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Scaling Autonomous Agent Infrastructure & Full-Stack Automation Engines
Architect high-throughput AI agent infrastructure and build AI-native companies, software systems, automation platforms, and digital products from strategy through production. Turning expensive operational problems into secure, reliable systems that can be measured, maintained, and scaled.
“The value of an AI agent is proportional to the size and complexity of the tasks it can complete without human intervention.”
“The edge is not access to AI. The edge is controlling the system that turns AI into execution.”
Delivering high-leverage software solutions designed around real users, constraints, security, and measurable business outcomes.
Agent platforms, retrieval systems, evaluations, guardrails, model routing, and human-in-the-loop control.
Production solutions shaped around real users, workflows, constraints, and business outcomes.
Model serving, observability, data pipelines, deployment systems, reliability, and cost control.
Internal developer platforms, APIs, cloud architecture, CI/CD, infrastructure as code, and secure operations.
Multi-step workflow engines, tool orchestration, document pipelines, integrations, and exception handling.
High-quality product interfaces backed by dependable AI, data, and distributed-system foundations.
Luxury-caliber visual systems, editorial composition, interaction, motion, and polished product experiences.
I work across proprietary and open-model ecosystems, provider APIs, model hubs, and accelerated inference platforms—selecting models by capability, reliability, latency, privacy, and operating cost rather than brand loyalty.
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. 100% private, zero latency, offline execution.
NVIDIA
NIM microservices, TensorRT-LLM acceleration, and Blackwell B200 / H100 GPU cluster orchestration 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.
Programming languages, framework ecosystems, cloud infrastructure, and AI systems I architect and build across in production.
Technology is selected strictly for business impact, P99 latency SLAs, and operating unit economics rather than tech novelty.
Identifying exact operational bottlenecks, framing ROI targets, and setting strict latency/financial boundaries before writing a line of code.
Selected systems
AI infrastructure, product engineering, agent architecture, and production reliability — verified through working systems and observable evidence.
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
Delivered a reusable commerce-intelligence workflow aligned with the API operating contract
Delivered an end-to-end authority and risk map for the autonomous execution surface
Evidence over claims. Every case study above is classified by what was actually verified — not by title, outcome, or scale.
I only respond to defined commercial projects with a realistic budget and a clear next step.
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Principal Systems Architect & Founding Engineer
