I build at the intersection of AI systems and backend infrastructure — RAG pipelines, LLM evaluation frameworks, distributed systems, and OS-level C/Go work.
- 🤖 Recently: AI Systems Engineer @ UA × McGraw Hill — RAG-based GPT assistant for instructors; CS Fellow @ Handshake AI — Docker CI harnesses for automated agent patch validation
- 🔧 Shipped: guardrail-auditor (LLM security SaaS), c-coroutine (hand-written x86-64 context switch), go-distributed-kv (Raft KV store), unix-shell (POSIX shell in C)
- 📖 Exploring: consensus algorithms, LLM reliability, scalable retrieval design
- 💬 Ask me about: Go, C, systems design, RAG pipelines, backend architecture
- 🎓 B.S. Computer Science · May 2026 · Open to backend / AI infrastructure roles
Languages
Backend & Infrastructure
AI / ML
Concepts
Distributed Systems · RAG Pipelines · Multithreading · OS Internals · Socket Programming · LLM Evaluation
| Project | Description | Stack |
|---|---|---|
| guardrail-auditor | LLM security auditing SaaS — tests prompt-injection, data leakage, and role bypass; ships risk-tiered verdicts and structured reports | Next.js · TypeScript · Prisma · Postgres |
| go-distributed-kv | Fault-tolerant KV store with Raft consensus — leader election, log replication, snapshotting | Go · Raft · gRPC · Docker |
| c-coroutine | Cooperative coroutine (fiber) library — hand-written x86-64 context switch, FIFO scheduler, co_yield and co_await |
C |
| unix-shell | POSIX-compliant shell with pipelines, I/O redirection, job control, and signal handling | C |
| go-ratelimiter | Thread-safe rate limiters — token bucket, sliding window, and leaky bucket; zero dependencies | Go |
Always learning. Always building.