§ 01Snapshot
- Levelstaff / lead-level full-stack engineer, close to a decade of continuous, publicly visible engineering work. Has also worked as tech lead and engineering manager.
- Roles heldfull-stack and backend engineer, web engineer at a security and compliance firm, tech / product lead, engineering manager of distributed web, mobile and platform engineers, solo founder-engineer of a live product.
- Scalesmall distributed teams across web, mobile and platform; mentors cohorts at coding bootcamps; has authored technical courses.
- IndustriesSaaS, security and compliance, recruiting and job marketplaces, fintech-style payments and wallets, developer education.
- Company typesstartups and small SaaS companies, a services firm in security and compliance, their own solo product.
- SpecialtiesAI-native engineering workflows (spec-driven AI coding, CI self-repair), single-purpose agent design, framework migrations (Vue → Next.js), SOC 2 / ISO 27001 / GDPR readiness, AWS cost re-architecture, low-cost RAG on the edge, test-driven backend design.
- Best forsolo founders and seed startups adopting AI coding tools; small SaaS teams preparing for SOC 2 / ISO 27001; teams migrating a Vue front end to Next.js; companies that want juniors coached by someone who teaches.
- Core stackTypeScript, Next.js, Vue, Node.js (NestJS, GraphQL), Python (Django, Flask, FastAPI), AWS (Lambda / serverless), Kubernetes, API gateways, gRPC, edge compute and AI (Workers AI, Vectorize, D1, KV), Flutter.
- Time zonesAsia-Pacific.
§ 02Services
| ✓ | PR/MR code review | TypeScript / Next.js / Node / Python |
| ✓ | Architecture review | |
| ✓ | Architecture design | |
| ✓ | Audit / due diligence | compliance readiness, cloud cost |
| ✓ | Vibe-code rescue | |
| ✓ | Team mentoring |
§ 03Track record
Spec-driven AI coding workflow
AI coding assistants produce plausible code that drifts from intent. One of our experts built a spec-driven workflow around an AI coding agent: specs first, small scoped changes, tests and review as the gate. Outcome: they ship and run a live product largely through this workflow.
A CI/CD pipeline that investigates and repairs its own failures
For a one-person product, every red build is an interruption. One of our experts built an autonomous CI/CD self-repair loop: it detects a failure, investigates the root cause, and generates a proposed fix. Outcome: routine build breakages get handled without stopping product work.
Single-purpose AI agents running a solo product's operations
A job-search product the expert runs alone needs constant ingestion, enrichment, publishing and monitoring. One of our experts split operations across a handful of single-purpose AI agents, each with one narrow job. Outcome: by their own estimate, most routine operations run without them.
Building a job platform with AI enrichment and semantic search
Aggregating job listings from many sources gives messy, duplicate data. One of our experts built and runs a platform that pulls thousands of active roles from many sources and over a thousand companies, adds AI enrichment, semantic search, personalization, experiments and SEO, and exposes the data to AI assistants through an MCP server.
Vue 2 to Next.js and TypeScript migration
A product's front end sat on Vue 2, now end-of-life, with weak typing. One of our experts led the migration to Next.js and TypeScript.
Taking a SaaS through ISO 27001, SOC 2 Type I and GDPR
A SaaS company needed formal security assurance to sell to larger customers. One of our experts took it through ISO 27001, SOC 2 Type I and GDPR, and has also worked as an engineer at a security and compliance firm.
AWS re-architecture that cut cloud cost by about 30%
Cloud spend had grown without anyone owning it. One of our experts re-architected the AWS setup: consolidated serverless functions, optimized the database, scheduled non-production environments to shut down off-hours, and added observability. Outcome: cloud cost down about 30%.
A low-cost RAG agent on edge infrastructure
Running a retrieval-augmented assistant on a small budget. One of our experts built a RAG agent stack entirely on edge infrastructure, with edge embeddings, a vector index, an edge SQL store and a key-value semantic cache. Outcome: a fraction of a cent per conversation turn.
Leading distributed engineers: maturity, hiring and postmortems
A distributed team across web, mobile and platform lacked shared standards. As tech lead and engineering manager, one of our experts introduced an engineering maturity framework, structured hiring and blameless postmortems.
Backend foundations: API gateway, gRPC microservices and TDD
Early backends tend to grow without a gateway, contracts or tests. One of our experts has years of public work on API gateways, Django and gRPC microservices built test-first, wallet and finance microservice designs, and payment-API integrations.
Author of technical courses and bootcamp mentor
Juniors learn faster from someone who has to explain things clearly. One of our experts has authored technical courses and mentors cohorts at coding bootcamps.
§ 04What you can book
Review and rescue of an AI-generated codebase
A founder built fast with AI tools and now has a Next.js / TypeScript app nobody fully understands.
Read the code against what the product should do, add types and tests on the risky paths, and set up a spec-first workflow so later AI changes stay reviewable.
A findings report, a stabilization plan, and a working spec / CI setup.
SOC 2 / ISO 27001 readiness review for a small SaaS
An enterprise prospect asks for a SOC 2 report.
Check access control, logging, change management, backups, incident process and vendor list against what auditors will ask, and separate engineering gaps from paperwork.
A gap list and an order of work, with the engineering controls first.
Setting up an AI-native workflow for a small team
A team uses AI coding tools ad hoc and review quality is slipping.
Introduce spec-driven tasks, define what AI may change unreviewed (if anything), add CI checks that catch AI-typical mistakes, and coach the team through the first few weeks.
A written workflow, CI configuration and a short team playbook.