I work across the stack: elegant frontends, resilient backends, high‑leverage automation, data pipelines, realtime systems, and performance tuning. This page highlights core technologies I use frequently plus emerging tools I experiment with.
Explore StackClean, semantic interfaces with scalable component patterns, accessibility baked in, and performance budgets enforced.
Deep experience from build tooling to runtime optimization, type‑safe patterns, and dependency hygiene.
Automation, scripting, API services, data munging, LLM integration, and quick iteration for operational tooling.
Designing modular service boundaries, schema evolution, observability, graceful degradation & fault isolation.
Query modeling, indexing strategies, caching layers, connection pooling, and data lifecycle governance.
Build pipelines, secure delivery, container design, reverse proxy tuning, IaC patterns, monitoring & logs.
Latency‑aware deployment topologies, caching strategies, edge compute use‑cases, cost & perf balancing.
Safe high‑performance components, memory efficiency, bindings, and niche system utilities / microservices.
Lightweight network services, concurrent pipelines, worker pools, instrumentation & reliability patterns.
LLM integration, retrieval augmentation, structured tool calling, workflow orchestration, evaluation loops.
Progressive test layering, contract enforcement, perf baselining, and proactive error surfacing pipelines.
Practical defense‑in‑depth: input validation, least privilege configs, secret rotation and monitoring hygiene.
Composable acquisition & transformation chains, failure recovery, idempotency, monitoring & scaling.
Internal accelerators: dev ergonomics, metadata scrapers, scaffolds, repeatable environment setup.
Tech is a means to compound leverage. I choose tools based on reliability, clarity, ecosystem health, and operational cost. I bias toward boring for core systems and experimental for isolated value bets.
I emphasize: performance (fast cold paths, memory awareness), security (defense layers), maintainability (clear boundaries, docs), and automation (reduce cognitive overhead and manual toil).
This stack evolves — I periodically audit dependencies, retire deprecated layers, and test emerging runtime or AI-augmented workflows where ROI justifies adoption.