Ship measurable product wins with a software engineer

Launch a testable MVP, scale APIs to sub-200ms, or add AI features that lift retention—on a predictable engineering cadence.

No obligation. NDA available. Limited to 2 client slots/month.

4 production apps · 60% faster releases · 99.9% crash-free

Solve your engineering bottleneck

Pick a bottleneck to see the approach and the business outcome.

Mobile backlog is blocking revenue

iOS and Android teams can't keep up with feature demands

Monolith can't scale

Single codebase bottlenecks deployment and performance

Checkout churn is killing growth

Slow APIs and poor UX losing customers at conversion

Data is siloed and unsearchable

Information trapped in separate systems

Flutter MVP development: iOS & Android from one codebase

Build a testable MVP fast without sacrificing native feel.

-40% engineering hours to first release

Challenge: slow dual-platform delivery.
Approach: shared logic, platform-specific UI, CI for both stores.
Result: cut cycle time 40% with 99.9% crash-free.

Productized engineering services

Fixed-scope, outcome-driven engagements—weekly progress tied to a clear KPI.

MVP Sprint

4 weeks
✓ Prioritized scope and sprint plan with demo dates
✓ Working MVP build and metrics plan
✓ Weekly Loom updates and test builds
✓ Release strategy and handover
Ideal for: Pre-seed to Series A teams validating PMF
Fixed price after a 20-min call (typical range available on request)

Scale & Reliability

3-4 weeks
✓ Latency and bottleneck audit with index strategy
✓ CI/CD pipelines with rollback playbook
✓ Performance goals and tracking plan
Audit guarantee: if we don't identify ≥20% p95 reduction opportunities, you don't pay

AI Infusion

4-6 weeks
✓ Use-case mapping tied to retention/activation
✓ Agent workflows and RAG + vector DB plan
✓ Analytics hooks and success metrics
✓ Security and evaluation checklist
Intelligence upgrade

Case studies: from bottleneck to business impact

Challenges, approach, and measurable results.

Vet Clinic Platform

Challenge—promo traffic caused 5% error spikes. Approach—event-driven Go services on Cloud Run with RabbitMQ and canary deploys. Result—0 downtime during promos, 10x traffic handled.

Go • RabbitMQ • Cloud Run • Flutter

Google ADK Contribution

Real-time agent graph viz; debugging from hours to minutes

Python • Graphviz • AI Agents

E-commerce API

Challenge—checkout drop-offs from 600ms API calls. Approach—indexed queries, caching, async I/O in FastAPI. Result—p95 184ms, +18% checkout completion.

FastAPI • MySQL • JWT

Outcomes that reduce risk and increase revenue

Metrics from recent projects

0
P1 incidents (18 months)
99.9%
Crash-free sessions

De-risked delivery process

Clear milestones from discovery to launch

1

Discovery call

20 min → hypothesis & scope

2

Technical audit

48h → risk map & plan

3

Sprint plan

milestones & demo dates

4

Build with weekly demos

weekly Looms, test builds

5

Launch, docs, and runbooks

docs, runbooks

Get a technical roadmap in 48 hours (risks, fixes, timeline)

Reply within 24h—often with a Loom and a roadmap.

Share stack, current bottleneck, and your success metric (e.g., p95 <200ms, +X% conversion).

NDA available. 100% code and IP ownership remains with you.