Services

Architecture, reliability, and systems clarity

I design and evolve platforms that must remain stable, observable, and understandable under growth, concurrency, and changing business requirements.

About

Long-lived software environments need explicit structure.

Software architect and systems engineer with more than 12 years of experience designing and maintaining high-scale platforms, distributed systems, and long-lived software environments.

My work emphasizes maintainability, correct data modeling, predictable behavior, and the reduction of operational complexity over time.

I specialize in stabilizing, scaling, and extending complex systems without compromising clarity or long-term integrity.

Work & experience

Strategy, implementation, and infrastructure at production scale.

Technical strategy and implementation for platforms serving audiences in the millions.
Distributed media pipelines for processing, metadata extraction, analytics, and reporting.
Internal frameworks and front-end architectures that enforce consistency across products.
Attribution, optimization, and behavioral data systems for high-volume growth environments.
Execution environments for algorithmic research, backtesting, and deterministic workflows.
Observability layers, structured logging, error taxonomies, and reliability programs.

Advanced competencies

Formal reasoning for systems that cannot rely on intuition alone.

-Mathematical modeling for system behavior, complexity boundaries, and scaling curves.
-Algorithmic framing with explicit performance and correctness tradeoffs.
-Data and schema normalization for long-term model integrity.
-Statistical analysis for multi-source attribution and trend isolation.
-Information theory and entropy reduction in distributed pipelines.
-Latency budgets, throughput ceilings, memory discipline, and capacity planning.

Systems capabilities

Backend, media, data, AI, attribution, and infrastructure.

The work spans implementation and architecture: service contracts, queues, streaming media, analytical stores, semantic systems, deployment lifecycles, and operational recovery.

Backend & distributed systems

Service architectures, event-driven pipelines, queueing systems, typed APIs, concurrency models, cluster coordination, and deployment lifecycles.

Media & streaming

FFmpeg pipelines, HLS/DASH packaging, subtitle and metadata enrichment, CDN-aware delivery, and QoS telemetry for playback systems.

AI / ML / algorithmic systems

Embedding search, RAG pipelines, vector indexing, semantic retrieval, model chaining, and feature engineering for behavioral data.

Advertising & attribution

High-budget media operations, signal integrity, campaign automation, attribution models, compliance, and growth data engineering.

Tools & technologies

A pragmatic stack for systems that need to survive change.

Languages

TypeScriptJavaScriptPythonGoRustC++ / CC#

Front-end

ReactNext.jsSvelteKitAstroRemixVueTailwindInternal design systems

Data & Storage

PostgreSQLMySQL / MariaDBClickHouseDuckDBRedisElasticsearchOpenSearchS3 / R2

Infrastructure

DockerNGINXTraefikCloudflare WorkersCI/CDPrometheusGrafanaLokiTempo

Current focus

Stable, correct, observable systems under continuous growth.

Deterministic execution

Systems where memory behavior, failure boundaries, and correctness must be explicitly understood.

Multi-region distribution

Content and traffic platforms with millions of daily users and median latencies in the 40-60ms range.

Stable data models

Schemas designed to persist for years without breaking lineage or operational continuity.

Systemic simplification

Reducing entropy so systems can grow without becoming harder to operate.

Approach

Endurance is the hardest thing to build.

Everything I build has one priority: make systems last, scale, and remain understandable as complexity, traffic, and operational demands increase. The emphasis is data integrity, deep observability, realistic cost, maintainability, and consistency of execution at every layer.