Eric ha
Software engineer
focused on building
reliable, usable products.
I design and develop reliable systems & thoughtful AI products, with an emphasis on clarity, performance, and restraint — currently focused on backend, ML, and tools built to last.
▪ [ BASED IN SAN FRANCISCO, CA // OPEN TO OPPORTUNITIES ]built recently.
Selected Works
Focus
[ WHAT I DO ]Mostly building and improving software that needs clarity, structure, and thoughtful execution — across backend, machine learning, and full-stack.
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001
Backend Engineering
Reliable, scalable services from idea to production — REST APIs, normalized schemas, auth and transactional consistency. Spring Boot, FastAPI, PostgreSQL.
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002
AI / ML Systems
Reproducible pipelines and applied ML — ETL, training & evaluation, and LLM-powered features. PyTorch, scikit-learn, Gemini & Claude.
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003
Full-Stack Development
Clean, responsive interfaces wired to real backends — React, WebSockets, and real-time features that feel fast and consistent across devices.
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004
Architecture & Process
Structuring codebases and Git workflows that grow without becoming fragile — branching strategy, PR review, making future changes easier, not harder.
About
KTH
I'm Kyaw Thi (Eric) Ha
I enjoy simplifying complex ideas and turning them into tools people can actually use.
A Computer Science + Math student at UC Davis and an AI/ML Fellow at Break Through Tech (Cornell Tech), selected from 4,500+ applicants. As Tech Lead for the ML Student Network I architect pipelines, review PRs, and keep main always-deployable.
Beyond computer science, I enjoy playing chess and reading literature and poetry. I'm also the founder of the Burmese Students' Society at CCSF. And yes — I code, and sometimes I write poetry.
Experience
[ 03 ]Selected into a highly competitive AI program from 4,500+ applicants; completed project-driven training through a Cornell Tech certification.
Defined pipeline architecture and milestones for a 4-person ML team, reviewed 20+ PRs, and kept a stable, always-deployable main branch.
Tutored 10+ students a week in Python & Java, breaking complex CS concepts into repeatable logic frameworks to cut debug time.