A selection of recent client engagements.
Every engagement is scoped, time-boxed, and designed to leave the client team stronger. Filter by category to see the kinds of work that map to your situation.
- AI & LLM2025
RAG-powered support copilot
Series B SaaSDesigned and shipped a retrieval-augmented support assistant grounded in 40k internal docs, reducing median ticket handle time by 38%.
- Cut median handle time 38%
- Sub-2s P95 retrieval latency
- Eval harness owned by in-house team
PythonOpenAI / LLM APIsRAG PipelinesVector DBsPostgreSQL - Fractional Leadership2024
Fractional CTO through Series A
Pre-seed → Series A fintechEmbedded as fractional CTO for 14 months: built the engineering org from 2 to 11, set technical direction, and led the technical diligence for an $18M Series A.
- Hired 9 engineers across infra, product, ML
- Led technical diligence for $18M raise
- Defined 18-month architecture roadmap
TypeScriptPythonAWSPostgreSQL - Architecture Audit2024
Scaling audit for a B2B marketplace
Series B marketplaceThree-week architecture and reliability audit ahead of a 5x traffic event. Delivered a prioritized 90-day remediation plan adopted in full.
- Identified 4 critical scaling risks
- 90-day remediation plan adopted
- Survived launch with zero P1 incidents
PostgreSQLAWSKubernetesTerraform - Platform & Infra2023
Monolith-to-services migration
Healthtech scale-upLed a strangler-pattern extraction of three high-churn domains from a 9-year-old Django monolith with zero customer-facing downtime.
- Three services extracted in 6 months
- Zero downtime migration
- P95 latency improved 2.4x
PythonDjangoPostgreSQLKubernetes - Product Engineering2023
Experimentation platform v1
Consumer subscription startupBuilt the first version of an in-house A/B testing platform, unblocking the growth team to run 4x more experiments per quarter.
- 4x experiment velocity
- Self-serve for non-engineers
- Owned by growth eng on day one
TypeScriptReactPostgreSQL - AI & LLM2025
LLM evaluation & observability
Vertical AI startupSet up offline evals, regression suites, and tracing for a multi-agent product. Caught a silent quality regression on the third deploy.
- Offline eval suite + CI gating
- Tracing across 7 agent steps
- Cost down 22% via routing
PythonOpenAI / LLM APIs
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