Los Angeles, California, United States
I build cloud & data platforms that turn strategy into operating results. Over 15+ years I’ve led global teams (20+) and ~$5M budgets to deliver $3M+ annual cloud savings, 3000× analytics speedups, 99.999% uptime, and daily releases across aerospace (NASA JPL), SaaS, and healthcare. ◆ Focus • Platform, Developer Experience, and AI enablement • I design the platform, tooling, and guardrails that help product teams ship faster with reliability and cost discipline • I partner with SRE for 24×7 reliability and incident readiness; my remit is platform, DevEx, SLOs, and cost outcomes. ◆ Signature wins • $3M/year cloud savings while improving performance and availability • 17h → 6s (3000×) analytics speedup enabling real-time decisioning • Reliability to 99.999% and release time from 3 days → 30 minutes • Onboarding from 280 → 20 days via self-service platforms and docs ◆ How I lead • Prioritize what pays: trim scope, kill fluff, fund what moves revenue, speed, or safety • Scale teams with intent: coach EMs/ICs, clarify ownership, measure outcomes • Think end-to-end: user behavior → product → platform → infrastructure → cost ◆ Now open to • Engineering Manager / Senior EM / Director roles (Platform, DevEx, Data/AI) • Remote-first; open to Los Angeles hybrid ◆ Experience scope • Industries: Aerospace, Healthcare, Finance, SaaS • Teams: up to 25+ ◆ Focus areas • Platform/DevEx (CI/CD. golden paths → minutes-to-prod) • Data platforms & feature stores • Semantic search/LLMs, self-service • FinOps (cost & SLO guardrails)
I lead the intersection of engineering, AI, and business strategy—delivering scalable, high-performing products that actually move revenue. My teams build and deploy AI-driven features that feel like magic to users—and generate measurable ROI for clients. - Grew SaaS revenue by 25% by surgically aligning product development with monetization opportunities, rooted in behavioral analytics and heatmaps—not guesswork. - Designed and deployed custom LLMs and supervised learning models that radically improved automated support experiences and user personalization. - Drove 99.999% uptime across Firemaple’s CI/CD and cloud infrastructure, leading DevOps maturity initiatives using GitLab, Terraform, and real-time telemetry. - Reduced lead time for critical updates from 3 days to 30 minutes by overhauling release pipelines, enabling daily deploys without compromising quality.
Reimagined JPL’s enterprise search experience from a basic utility to a strategic, AI-powered platform—built for scale, speed, and scientific discovery. Led cross-functional teams across engineering, data science, and DevOps to deliver high-impact, cloud-native search products. - Boosted search accuracy by 1,320% by integrating Semantic Search, Generative AI, and Knowledge Graphs, underpinned by a robust ML-powered index validation pipeline. - Reduced search data onboarding time from 280 to 20 days using Kafka, Apache Airflow, and Python-based ETL pipelines, slashing time-to-insight for thousands of researchers. - Consolidated 7+ disparate Elasticsearch instances into a single Kubernetes-based search platform, improving maintainability, performance, and cost-efficiency. - Presented and executed a long-term roadmap for AI-powered knowledge discovery, earning enterprise-wide adoption and continued investment. - Spearheaded CI/CD adoption (Jenkins, GitHub Actions), cut deployment time by 75%, and improved reliability across the entire platform. - Led four cross-functional agile teams, including engineers, AI/ML experts, product managers, and cloud infrastructure specialists.
Built a high-performing software consultancy from zero to a trusted growth partner for clients across defense, logistics, and sports analytics. - Delivered 57 successful projects, leading a nimble, high-output team of 17 engineers and technical leads. - Achieved a 3000x performance improvement for a sports analytics platform—cutting report times from 17 hours to 6 seconds—via ML-driven scaling and cloud optimization. - Built a secure real-time video intelligence system for military applications, integrating 250+ camera streams across embedded Linux and Android, meeting FIPS 140-2 and NSA compliance. - Reduced time to market by 50% for a logistics client by deploying Kubernetes-based infrastructure and building a computer vision pipeline for warehouse optimization.
Brought machine learning, automation, and modern engineering practices to defense-sector software challenges. Operated as a principal technical advisor and hands-on builder. - Restored 99% forecasting accuracy in a $1B financial system by developing a machine learning-based anomaly detection engine, reducing errors introduced by real-time subcontractor data feeds. - Rolled out a secure SDLC across multiple teams, delivering technical training with a consistent 95% satisfaction rating, and strengthening software and infrastructure security.
Modernized mission-critical Navy systems—digitizing manual workflows, securing networks, and accelerating deployments in high-risk environments. - Cut flight clearance processing time by 90% through development of an automated dashboard system, replacing legacy paper workflows. - Decreased VM provisioning from 4 hours to 5 minutes by introducing self-service automation and custom VM templates—accelerating project velocity by 3 months. - Reduced network congestion by 32% via proactive monitoring and reconfiguration using NetWitness, improving system performance and threat response.