Christian Teo · MCS @ UIUC · Software Engineer
I’m a software engineer who moves comfortably between backend systems, polished interfaces, and applied AI. I like hard problems with real users: resume intelligence, data-heavy workflows, electrophysiology analytics, and algorithmic tools that need both technical rigor and product taste.
10+
qNet issues resolved in 4 weeks
47%
sales lift from EDI integration work
24h
typical response window
Focus
AI products, full-stack systems, and quant-minded engineering
Build style
Fast iteration, clean execution, and production polish
Based in
Chicago time with experience across startup and enterprise environments
What I care about
Software that feels considered: clear flows, credible metrics, resilient systems, and interfaces that earn trust quickly.
Preferred problems
Applied AI, workflow automation, data-rich products, internal tools, and systems that need both speed and correctness.
I'm Christian Teo, an MCS student at UIUC and software engineer focused on building useful, reliable software. I enjoy taking ambiguous ideas from zero to execution, especially where product decisions, backend logic, and user experience all matter equally.
Snapshot timeline
The strongest work here spans applied AI, full-stack product delivery, and algorithmic experimentation. Each project is included because it demonstrates a specific engineering muscle, not just because it exists.
Snapshot
Current mix: production-style web builds, AI-assisted tooling, and systems work shaped by performance and real user workflows.
Showing 9 projects
Featured entries are the strongest representation of current quality and direction.
Built an AI-assisted screening workflow that compares resumes against job descriptions, then explains the score with transparent keyword, skills, and experience signals instead of opaque ranking.
Shows how I approach applied AI: useful automation, explainability, and a clean operator experience.
Built a full-stack hackathon platform with project submission, blind pairwise voting, real-time Elo leaderboard, AI judging, and event analytics dashboard.
Demonstrates full-stack product thinking: from data modeling and voting logic to AI features and a polished operator experience.
Built a dependency doctor for OpenClaw skills that scans required toolchains, flags missing system/runtime deps, and applies targeted fixes to unblock agent workflows quickly.
Shows practical developer-experience engineering: fast diagnosis, deterministic remediation, and safer automation ergonomics.
Shipped a macOS calendar CLI for creating, listing, editing, and deleting events, including recurring-event handling for reliable personal scheduling automation.
Demonstrates systems-level utility work: clean command surface, reliable event operations, and real daily-use tooling.
Designed and built a polished portfolio in Next.js to package product thinking, technical breadth, and writing into a fast-loading personal brand system that can keep evolving.
This site doubles as a live design and front-end quality signal, not just a project list.
Shipped a calorie-tracking web app with nutrition lookup, persistent user data, and goal support using PHP, SQL, and the USDA API for a complete end-to-end health workflow.
Strong example of building a full product loop: data model, API integration, and user-facing utility.
Built a native iOS utility focused on speed and clarity, with bill splitting and per-person calculation flows that keep a common task frictionless on mobile.
A small project, but a useful one for demonstrating native mobile fundamentals and interface discipline.
Explored a variation on standard binary search with an emphasis on empirical performance and algorithmic tradeoffs across large sorted datasets.
Useful as a signal for fundamentals: experimentation, performance thinking, and communicating technical comparisons clearly.
Implemented an automated trading system in MetaTrader 5 combining triple EMA crossover logic with RSI confirmation to create rules-based entries and exits.
Reflects my interest in systematic thinking, signal design, and the discipline required for quantitative decision-making.
Draft
How I designed a resume screener that scores with explainability first, not black-box ranking.
Coming soon
A practical framework for balancing velocity, quality, and user clarity in small teams.
Coming soon
Patterns I use to keep visual quality high while still shipping quickly.
I'm open to software engineering roles, product-focused collaborations, and selected freelance builds. If the work needs thoughtful execution and clear communication, I'm interested.
Best for
Product engineering, AI-assisted workflows, internal tools, and polished frontend rebuilds.
Response style
Clear next steps, direct communication, and fast movement once the scope is real.
Share the role, project, or problem space. I'll open a structured draft in your email client.