Consulting & Artificial Intelligence
AI Architecture · Governance · Agentic Automation · Education
Who I am in one paragraph
Twenty‑one years in software, a Ph.D. in machine learning, and production models now running in millions of consumer devices. Former Head of AI at HTEC, organizing AI infrastructure for 2000+ people; today an independent consultant. I design AI ecosystems, audit half‑built ones, steer teams, and craft curricula that stick—from engineers in the IDE to executives in the boardroom. Implementation is your team’s job; ensuring the blueprint is correct (and teachable) is mine.
Selected impact
- Retail‑giant agentic architecture – Agent swarm orchestrating workflows across four countries; compliance layer baked in, models hot‑swappable; guidelines, policy, protocols, monitoring and control, education all in a single architecture to support a multi-billion-dollar international company.
- 2000‑engineer up‑skilling – End‑to‑end AI education program: LMS curation, automated exam bots, mentor train‑the‑trainer pipeline.
- RFP accelerator – NLP pipeline that drafts first‑pass responses; 70% time and cost cut for a global pump‑and‑compressor manufacturer.
- Super‑resolution firmware – CNN inference on embedded DSP; now shipping in millions of consumer devices (Fortune‑50 NDA).
Check my home page for an exhaustive list.
What I deliver
Strategy
solution analysis
Screening (2-5 d) → discovery (2-8 w) → current-vs-future roadmap. You get a crystal-clear “why, what & when” before any build starts.
Architecture
platform design
Vendor-neutral blueprints, IaC (Terraform / Helm), CI/CD(ML) and observability—cloud, on-prem or hybrid. Delivered with diagrams, risk register and cost model.
Governance
compliance & risk
Gap analysis against GDPR, HIPAA, PCI-DSS and local regs. Outputs: maturity scorecard, policy pack, phased remediation plan and budget envelope.
Agentic
automation
Multi-agent systems that read policies, draft code, triage tickets and self-critique. Swap models at will—architecture isolates checkpoints from workflow logic.
Education
enablement
Hands-on workshops, exec briefings, LMS curricula, automated exam bots and mentor-the-mentor pipelines—proven across 2 000 engineers.
Bespoke
advisory
Pick-and-mix sessions—architecture reviews, bias audits, agent prototypes, exec coaching—tailored to thorny, one-off constraints. Ad-hoc or retainer.
Engagement models
Mode | Phases & duration | Typical deliverables |
---|---|---|
Full‑solution audit & redesign | Screening 2‑5 d → Discovery 2‑8 w → Architecture & Governance → Report & roadmap | Diagrams, policy pack, SRS, cost model, implementation spec |
Targeted consulting | Screening 2‑5 d → Bespoke sessions (on‑site / remote) Sprint‑priced, milestone‑invoiced |
Meeting notes, risk list, action items, optional code snippet |
Education track | Screening 2‑5 d → Curriculum design → Delivery (workshops, LMS, mentoring) | Course materials, recorded sessions, progress analytics |
Pricing —milestone or time‑and‑materials once KPIs are locked; flexible thereafter. Ongoing support can be retained under a separate SLA.
Toolchain & stacks
Languages & core libs: Python · C# · C++ · Rust · PyTorch · TensorFlow · JAX · Triton
LLM & agent frameworks: LangChain · LlamaIndex · AutoGen · CrewAI · Semantic Kernel · Ray Serve · custom chains
Models & services: GPT-4o / o-series · Claude 4 Sonnet / Opus · Gemini 2.5 Pro · Mistral Large · Phi-3 · DALL·E 3
DevOps & observability: MLflow · Weights & Biases · Airflow · Kubernetes · Helm · Terraform · Docker · Grafana · Prometheus
Cloud & vector infra: Azure · AWS · GCP / Vertex AI · Hugging Face Hub · Pinecone · Weaviate · Qdrant · Chroma
Coding AI & assistants: ChatGPT · Claude.ai · GitHub Copilot / Copilot Chat · Code Interpreter · NotebookLM
Custom-built AI toolchains and assistants and whatever tomorrow brings.
Why me, not a big consultancy?
- You speak with the principal, not a pyramid of juniors.
- Two decades hands‑on—I see the failure modes coming.
- Original method and approach documented in Engineering Intelligence (100‑page deep dive into an integrated system for developing hybrid intelligence) and a shorter summary essay Epiphanies on AI & Cognition.
- Education pedigree: university lecturing, 2 000‑engineer enablement at scale, dozens of conference talks
- NDA‑friendly; security‑clearance ready.
Frequently‑asked questions
Bias audits, anonymization, synthetic counter‑samples, anti‑bias agents, rule‑based post‑filters, and—crucially—human reviewers on the critical path. Techniques are documented in the Engineering Intelligence playbook.
A cross‑disciplinary lens—music theory to mechanics—plus two decades of shipping code. The result is systems that work and teams that understand why. My approach is broader than just AI—it is integrative hybrid intelligence.
Let’s build something great.
Ready to start the conversation? Get in touch to schedule a discovery call.