Initializing Enterprise AI Runtime...
Software Systems · AI Infrastructure · Open Source
I build companies and the systems behind them—from product direction and software architecture to automation, AI infrastructure, and production delivery. This site is the public record of my work, open-source contributions, and the experience that shaped how I operate.
AI-accelerated execution. Human-directed judgment.
Technical depth with commercial context — connecting runtime behavior and system architecture with product value, customer impact, and execution.
Organizing systems depth, AI leverage, product delivery, and commercial execution into one high-velocity multidisciplinary discipline.
Distributed systems, AI infrastructure, low-latency runtimes, compilers, performance, memory/concurrency, and production debugging.
Production AI agents, tool-using workflows, OpenClaw, Hermes, LangChain, custom agent stacks, API orchestration, and human-in-the-loop control.
Architecture, MVP to production delivery, technical product execution, API/backend/frontend integration, and reliable operational platforms.
Founder-led execution, business development, sales, go-to-market strategy, commercial positioning, branding, and digital systems.
Regression-tested, locally validated, and built for production durability across every engagement.
Deep systems engineering across distributed runtimes, AI infrastructure, and production architectures — each with merged code and public evidence.
Delivered 10 native international language portals with zero static generation errors
Two independent contributions received human maintainer approval and merged into Microsoft’s upstream repository
Delivered a stable, resource-aware private inference path running Qwen3 4B that fits within 7.6 GiB host RAM
Campaign Director integrated into the existing application stack without replacing production boundaries
Reworked critical asset, generation, billing, and authentication paths so product behavior was backed by durable infrastructure rather than interface-only state
Separated commercial campaign orchestration from shot-level prompting into two non-competing canonical authorities
Decoupled non-transactional AdminSplitRequest side-effects from uncommitted transactions
Only company in Eindhoven with instant fixed pricing and 60-second booking — 0 of 5 competitors offer this
Capital One upstream PR #552 adopted the runtime object dispatch architecture, explicitly crediting @patrickswedish / #548
Vercel factory PR #18662 merged the accepted fix upstream on August 11, 2026
Anthropic confirmed that the same fix shipped in SDK v0.116.0
The maintainer directly merged PR #26 into the independent project’s main branch
Four maintainers approved the final revision before merge
Queries aggregating in-memory tables with stricter nested nullability now succeed as expected
Every project includes regression tests, local build verification, and documented outcomes.
Contributing fixes and regression coverage to production software across AI infrastructure, developer tooling, compilers, SDKs and distributed systems.
Corrected TopNRowNumber in-memory execution so rows are emitted in ascending rank order within each partition, aligning with WindowNode and the spilled execution path.
Corrected X86 SelectionDAG demand analysis so non-power-of-two integer division vectors remain available for vectorized lowering when every result lane is demanded.
Prevented stale Monaco callbacks from overwriting newly loaded sample configuration during synchronous editor updates.
Recursive nested schema adaptation at the MemoryStream producer boundary, resolving runtime type mismatch errors during aggregation of in-memory tables with stricter nested nullability.
Fixed Windows project path conversion so Han matches Claude Code's project-directory slug format, including drive-letter colon and path separator handling.
Small, testable upstream fixes designed around existing architecture, deterministic regression tests, and repository conventions.
The stack follows the problem. AI expands delivery breadth; builds, tests, reviews, and target-system conventions establish correctness.
OpenAI
OpenAI's flagship frontier reasoning family: GPT-5.6 Sol, o3, and o3-mini. State-of-the-art autonomous agentic coding, deep research, Realtime API, and multimodal reasoning.
Anthropic
Anthropic's premier frontier reasoning flagships: Claude 5.5 Sonnet & Claude 5 Opus featuring dynamic hybrid extended thinking, Computer Use API, and top-tier code execution.
Google DeepMind
Google's ultimate frontier multimodal models: Gemini 3.6 Flash & 3.6 Pro featuring native real-time audio/video processing, 2M+ context window, and deep research agents.
xAI
xAI's frontier reasoning models trained on the Colossus GPU cluster. Features real-time live data grounding, uncensored logic, and math/coding benchmarks.
Cohere
Cohere's enterprise reasoning flagship models, Embed v3, and Rerank 3.5 engineered specifically for multi-step tool use, enterprise search, and complex document intelligence.
01.AI
01.AI's premier open-weights model family engineered by Dr. Kai-Fu Lee. High-throughput bilingual reasoning, coding, and mathematical benchmark performance.
Z.ai (Zhipu AI)
Z.ai's frontier open multimodal model series featuring GLM-4 and GLM-4V with advanced agentic tool call execution, code synthesis, and long-context processing.
Meta AI
Meta's world-leading open-weights model family (Llama 4 8B to 405B parameters). Native vision, instruction tuning, fine-tuning, and scalable enterprise self-hosting.
DeepSeek AI
Breakthrough open-weights reasoning (R2) & MoE architecture (V4 671B) matching closed frontier models on math, code & logic at low unit costs.
Mistral AI
Europe's premier open & commercial frontier models: Mistral Large 3, Codestral 2 (SOTA dedicated code model), and Pixtral Large vision.
Alibaba Cloud
Alibaba's benchmark-topping open model family: Qwen 3 Coder (SOTA open coding model), Qwen 3.7, and Qwen 3-VL vision-language models.
Moonshot AI
Kimi frontier long-context reasoning models featuring Kimi k3 & k2 with 2M+ token lossless context processing, deep math logic, and multi-step agentic tool orchestration.
MiniMax AI
Frontier multimodal reasoning & ultra-long context models featuring MiniMax 3 & MiniMax-Text with native voice, video synthesis, and agentic intelligence.
Hugging Face
The central ecosystem for 1M+ open models, TGI container engines, vLLM acceleration, dataset pipelines, and serverless Inference APIs.
AI21 Labs
AI21's hybrid SSM-Transformer architecture delivering 256K context windows, ultra-fast enterprise search, RAG retrieval, and structured output generation.
Groq
Language Processing Unit (LPU) silicon delivering 500+ tokens/sec deterministic inference for real-time agentic execution.
Cerebras Systems
Wafer-Scale Engine (WSE-3) instant AI inference serving Llama & DeepSeek at an unprecedented 1,800+ tokens/sec.
Together AI
High-speed API for DeepSeek V4/R2, Llama 4, Qwen 3.7 & custom fine-tuned model hosting with sub-100ms TTFT.
Ollama
Local inference engine running DeepSeek R2, Llama 4, Qwen 3 Coder, and Mistral with private loopback networking and offline execution.
NVIDIA
NIM microservices, TensorRT-LLM inference acceleration, and GPU-optimized container runtimes for enterprise scale.
Amazon Web Services
Managed enterprise access to Claude 5.5, Llama 4, Mistral, and Amazon Nova Premier models with VPC security & Guardrails.
Microsoft Azure
Enterprise OpenAI models (GPT-5.6, o3, o4) with Azure SLAs, private VNet networking, HIPAA & SOC2 compliance.
Google Cloud
Enterprise AI platform hosting Gemini 3.6 Flash & 3.6 Pro, custom tuned models, vector search, and Vertex Agent Builder.
I speak with founders, operators, technical teams, partners, and serious collaborators when there is a real problem to solve or a credible opportunity to build.
Share what you are working on, why it matters, the current stage, your role, and the practical budget or timing if known. I work best where there is commercial intent, access to decision-makers, and a clear next step.
If there is a credible fit, I will reply directly.
Principal Systems Architect & Founding Engineer
