How I Work
Not an Agency. Not a Freelancer. A Senior Engineer You Hire Directly.
Most build engagements end with scope creep, technical debt, and code your team can't maintain. Mine end with production systems, clean architecture, and documentation your next hire can read.
Freelance Marketplace vs. Dev Agency vs. Direct Senior Build
You already know you need engineering work shipped. The question is who ships it. Here's how the three most common paths compare on timeline, who actually delivers the code, and what you're left with at the end.
Freelance Marketplace
- Timeline to value
- Depends on who you find
- Who delivers
- Junior-to-mid level builders
- Commitment
- Hourly, no skin in the game
- What you get
- Code (quality varies)
- Ideal when
- You need cheap labor and can QA it yourself
Dev Agency
- Timeline to value
- 2–4 weeks to kickoff
- Who delivers
- A team you didn't interview
- Commitment
- Project-based, high overhead
- What you get
- A system (built to agency patterns, not yours)
- Ideal when
- You need a full team and have budget
Direct Senior Build
(What I Do)
- Timeline to value
- Week 1
- Who delivers
- Me. Every line.
- Commitment
- Fixed project or monthly retainer
- What you get
- Production-ready systems, architecture you can maintain, documentation that's actually useful
- Ideal when
- You need senior work delivered, not managed
How I Operate
Four non-negotiables that shape every build. These aren't aspirations — they're the working agreements I put into the written proposal from day one.
I Build for the Long Term, Not the Demo
Your system has to run after I leave. I build with that in mind — clear architecture, tests that matter, and documentation your team can actually use.
Proven Patterns Over Fashionable Ones
Cutting-edge where it creates value; battle-tested tools everywhere else. Your production environment isn't a laboratory.
I Leave Your Codebase Better Than I Found It
If you're hiring me into an existing system, you shouldn't inherit more mess. I refactor as I go, document what I touch, and leave patterns your team can follow.
Measured on Outcomes, Not Hours
In the scoping phase, we agree on what 'done' looks like. That's how I know when to hand off, and how you know you got what you paid for.
Ways to Engage
Three build engagements, depending on what you need shipped. The middle one — Infrastructure Build — is the signature engagement, where most projects land.
POC / MVP Build
Best For
You need a working proof-of-concept or AI/RAG prototype shipped in 2–4 weeks.
Commitment
Fixed price, locked scope
What You Get
A deployed, working system — TypeScript/Next.js, Python, AWS serverless, or Bedrock/Claude AI pipelines. Code, infrastructure, and documentation.
Infrastructure Build
Signature Engagement
Best For
You need a production-ready AWS environment — landing zone, IaC (CDK or Terraform), CI/CD pipelines, security baselines.
Commitment
Fixed project (2–6 weeks) or monthly retainer
What You Get
I personally architect and build your AWS foundation — multi-account setup, IAM, networking, deployment pipelines. You get infrastructure your team can grow into, not a mess they inherit.
Senior Engineering Retainer
Best For
You need ongoing senior engineering capacity — feature development, architecture decisions, infrastructure work — without a full-time hire.
Commitment
Monthly retainer, ~80–120 hours/month
What You Get
A senior engineer embedded in your workflow. I write code, review PRs, own infrastructure, and make architectural calls. You get me, not a team.
What Does a Senior AWS Cloud & Product Engineer Actually Do?
Most engineers do one thing well. I sit at the intersection of infrastructure, product, and delivery — which means fewer handoffs, fewer gaps, and systems that actually work for your users.
As Your Cloud Infrastructure Engineer, I:
Design & Build Your AWS Foundation
- •Architect your multi-account AWS environment (landing zones, Organizations, SCPs)
- •Write all infrastructure-as-code in CDK or Terraform — no clickops, no one-off console changes
- •Design your network topology (VPCs, Transit Gateway, Direct Connect, VPNs)
- •Set up IAM with least-privilege patterns, role boundaries, and identity federation (Okta/SSO)
- •Configure security baselines: GuardDuty, Security Hub, Config, CloudTrail, WAF
- •Build your CI/CD pipelines (GitHub Actions, CodePipeline) with automated testing, security scanning, and deployment gates
Keep Your Cloud Running and Healthy
- •Instrument observability: CloudWatch dashboards, alarms, distributed tracing
- •Design and test your DR/failover strategy — not just documented, actually tested
- •Audit and optimize your AWS spend (Reserved Instances, Savings Plans, right-sizing, S3 tiering)
- •Harden every layer against the OWASP Top 10, CIS benchmarks, and your specific compliance requirements
Leave You Better Than I Found You
- •Document every architectural decision (ADRs) so your next engineer understands why, not just what
- •Write runbooks for your on-call team
- •Build your infrastructure so your developers can self-serve without needing a cloud expert in the room
As Your Product Engineer, I:
A product engineer sits at the intersection of technical execution, user experience, and business strategy. I don't just take a spec and write code — I help figure out what to build and why, then personally build it end-to-end.
Validate the “Why” Before Writing a Line of Code
- •Work alongside you to analyze user feedback, usage analytics, and support tickets to surface what actually needs to be built
- •Challenge specs that don't map to a real user problem
- •Define what “done” looks like before we start, so there's no scope creep at the end
Build End-to-End, Front to Back
- •Write frontend code (TypeScript, React, Next.js) and backend APIs (Node.js, Python) — not one or the other
- •Prototype UI/UX ideas quickly and iterate based on what users actually do, not what we think they'll do
- •Integrate third-party APIs, webhooks, and data pipelines without duct tape
- •Deploy to AWS using the same infrastructure patterns I use for cloud-only engagements — serverless, containerized, or hybrid
Build AI/RAG Features That Actually Work
- •Design the data ingestion pipeline: chunking, embedding, vector storage (Bedrock, OpenSearch, Pinecone)
- •Build the retrieval and ranking layer so your AI answers are accurate, not hallucinated
- •Wire it into your product as a real feature users interact with — not a demo that only works in PowerPoint
- •Implement cost guardrails and observability so you know what your AI features cost and when they're misbehaving
Iterate on Metrics, Not Gut Feel
- •Instrument your features with usage telemetry so we know if they're working
- •Set up the A/B testing or feature-flag infrastructure to safely ship changes to a subset of users
- •Bring you data after launch, not just a “shipped” ticket
Bridge Technical and Business Goals
- •Translate your business constraints (budget, timeline, compliance) into technical tradeoffs you can understand and decide on
- •Tell you when a feature will create technical debt — and tell you whether that tradeoff is worth it for your stage
- •Write code that your next engineer can maintain, even if that engineer is a junior
How This Compares to Other Options
| What You Need | Typical Freelancer | Dev Agency | Me |
|---|---|---|---|
| AWS infrastructure built right | Hit or miss — depends who you find | Project managed, then handed off | Personally architected and built by me |
| Full-stack product features | Frontend or backend, rarely both | A team of specialists who don't talk to each other | End-to-end, front to back, by me |
| AI/RAG prototype in 2–4 weeks | “We can try” | 3-month SOW, $150K | Working system, fixed price, deployed |
| Architecture decisions | Junior-to-mid judgment | Account manager relays questions | 35 years of judgment, in the room with you |
| Documentation your team can use | Maybe | Formal handoff doc | Runbooks, ADRs, inline comments — built as I go |
| Who's actually building | Unknown | A team you didn't interview | Me. Every line. |
Ready to talk about your build?
30-minute intro call. No pitch — a real technical conversation about your stack, timeline, and whether I'm the right fit.