AI/ML Solutions Architect
Nimbus Quant
2024 - Present
- Developed enterprise-grade AI architecture patterns during an R&D break, building 6+ end-to-end MVPs including AutoFinGPT (RAG-based financial research assistant) and an AI-enabled PMS product.
- Designed and implemented agentic orchestration workflows to prove the feasibility of multi-step AI reasoning in production environments.
- Established reference architectures for retrieval, evaluation, and agent tooling that translate emerging AI capability into defensible business value.
Senior Product Manager
Splunk Observability
2022 - 2024
- Reduced enterprise egress costs by 92% through AWS PrivateLink integration, directly securing 7 new contracts and protecting ARR.
- Delivered technical workshops to 1,000+ sales pros globally, applying value-based selling to accelerate enterprise deal closures.
- Led technical discovery and RFP responses for Fortune 500 prospects, translating product, infrastructure, and compliance needs into technical roadmaps.
- Shipped a Kubernetes autoscaler for distributed tracing and APM instrumentation via OpenTelemetry — zero outages across 2 peak seasons, $3M in COGS savings, and 3 compliance accreditations.
Solutions Architect
Accenture — Department of Defense
2020 - 2022
- Bridged the technical-business gap contributing to a $93M contract win, leading technical discovery and executive briefings for DoD stakeholders.
- Deployed 'No-Bid' classification models that streamlined 24% of procurement bids, driving 5x faster deployment from PoC to production.
- Architected infrastructure upgrades with engineering teams that delivered a 500% increase in machine learning deployment efficiency.
- Built model evaluation frameworks and technical collateral used in client engagements to quantify value and precision for non-technical leadership.
Data Scientist — Product & Data Team
Healthgrades
2019 - 2020
- Improved ML text match rate 57% and model accuracy 24% via data architecture changes, taking enterprise match rates from 22% to 79%.
- Built dashboards and pipeline models across 9 initiatives to support product and customer onboarding teams, shaping the enterprise product roadmap.
- Defined data ingestion standards as a member of the Board of Data Quality, cutting manual ETL tickets 86% over 4 months.
Data Engineer
Cognizant — Spectrum (Charter Communications)
2018 - 2019
- Designed ETL pipelines with CI/CD automation and anomaly detection for IoT/set-top box devices, cutting testing turnaround by 25+ days and saving $240K/year.
- Automated error code analysis, reducing developer workload by 3 days per sprint cycle.
- Architected the backing data platform and REST ingestion layer, driving over $250K in program savings.
Contact Form
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