Start Small
AI Discovery Sprint → Prove Value Fast
Ciprian Cimpan delivers
AI-ready applications and senior engineering leadership for teams that need measurable progress in weeks, not quarters
Two-week discovery sprint to identify high-ROI AI opportunities, validate feasibility, and define an execution-ready plan.
Prioritized use cases mapped to business KPIs and owners
Feasibility assessment: data readiness, model fit, risk constraints
Architecture sketch covering data flow, guardrails, and cost envelope
Execution plan with milestones, dependencies, and delivery sequence
Clear go/no-go recommendations for each candidate use case
Focused modernization engagement to improve reliability, performance, security, and developer velocity.
Risk map across stability, scalability, and security
Refactor roadmap with effort-versus-impact scoring
Quick-win backlog for the next 1-2 delivery sprints
Performance and cost baseline with improvement targets
Delivery phase for production features: APIs, internal tools, workflow automation, LLM copilots, and RAG applications.
Weekly milestones and demos, with working software shipped from week one
Production-grade observability, cost monitoring, and reliability safeguards
Documentation and runbooks that support clean team handoff
Evals and guardrails for AI features where applicable
Part-time senior technical leadership for roadmap decisions, architecture governance, and execution oversight.
Quarterly technical objectives aligned with business goals
Architecture and vendor decisions with documented trade-offs
Execution governance through weekly review cadences
Monthly reporting with progress, risks, and next-step priorities
AI Discovery Sprint → Prove Value Fast
Modernization Assessment → Unblock A Roadmap
Build & Integrate → Ship Production Value
Fractional CTO → Keep Quality And Velocity High
Define business goals, timeline and deliverables.
Technical roadmap with clear milestones, risks & costs.
Short iterations with regular demos to keep you informed.
Handoff with documentation and deployment support.
Book a free call: let's identify your highest-ROI opportunity and map a plan to make it happen!
Senior full-stack software engineer for AI-ready products
I help founders and product teams ship production software that improves revenue, delivery speed, or operating margin.
My work spans backend APIs, modern frontends, cloud infrastructure, and pragmatic AI integrations (LLMs, RAG, and workflow automation). Every engagement is execution-focused: short discovery, decision-ready plan, then weekly milestones with visible progress.
You get senior engineering ownership from architecture to deployment, with clear trade-offs and measurable outcomes.

I optimize for the numbers you care about.
Revenue, conversion, cost savings, speed: your metrics improve, or we adapt the plan until they do.
Decisions made, not deferred.
I take the lead, make calls, solve challenges and always keep things moving.
You get production-ready software, deployed and working.
The right tool for the problem, every time.
Simple architectures over clever ones: AI where it moves metrics, proven reliability everywhere else.
Clean handoffs: you own the result fully.
Delivered in weeks, not quarters.
Short discovery → tight plan → tangible results fast.
You see progress constantly, course-correct early, and stay in control of budget and scope.
Ready for modern, scalable, and intelligent applications, refined through years of experience.
Systems that learn, adapt, and deliver value
Autonomous agents, RAG pipelines, custom LLMs, and more. Every AI solution is built for reliability, cost control, and measurable business impact.
Scalable systems that power your business logic
High-throughput APIs, event-driven architectures, and complex integrations: built clean, tested thoroughly, and adding value from day one.
From simple queries to billion-row analytics
Transactional databases, real-time analytics, and graph relationships: designed for the queries you run today and the scale you'll need tomorrow.
Interfaces that drive engagement
Responsive, performant frontends: from landing pages and dashboards to AI-powered experiences that keep users engaged and coming back.
Ship fast, stay observable, control costs
CI/CD pipelines, infrastructure as code, automated testing and monitoring to give your business velocity without sacrificing reliability.
Partners who trusted me to deliver, and came back for more
























A track record built one shipped project at a time
from MVP to enterprise
kickoff to working version
built for ROI, not prototypes
hired once, chosen again
We had a working prototype in nine days. I've waited longer for proposals from agencies. Ciprian just gets in there and builds.
Marco Silva
Founder, Solvara Health
I expected a pitch about machine learning. Instead, Ciprian showed us which three processes were costing us the most and automated the one with the fastest payback. Very practical, zero hype.
Anna Lindström
CEO, Cadwell Logistics
When the engagement ended, our team picked up the codebase on day one. Tests, docs, clear architecture, we didn't need a month-long knowledge transfer. That almost never happens with contractors.
Daniel Okafor
CTO, Stackmeld
The practical details decision-makers ask before kicking off a project
Fixed scope, clear price, no open-ended bills.
I price by engagement type, and every option has a defined scope and timeline.
Bring your budget range to a call and I'll tell you what's realistic.
Short discovery, then weekly delivery.
Every engagement starts with a focused discovery phase to define goals, success metrics, and deliverables. From there, I work in weekly iterations - each week ends with a progress update and, for build projects, a working demo. You stay informed at every step, and we adjust course based on your feedback.
Most projects kick off within a week.
After that, it's weekly demos and tangible progress every sprint.
Starting small is the best way in.
The AI Discovery Sprint and Modernization Assessment are designed as standalone two-week engagements - fixed scope, fixed price, full deliverable at the end. Many long-term projects start this way. You get a concrete result you can act on, and we both validate fit before scaling up.
You own everything. No exceptions.
All source code, documentation, and deliverables transfer to you upon payment. I sign NDAs for every engagement and work under your confidentiality agreements. Your data stays yours, handled according to your security requirements.
Written updates every week, working demos every sprint.
Each update covers progress, blockers, and next steps. For build projects, that includes a live demo of working software. I default to Slack or Teams for day-to-day communication and adapt to your tooling. You always know where things stand.
Yes - this is one of the most common starting points.
The AI Discovery Sprint is a two-week engagement built for exactly this. I assess your operations, data, and goals, then deliver a prioritized list of AI use cases mapped to your KPIs. You get a concrete plan for opportunities worth pursuing - and a clear pass on the ones that aren't. Every recommendation is grounded in feasibility, cost, and measurable business impact.
Absolutely. No engineering jargon required.
I work primarily with founders, product leaders, and executives. Every update is in plain language, focused on decisions: what's done, what's next, and where your input matters.
I plug into your workflow, not around it.
Standups, Slack channels, code review - I adapt to how your team already works. I contribute directly to the codebase, follow your conventions, and keep handoff smooth with tests, documentation, and practical knowledge transfer. The goal is to add senior capacity, not create a parallel workstream.
You get a complete handoff, ready for day one.
That includes documented code, deployment guides, and runbooks your team can pick up immediately. For build projects, I run a walkthrough session with your team. If you need support later - a quick fix, a follow-up phase, or a second opinion - I'm one message away.
Rarely a factor.
I work with clients across Europe, the UK, and North America. My core hours overlap with both EU and US-East business hours, and I adjust availability to match your team's rhythm. Async updates and weekly syncs keep delivery moving regardless of location.
Scope changes are expected - and managed.
Real projects evolve. I build in review checkpoints where we reassess priorities together. If something shifts mid-sprint, we evaluate the trade-offs - timeline, budget, feature depth - and realign before moving forward. You stay in control throughout.
A few details upfront means a sharper first conversation