I build reliable AI products — thoughtful frontends, resilient backend systems, well-structured data, cloud-ready experiences that scale, and intelligent AI features powered by RAG.
He who sweats more in training bleeds less in war.
Designing and shipping server-side systems that hold up under real production load — REST and GraphQL APIs, microservices, event-driven pipelines, async workers, and the boring middleware glue (auth, rate limiting, retries, idempotency) that keeps the rest of the stack reliable. I care about clear service boundaries, observable failure modes, and contracts that don't leak when teams move fast.
Building responsive, accessible, and fast user interfaces with modern frameworks. I think carefully about component composition, state placement, render boundaries, and the loading/empty/error states real users hit. Performance budgets, semantic markup, keyboard navigation, and design-system consistency are part of the work — not a polish step at the end.
Taking a product from idea to shipped application across web, iOS, and Android. That covers UX flows, navigation patterns, offline-first storage, auth, push notifications, deep linking, app store submission, signed releases, OTA updates, telemetry, and the post-launch iteration loop. I build with a single codebase where it makes sense and reach for native only when the platform asks for it.
Running production workloads on AWS and similar platforms with infrastructure-as-code (Terraform), containerization, Kubernetes, and CI/CD pipelines that actually deploy on green. I set up observability — structured logs, metrics, traces, and alerts — so the team finds out about incidents from a pager, not a customer. Cost, security groups, IAM, and secret rotation come along for the ride.
Modeling schemas for the queries the product actually needs — relational modeling for transactional workloads, document stores for flexible product data, key-value and cache layers for hot paths, and vector stores for semantic retrieval. I think about indexes, query plans, migrations, backfills, and consistency boundaries up front so performance and correctness don't become rewrite projects later.
Building production applications powered by large language models — intelligent search, document Q&A, summarization, conversational interfaces, and content generation. I focus on prompt and tool design, structured outputs, streaming UX, token-cost control, latency budgets, and the caching/retrieval patterns that make LLM features feel snappy instead of magical-and-flaky.
Designing autonomous agents that plan, call tools, and recover when something goes wrong — including tool schemas, memory layers, multi-step reasoning loops, and human-in-the-loop checkpoints. I build the orchestration framework around the agent: retry policy, timeouts, state persistence, traces, and cost ceilings, so the system stays observable and bounded even when the model misbehaves.
Building voice-driven interfaces with real-time speech-to-text, text-to-speech, and conversational turn-taking. That includes streaming audio pipelines, VAD (voice activity detection), interruption handling, barge-in, and the latency tuning that makes a voice agent feel like a conversation instead of a form fill. Accessibility and noisy-environment robustness are first-class concerns.
Designing the evaluation harness around an LLM or agent system — offline regression suites, online sampling, faithfulness and hallucination checks, refusal and policy tests, red-team prompts, and guardrails at the model and application layers. I treat evals as a first-class CI signal, not a one-off benchmark, so behavior regressions get caught before users do.
Much learning does not teach understanding.Heraclitus
- Learning
- Building
- Failing
- Understanding
- Mastery
Roster
Worked as a Contractor at Roster, contributing to full-stack feature development across the stack.
Rise against Hunger
Contributed in a technical capacity while volunteering with Rise against Hunger supporting operations, working on technical tasks, and participating in the organization's mission to end hunger.
Your Company
Building and maintaining backend services and APIs for a high-traffic SaaS platform. Working on system architecture, performance optimization, and developer tooling.
What we have to learn to do, we learn by doing.
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