Turning data into insights, decisions, and traction.
6 years as a data product manager. Mostly healthcare, hospital IT, and insurtech, clinical NLP platforms, FDA-regulated SaaS, audit-ready dashboards. Based in ATL, CHI, and the Bay Area.

What I bring
Product
6 years owning data products end-to-end, roadmaps, backlogs, scrum, and release management across onshore/offshore teams.
Engineering
Full-stack builder: Python, TypeScript, SQL, ETL pipelines, LLM applications, and cloud platforms (AWS, Snowflake).
Healthcare
Deep domain in clinical trials, FDA 510(k), HIPAA/ISO compliance, EHR systems, and medical device regulatory strategy.
The journey
Recently, I’ve worked in technology companies dedicated to accelerating clinical research. These were in the forms of clinical trial documentation management software and analyzing wearable device data for clinical trials. I also spent time in Chicago on hospital vendor compliance management software where I helped build a platform to support the safety training liability of medical device representatives.
I graduated from University of Alabama at Birmingham in supply chain management with a concentration in medical equipment. This means I was trained to convince physicians to use the medical devices and solutions I brought to them. This also meant catering to gatekeepers at healthcare providers of all shapes and sizes. At Georgia Tech, I prototyped an IoT device for nephrologists debating about when to start their patient’s dialysis.
I’m familiar with clinical research workflows, software development methodologies, and the analysis and management of portfolio-level data using scripting, reporting tools, and CRM systems. I’ve used these with sales teams to identify new business opportunities, and support pre-sales activities through product demonstrations and proposal development.
I try to bring an in-depth technical understanding of how products impact patient care, workflow optimization, and clinical outcomes. It’s useful for conducting product demos for healthcare professionals during a sales process, or collaborating with medical, R&D, and product teams to provide customer feedback, insights, market trends, and accurate records of client interactions. I enjoy creating and reading reports on sales performance, market trends, and technical challenges.
These days, I’m tinkering with LLMs, working on viewers and medical imaging systems for AI models, and researching FDA medical device and software regulations to find ways of guiding SaMD founders getting prototypes ready for the hands of physicians and patients.
See more about me →If I'm not geeking about something healthcare adjacent, you can find me hosting trivia, taking pictures, tutoring K-12 students, exploring art exhibitions, DJing, and sweeping the NYT puzzle section. I believe that creative inspiration can be found anywhere, so I try to actively seek it.
Education
IBERIABANK iLAB fellowship recipient
Certifications
Products I've shaped
Product Operations Manager
Innolitics
Current- SaMD regulatory consulting and software development for medical device companies.
- Own product and data strategy for the FDA regulatory content platform, drove a 15% lift in monthly qualified traffic via content taxonomy and engagement analytics tracking 3,000+ regulatory professionals across Class I/II/III submission pathways.
- Drive the LinkedIn and editorial series on AI/ML regulatory content: product code distinctions (e.g., QFM vs. QAS), new K-numbers, warning-letter breakdowns, SaMD pathway walkthroughs.
- Own product roadmap for Innolitics web apps including the 510(k) Browser and service-page tooling, coordinating engineering with marketing and consulting.
- Translate regulatory complexity into actionable deliverables: software validation guides, AI/ML-enabled SaMD pathway documentation, RSNA/HIMSS collateral.
- 2024-Present
- SaMD regulatory consulting and software development for medical device companies.
- Own product and data strategy for the FDA regulatory content platform, drove a 15% lift in monthly qualified traffic via content taxonomy and engagement analytics tracking 3,000+ regulatory professionals across Class I/II/III submission pathways.
- Drive the LinkedIn and editorial series on AI/ML regulatory content: product code distinctions (e.g., QFM vs. QAS), new K-numbers, warning-letter breakdowns, SaMD pathway walkthroughs.
- Own product roadmap for Innolitics web apps including the 510(k) Browser and service-page tooling, coordinating engineering with marketing and consulting.
- Translate regulatory complexity into actionable deliverables: software validation guides, AI/ML-enabled SaMD pathway documentation, RSNA/HIMSS collateral.
- 2025
- Product Owner for the real-world evidence data platform, multi-site ingestion, LLM operations, and pharma package delivery across a research network of tier-1 academic medical centers.
- Led Patient Chart Viewer 0→1: requirements, MVP, stakeholder buy-in. Replaced ad-hoc SQL + spreadsheets with a viewer for ground-truthing unstructured EMR data.
- Architected LLM-powered clinical data extraction and annotation workflows for clinical NLP models on liver-disease EMR; cut manual review time ~45% and accelerated trial startup by ~3 weeks on average.
- Owned the multi-site ingestion pipeline (S3 → ODS → Snowflake EDW) with Presidio PII redaction, automated QC, and data-quality contracts; aligned to FHIR, OMOP, and DICOM standards.
- Delivered 12 feasibility studies and 8 prospective trials with 100% on-time pharma package delivery; led cross-functional standups and grooming for a distributed engineering + data science team.
- 2024–25
- 21 CFR Part 11–compliant platform for AI/ML-derived digital biomarkers from wearable sensors (actigraphy, ECG-derived respiration, apnea detection, sleep stages), powering Phase II/III clinical trials.
- Owned validation of the sensor data pipeline and algorithms, designed trace matrices, UAT cycles, and regression tests that cut data-error tickets 30%.
- Supported migration from the legacy .NET desktop app (VivoSense Desktop) toward the cloud platform (VSP) on Kotlin / Kubernetes / Kafka / AWS.
- Led the ETQ → ZenQMS migration for 21 CFR Part 11 artifact management.
- Partnered with engineers and clinical scientists on sprint planning, translating compliance requirements into user stories for validated wearable-data export.
- 2022–23
- Vendor credentialing for hospital product safety and compliance ($25M+ quarterly revenue).
- Owned workflow design and product documentation for an API-driven training course resale framework serving 175,000 healthcare professionals across 6,000 systems, automating 8% of monthly credentialing document verifications.
- Cut time-to-compliance 10% across all health systems by optimizing document-management workflows.
- Lifted product NPS from 30 to 80 over 12 weeks via data-driven backlog prioritization and web-accessibility improvements.
- Migrated 3,600 enterprise customers to a new membership billing model, leading 40+ training sessions.
- 2021–22
- eClinical platform with API integrations for clinical trial management.
- Led technical implementations for 30+ clinical research sites with a 100% on-time go-live rate across 12-week lifecycles.
- Configured eTMF, CTMS, Study Startup, and eReg/ISF solutions; ran requirements workshops, gap analyses, and migrations.
- Delivered hands-on training advising site managers on system configuration and clinical workflow best practices, drove a 10% CSAT improvement.
- 2019–20
- Graduate capstone team building a digital-health IoT product for remote patient monitoring.
- Led product design for a companion mobile app for nephrologists; owned VoC research, regulatory pathway, and reimbursement policy presentations to clinical KOLs.
- Authored DIOVV, aFMEA, and dFMEA documentation for FDA regulatory planning and risk management.
- Delivered an ISO 13485 / IEC 62304-compliant prototype to visualize vascular-access health in kidney-dialysis patients.
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The earlier chapters
- 2020
- Managed purchase orders with 5 OEM manufacturers for inhaled nitric oxide test engineering.
- Reduced excess inventory by 15% through restructuring Sales & Operations Planning.
- Designed equipment tooling for COVID-19 patient therapy devices.
- 2019
- Created market research reports quantifying VOC, ethnographic, and survey data from clinicians and KOLs.
- Supported early-stage biotech companies focused on CT dosimetry and ultrasound-guided DNA delivery for regenerative medicine.
- Created clinical validation protocols for surgeons and analyzed results translating into design inputs for phase 0 pedicle screws.
- Executed SolidWorks iterations and DIOVV for expanding orthopedic implant product lines.
- 2018
- Conducted lead generation across 150 clinics in Southeast U.S. integrated delivery networks.
- Managed GPO accounts (Vizient, Premier, Healthtrust) for disposable protective equipment.
- Based in Singapore. Delivered JLT Asia's flagship Employee Benefits affinity web portal (Benpal) to C-Suite members.
- Drove end user engagement across 7 technology startups as upstream marketing project lead.
- Conducted research into the effects of diet and obesity on immune responses to solid tumors under Dr. Lyse Norian.
- Performed PCRs, DNA purifications, gel electrophoresis, FACS, and cell cultures.
- 2016
- Developed widgets and web design elements for MemoryLake, a Big Data integration efficiency product.
- Built with AWS, Angular, HTML, and JSON.
What I'm good at
AI/ML & Data Science
Healthcare Standards
Product
Cloud & Tech
Languages
Regulatory
Things I'm proud of

Drug Name Normalizer
A client-side web app that normalizes messy medication names to standardized generic names using the NIH RxNorm API. Built with Next.js 15, TypeScript, and TailwindCSS. Solves a real healthcare data problem, converting 2-4 hours of manual drug mapping into a 2-minute automated process.
Read more →
LinkedIn Notes
A Chrome extension that adds private notes and color-coded tags to LinkedIn profiles. All data stays local in the browser, no servers, no accounts, no tracking. Includes a CRM dashboard, quick search popup, and JSON export. Built with WXT + React.
Read more →
FDA Devices MCP Server
An MCP server that gives AI assistants structured access to FDA medical device databases, 510(k) clearances, PMA approvals, adverse events, recalls, and device classification. Built with TypeScript, includes synonym expansion and source links.
Read more →Let's work together
Currently open to full-time roles and consulting engagements in healthcare data, product management, and AI/ML. Leave a note below, or pick the shortcut that suits you.