I work with small and mid-size businesses that need senior, hands-on engineering for AI pipelines, modern web apps, AWS backends, and integrations that hold up in production.
Typical work: MVP builds, platform cleanups, AWS cost-and-security fixes, AI/document pipelines, internal automation, and ongoing feature delivery.
Good fit for founder-led products, internal tools, and SMB teams that have real delivery pressure but don't want a long consulting cycle. Direct delivery, short feedback loops, and a scoped plan that stays readable for non-technical teams.
The goal is movement: ship the feature, stabilize the system, automate the bottleneck, or make the architecture easier to live with.
Design and implement scalable backends with clean infrastructure-as-code and secure authentication.
Modern React apps with fast UX, clear state management, and maintainable, well-structured code.
Connect the tools your business already uses and eliminate manual work with reliable workflows.
Turn PDFs and scans into structured data, searchable content, and clean, reliable reports.
Ground LLM responses in your private data with fast retrieval and clear, checkable citations.
Fix authentication gaps, tighten IAM permissions, and improve auditability and reliability.
Unblock a stuck team: fix production issues, performance, cost, and flaky pipelines fast.
Most client work is private, so these examples focus on the systems, delivery scope, and outcomes rather than brand names.
A workflow that ingests PDFs, extracts key fields and tables, and generates consistent outputs for downstream systems.
A retrieval system that ingests private documents, indexes them, and grounds answers with citations.
Subscription tiers and usage-based tracking integrated with Stripe and backend enforcement.
A customer-facing React app with secure auth, APIs, and a clean CI/CD path.
Diagnosed reliability issues, reduced cloud spend, and improved monitoring and alerting.
Structured enough for decision-makers, concrete enough for engineers who need the details.
Quick call: goals, constraints, success metrics, and scope.
Architecture outline, milestones, timeline, and estimate.
Ship incrementally with demos, QA, and clear handoffs.
Docs, monitoring, training, and optional ongoing iteration.
The best inquiry mentions the constraint, deadline, and how success will be measured. That makes scoping faster and the first reply more useful.
The contact form has its own direct path, so you can link people straight to the inquiry page from posts, emails, or ads.