IRVINE, CA · UC IRVINE SOFTWARE ENGINEERING + DATA SCIENCE

Specializing in AI/ML, platform engineering, and infrastructure.

Hi! I'm Allen Lai. I graduated from UC Irvine with a double major in Software Engineering and Data Science, and I love building the infrastructure, pipelines, and platforms that turn working code into something reliable and scalable.

Allen Lai

My focus is platform engineering: container orchestration, CI/CD, observability, and developer tooling. During my most recent internship I worked on a Kubernetes and MLflow migration, and I've built CI/CD pipelines and Dockerized services in earlier roles. I care about the unglamorous stuff: making deploys boring, systems debuggable, and infrastructure something teams can build on without thinking about it.

I'm also deeply into building with AI. I ship side projects solo end-to-end (most recently straddled.app, a poker session tracker on the App Store), and I use AI as a core part of how I build, not just as a feature but as a collaborator in the workflow. The intersection of platform engineering and AI infrastructure is where I want to spend my career. I also gave a TEDx talk about conquering adversity.

Outside of engineering, I run an automotive business committed to fair pricing and work as a freelance photographer on a Canon R5, specializing in portraits and cars.

JUN – AUG 2026 · CERRITOS, CA

Platform Software Engineer Intern

Optro (formerly AuditBoard)
  • Shipped multiple merged PRs to production multi-cluster GitOps infrastructure (Argo CD) for a company-wide internal-tooling Kubernetes platform spanning live and dev EKS environments.
  • Deployed and configured MLflow via Helm onto a new internal-tooling EKS cluster, owning chart values and resource tuning (raised memory request 4Gi→8Gi to resolve node scheduling pressure), scoped to a single environment.
  • Integrated external-secrets to sync AWS Secrets Manager into Kubernetes Secrets and enabled Envoy Gateway CRDs and controller fleet-wide, unblocking downstream observability (Grafana) and TLS routing.
  • Configured Grafana dashboards to monitor MLflow health and resource usage on the cluster.
  • Provisioned cloud infrastructure (VPC, EKS, S3) using Terraform/Terragrunt with reusable per-environment modules.
“This is the entry-level version of ML platform engineering: standing up MLflow on Kubernetes for other teams to use.”
JUN – SEP 2025 · ANNAPOLIS, MD

Software Engineer Intern

Raytheon & NASA
  • Developed Node.js microservices for ingesting 5TB+ of NASA Earth Data into StorNext, achieving a 98% archive rate.
  • Resolved a production incident where the StorNext archive service was crashing under load: traced logs, identified per-file archive calls as the bottleneck, and refactored the ingest logic to batch files in chunks of 50, dropping StorNext calls from ~1,000 to ~20 per batch.
  • Refactored PostgreSQL ETL pipelines using Docker containers, improving data ingestion and pipeline efficiency; used DBeaver for query optimization and schema refactoring, cutting runtime by 35%.
  • Implemented dashboards in Splunk and standardized Swagger/OpenAPI specifications, reducing on-call debugging by 40%.
  • Configured Bamboo CI/CD pipelines with automated pre-PR checks for linting, testing, and build validation.
  • Applied Agile Scrum with Jira, Bitbucket, and Confluence across user stories, sprint reviews, and retrospectives.
JUN 2024 – MAY 2025 · IRVINE, CA

Software Engineer Intern

UC Irvine, Technology Department
  • Deployed a reverse proxy and firewall rules on AWS to combat hack attempts, reducing malicious probes by 80%.
  • Used Postman for API testing, documentation, and sharing, resulting in a 40% increase in accuracy.
  • Wrote C# against a Microsoft SQL Server database with 10,000+ rows to sort and display information.
  • Debugged thousands of lines of Angular to ship an internal employee management system for UC Irvine's student center and a liability waiver form used to collect legal data for events.
JUN 2024 – JUN 2026 · IRVINE, CA

Member

Hack@UCI
  • Competed in hackathons at UC Berkeley and USC, earning over $1,000 in prizes for team collaboration.
  • Served as CTO for MenoStart, a menopause-tracking wearable + AI app, leading the technical pitch to multiple wins.
GRADUATED JUNE 2026 · IRVINE, CA

B.S. Software Engineering & Data Science

University of California, Irvine · 3.87 GPA
  • Awards and honors: President's List, Honors List, Dean's List, Top 10% of the Computer Science department.
SHIPPED · APP STORE

Straddled: Poker Session Tracker

iOS app for tracking live poker sessions (buy-ins, cash-outs, and who owes whom) that settles the night in a single tap. Designed, built, and shipped solo, from empty repo through App Store review to a freemium Pro tier. Promoted build-in-public at the WSOP in Las Vegas.

  • Settlement algorithm that minimizes transactions to square a table (net-balance minimization)
  • Supabase/Postgres backend: 10+ tables, row-level security everywhere, Auth, Realtime, server-side leaderboards via aggregation RPCs
  • Shareable end-of-session “receipt” that turns every game into a referral loop
  • Performance pass: RLS audit, Realtime debouncing, client-side caching
TypeScript · React Native · Expo · Supabase · Zustand · Next.js
Straddled app screenshot

Cutline: AI-Assisted Video Editing Pipeline

A staged pipeline that scores short-form video content and generates editing advice, on a clean three-layer architecture: a pure engine (no web/CLI deps), a thin FastAPI adapter, and a React/Vite frontend.

  • Long-running stages (model calls, ffmpeg) run as background jobs with per-stage progress streamed to the UI over SSE
  • Roadmap: content scoring/advice → reference library + matching → human-gated auto-edit (beat-sync, captions, hook ordering)
FastAPI · Python · React · Vite

MenoStart: Menopause Health Wearable + App

A femtech venture pairing a biometric smart ring (“MenoRing”) with a companion app that tracks menopause symptoms and forecasts a user's day before it starts. Built and pitched with a team; I was the CTO who built the app, designed the architecture, and led the technical pitch to multiple wins.

  • React Native + Expo app: daily AI forecast card, symptom/biometric logging, trend charts, in-app chat, clinician-ready symptom report
  • Node.js + Fastify API, PostgreSQL on AWS RDS, multi-AZ deployment, HIPAA-aligned from day one (encryption, retention, access controls)
  • BLE streaming from the wearable; modeled a 3-stage on-device→cloud ML pipeline (detection → pattern → forecast)
  • Produced the full pitch: brand system, mockups, cost architecture, unit economics for a business competition
React Native · Expo · Node.js · Fastify · PostgreSQL (AWS RDS) · BLE · HIPAA-aligned
Automotive photography feature shot 1
Automotive photography feature shot 2
Automotive photography feature shot 3

Photography: Cars & Portraits

SEPARATE PORTFOLIO SITE

Photography is where I slow down and obsess over a different kind of detail. I freelance in portraits and cars, chasing the way light wraps around glossy paint at the right hour, shooting on a Canon R5, lighting sets with Profoto B30 strobes, and pulling clean footage in Canon Log 3. I take it into DaVinci Resolve Studio and grade every clip by hand with color-space transforms and node-based looks until the color feels exactly right. The same instinct that makes me a good engineer, caring about the invisible details until the whole thing just works, is what I love about this.

Canon R5 · Profoto B30 (Air Remote TTL-C, HSS) · Canon Log 3 · DaVinci Resolve Studio (CST + node-based grades) · DJI mic
LANGUAGES
PythonTypeScriptJavaScript / Node.jsC#GoSQL (PostgreSQL)HTML/CSS
INFRASTRUCTURE & PLATFORM
KubernetesHelmArgo CD (GitOps)Terraform / TerragruntDockercert-managerEnvoy Gatewayexternal-secretsCRDs / controllers
CLOUD (AWS)
EKSS3RDSSecrets ManagerVPC / IAMVercel
ML PLATFORM
MLflow: experiment tracking + model lifecycleNLP
BACKEND & DATA
FastAPISupabasePostgreSQLMicrosoft SQL ServerNoSQLETL pipelinesDBeaver
FRONTEND & MOBILE
ReactReact NativeExpoNext.jsAngularViteZustand
OBSERVABILITY, CI/CD & WORKFLOW
SplunkGrafanaBambooGitHub ActionsPostmanGit / BitbucketJira / AtlassianAgile Scrum
AI TOOLING
Claude Code (agentic workflows, MCP)TensorFlowPyTorchLangChain
Infra depth, product instinct
Comfortable both building the platform and shipping the thing that runs on it.
Ships solo, end-to-end
From empty repo through App Store review and post-launch iteration.
Learns systems fast
Went from a Docker background to reconciliation loops, GitOps, and merged production Kubernetes PRs in one internship.
Cross-team collaborator
Works closely with senior engineers; translates between app, platform, and infra layers.

Let's build something reliable.

allenlai312@gmail.com