Lead Software Engineer @ Denari focused on building good s**t. Strong believer in the compounding impact craft has on engineers, teams, and customers.
May 2023 – Present
Denari
Lead Software Engineer
- Promoted to manage a team of 6 engineers; overhauled project designation to improve prioritization and accelerate delivery, and unified the frontend and API layer under a fully typed TypeScript monorepo, boosting developer and agentic contribution velocity.
- Executed a zero-downtime migration of 100M+ rows from MySQL to PostgreSQL, unlocking pgvector capabilities and powering a multi-modal AI RAG ingest pipeline that cut inference latency by 50% and serves tens of thousands of vector queries per month.
- Migrated a 2,500-doc-per-day ingestion workflow to an auto-scaling queue-consumer architecture with zero downtime, achieving a 6.5x throughput improvement and 99.99% availability.
- Co-led Denari's SOC 2 Type II certification by partnering with auditors and security, defining controls, remediating gaps and embedding continuous compliance across engineering workflows.
- Integrated agentic coding tooling (Claude Code, OpenCode, Codex) into engineering workflows and onboarded async AI contributions across team repositories, multiplying effective development capacity beyond headcount.
- Architected a first-of-its-kind cloud-hosted, on-prem-networked AI agent using proxied agentic sandboxes, enabling secure autonomous task execution across hybrid infrastructure.
- Slashed AI API costs 50x (∼$25k/mo) via model re-tuning, request batching, and cache primitives.
January 2023 – May 2023
BeHelpful
Software Engineer (Contractor, Full-Time)
- Advised a growing consumer brand on SEO strategy, harnessing insights from SEMrush and Google Search Console to build predictive keyword-optimization models, driving a 10,000-pageview increase in 2.5 months.
- Engineered data-driven algorithms to calculate Total Addressable Market (TAM) and Serviceable Available Market (SAM) by integrating SEO metrics with Google Traffic analytics; partnered with clients to translate these findings into targeted vertical-market growth strategies.
May 2019 – January 2023
United States Geological Survey (USGS)
Junior Software Engineer (Student Team Leader, Part-Time)
- Developed software (NWTOPT publication) used by hydrologists worldwide to run distributed Tree-Structured Parzen Estimator hyperparameter optimization for MODFLOW-NWT, reducing average model solve times by ~80% and saving the USGS and the Italian USGS-equivalent agency months of compute time.
- Mentored a junior developer—delegating tasks, tracking milestones against the team roadmap, and ensuring on-time, high-quality delivery—while fostering collaborative problem-solving and productivity gains.
- Trained Generative Adversarial Networks to produce physically realistic hydrogeological conductivity maps from sparse observational data and hydrologist-informed distribution hypotheses.
Familiar Languages
Go
Rust
Python
C/C++
TS
SQL
R
Java
Other Skills
AWS
PostgreSQL
MySQL
Networking
Docker
CloudFormation
Azure Cloud
Git
Lambda Stack
Weights & Biases
MLFlow
AWS
ECS
Fargate
Lambda
SNS
SQS
Kinesis
MSK
Auth Flows
Qdrant
Scikit
TensorFlow
Pytorch
Langchain
DynamoDB
SQLite
Datadog
k8s
Block Storage