Services
From “should we invest in AI?” to “it's live in production.”
I work across the full value chain — strategy, architecture, and build. Most consultants do one of these. I do all three, which is the only way to avoid the gaps that kill AI initiatives.
What I Do
Three capabilities. One value chain.
Strategy without execution is a deck. Execution without strategy is expensive rework. I do both.
Digital Transformation
Legacy systems weren't designed for AI. I lead the full modernization: architecture audit, migration planning, and execution. The goal isn't modernization for its own sake — it's building the infrastructure your AI ambitions actually need.
- AI Readiness & Architecture Audit
- Monolith to Microservices Migration
- Event-Driven Pipeline Design
- Platform Modernization & MLOps
- Zero-Downtime Migration Playbooks
- Performance & Reliability Tuning
AI Strategy & MLOps
I help companies make the right AI bets before spending money on the wrong ones. Use case prioritization, feasibility analysis, build vs. buy decisions, and production ML pipelines. I stay until models are running — not just until the deck is done.
- AI/ML Feasibility Studies
- Use Case Prioritization & ROI Modeling
- Build vs. Buy vs. Partner Decisions
- MLOps/LLMOps Pipeline Design
- Production ML System Development
- Model Monitoring & Drift Detection
Technical Leadership
Fractional CTO and hands-on engineering leadership for companies navigating complex transformations. I don't advise from a distance — I make decisions, push back on bad calls, and build your team's capability to own the outcome.
- Fractional CTO / Tech Advisory
- Technical Due Diligence
- Engineering Strategy & Roadmap
- Hiring & Team Structure Advisory
- Knowledge Transfer & Team Enablement
- Agile Process Implementation
Technology Domains
Deep expertise where it matters most.
Across AI, distributed systems, cloud infrastructure, and product engineering.
AI Strategy & MLOps
Production-grade AI from strategy to deployment. I design the roadmap, build the pipelines, and ensure your models deliver business value — not just research results.
Microservices & Platform Engineering
Transform legacy monoliths into scalable, observable systems. Event-driven architectures, API gateways, and cloud-native platforms built for reliability and team autonomy.
Distributed Systems & Infrastructure
High-throughput APIs, real-time event pipelines, and fault-tolerant infrastructure. Built to handle enterprise load and recover from failure without waking anyone up at 3am.
Product Engineering
Full-stack engineering in Go, Python, and Node.js. Systems that scale and that your team can understand, maintain, and extend.
Cloud Infrastructure
Cloud migrations, Kubernetes, Infrastructure-as-Code, CI/CD pipelines, and SLO-driven reliability engineering.