Software Engineer | C++/Linux Systems · AI Engineering
I have 6+ years of experience building production software at Hanwha Vision, spanning distributed video systems, embedded devices, and cross-platform applications. My work includes improving software performance, streamlining C++ build and release workflows, and delivering features used in real-world deployments.
I'm now pursuing an M.S. in Artificial Intelligence at Santa Clara University, extending that engineering background through open-source AI contributions, retrieval-augmented generation (RAG), and AI agent systems.
🎯 Seeking Summer 2027 internships: Software Engineering · AI/ML Engineering · AI Systems
📍 San Jose, CA · San Francisco Bay Area
🔗 Portfolio · LinkedIn · Email
- 6+ years in production engineering: Delivered C++/Linux, embedded, and cross-platform software at Hanwha Vision, including performance and developer-workflow improvements.
- 2 merged AI open-source pull requests: Contributed C++ memory-allocation and Python streaming fixes to Qualcomm GenieX.
- Applied AI development: Built RAG-based enterprise analysis and a local AI agent security workbench with evidence review and tool-call policies.
Qualcomm GenieX — 2 merged pull requests
- PR #1564 — C++ inference efficiency: Changed vision-language model (VLM) logits allocation from one row per token to one row per sequence, avoiding unused memory reservations.
- PR #1577 — Python streaming reliability: Fixed cancellation behavior that could stream tokens rejected by the SDK and leave streamed output inconsistent with the final result.
Both contributions were reviewed and merged by project maintainers.
| Project | What it does and what I built | Stack |
|---|---|---|
| RippleBrain · Enterprise Change-Impact Agent | Built an application that traces how policy or contract changes affect related documents, surfaces supporting evidence, and prepares actions for human review and approval. | Python, FastAPI, Next.js, HydraDB, RAG |
| AI Agent Security Lab · Security Workbench | Built a local workbench to investigate security evidence and control AI-agent tool calls through deny, monitor, and approval policies. 234 backend tests passed using synthetic data. | Python, FastAPI, SQLite, React, TypeScript, pytest |
| ONVIF Professional Plugin · Developer Tooling | Created a Claude Code plugin for network-camera protocol diagnostics, device-profile analysis, and conformance workflows. | ONVIF, networking, Claude Code |
Other projects
- CardGuard (team project) — Prototyped privacy-aware payment-risk analysis using federated learning, cooperating agents, rules, and human review. Python, Flower, React, Stripe test mode.
- BridgeToCampus · Live demo — Built an interactive 90-day transition-planning web prototype for international students.
More implementation details and case studies: Interactive portfolio.
Hanwha Vision — Research Engineer → Senior Research Engineer
January 2020 – March 2026
- Developed modular C++/Qt 6/QML components for a distributed video management system handling thousands of camera and server connections.
- Built video, device-control, and update features for Windows, macOS, and Ubuntu; automated embedded build setup with Docker.
- Improved firmware responsiveness and C++ build workflows; administered Git branching, pull-request, and release processes used by a 50-engineer team.
- Delivered embedded NVR functionality that contributed to a $7.5M U.K. retail contract and integrated an LTE modem with hardware testing in approximately 3 weeks.
| Area | Skills and experience |
|---|---|
| Software & systems | C, C++, Linux/Unix, distributed systems, Qt 6/QML, embedded development |
| AI & ML | Python, RAG, AI agents, AI inference open-source contributions, machine learning coursework |
| Backend & web | FastAPI, REST APIs, JavaScript/TypeScript, React, Next.js, SQL |
| Engineering workflows | Docker, Git, GitHub Actions, CI/CD, debugging, cross-compilation |
- Santa Clara University — M.S. in Artificial Intelligence (expected June 2028)
- Hongik University — B.S. in Computer Engineering (2020)