark Lopez, an AI engineer and full-stack developer who ships generative AI features end to end: prompt and context engineering, RAG-backed retrieval, and the cloud infrastructure behind them. I build with TypeScript, Python, and AWS.

A calm, sunlit workspace with a laptop open to code

Expertise

From prompt to production.

Education

B.S. Computer Science & Software Engineering

University of Washington · Class of 2024

Data Structures & Algorithms, OOP, Database Systems, Agile/Scrum, SDLC, UI/UX Design, Machine Learning.

Languages

PythonTypeScriptJavaScriptSQLHTMLCSSC#JavaC++

AI & LLM Engineering

LLM OrchestrationPrompt & Context EngineeringRAG FoundationsAI-Assisted SDLCOpenAI · Anthropic · DeepSeek APIsPyTorch

Frameworks & Libraries

React.jsNext.jsReact NativeNode.jsExpressFastAPIFlaskTailwind

Tools & Platforms

Azure DevOpsAWS (Lambda · SQS · SNS)DockerRenderCloudflareGitSupabasePostgreSQLMongoDBSwagger

Approach

CI/CD · RESTful APIs · Microservices · RAG pipelines · LLM evaluation · observability · SDLC · Agile/Scrum · Machine Learning. Shipping model-backed features with clear architecture, measured outputs, and honest trade-offs.

About

Curious about tech since I was six, and that spark has only grown.

These days I build generative AI features, full-stack products, and games, with a soft spot for pixel art. Most of my time goes into making models behave inside real software: structuring context, constraining outputs, and testing what a model actually returns instead of assuming. I'm a CS grad from UW, class of 2024, and I'm always learning whatever comes my way, whether that's a new framework, a tricky bug, or an entirely unfamiliar domain. When I'm not coding, you'll find me hooping or in the gym.

Fluent in English and Filipino/Tagalog.

Selected work

AI systems I'm building

3 shipped · more on the way
Phone showing the Resolution Fitness app with an XP progress ring and workout routine list, beside a dumbbell and coffee

Resolution Fitness

Jun – Aug 2026
Independent

A full-stack fitness platform with a generative AI coach at its center: the Go/SQLite API feeds a member's routines, XP, and streak history into structured prompts so the coach answers with workout-aware advice instead of generic tips. Food scanning turns a photo into a nutrition breakdown through a vision + LLM path, and each response is bounded by the member's own logged data.

Generative AI · Mobile · Go · React Native (Expo) · SQLite · LLM APIs · Prompt Engineering · JWT

Dark API cover showing a POST thumbnail endpoint and a JSON response with image dimensions and format

Thumbnail API

Feb 2026
Independent

An async-first image service built to sit in front of AI workloads: uploads are strictly validated and queued, then processed into thumbnails at preset or custom sizes without blocking the request. FastAPI and Pillow under full pytest coverage, containerized with Docker behind a CI/CD pipeline — the media layer you wire under generative and inference jobs.

AI Infrastructure · REST API · FastAPI · Python · Pillow · Async Jobs · Docker · CI/CD

VAX Translate wordmark centered on a plain white-to-blue gradient cover

Vax Translate

Apr – May 2023
Collaboration

An early document-AI pipeline that reads a photographed vaccination card and rewrites it in plain language: Google Vision OCR extracts the fields, then translation and language-model passes produce a clear summary. Built with Professor Erdly at UWB, with output checked back against the source record so the model summarizes the card instead of inventing doses.

Document AI · Web App · React · Flask · Google Vision OCR · Google AI Translate · SQL

The next project

Space reserved. I'm always building, and this shelf keeps growing.

Experience

Where I've worked

  1. Full Stack Engineer Intern · DashBeast Inc.

    Jul 2025 – Jan 2026
    • Built the mobile team's AI-assisted development workflow: reusable prompt patterns and shared context files that turned Figma screens into typed React Native components and wired them into backend services faster than hand-writing each one.
    • Automated release engineering on Azure DevOps CI/CD, using prompt-driven authoring of the pipeline YAML to delete manual build steps and shorten the path from commit to device build.
    • Diagnosed mobile-to-backend synchronization faults by running AI-assisted analysis over device and server logs, surfacing the failure patterns in a clearer data view instead of relying on manual repro.
  2. Member Service Representative · Planet Fitness

    May 2026 – Present
    • Handle front-desk member support end to end — check-ins, memberships, and the everyday friction that taught me to design AI features around real user behavior rather than the demo path.
    • Keep equipment and the floor safe and presentable, working from shared checklists with the same discipline I apply to documenting how a model-backed system should behave.
  3. Closing Expert · Target

    Nov 2025 – Present
    • Own evening inventory operations, staging and stocking freight against a shared task app — tracking work the way I track a pipeline: clear status, no guessing, nothing silently dropped.
    • Coordinate with the team to keep the sales floor stocked and guest-ready under hard time limits, prioritizing under pressure the same way I triage incidents and failing evaluations.
  4. IT & Technical Support Specialist · Olympus Vapor

    Feb 2017 – Dec 2024
    • Built a diagnostic methodology for specialized hardware by reading firmware and system logs to isolate software-caused failures, cutting escalations 40% — the same log-first debugging I bring to model and pipeline failures in production.
  5. Technical Support Specialist & Volunteer · Adult Homecare Facility

    Oct 2016 – Present
    • Run facility-wide hardware and connectivity support while providing daily patient care and administrative help — reliability work where downtime lands on someone instead of just a dashboard.

Game development

Still building games on the side.

Games are how I keep my engineering instincts sharp — and how I got here.

Next game, in the works

Applying everything I learned to a more polished project. Details, screenshots, and a playable build are on the way.