Complex & regulated operations
Experience in environments where reliability, data quality, governance and compliance matter, including life sciences, research and laboratory operations.
I bring 10+ years across operations, enterprise systems, data, product delivery and AI, translating complex workflows into scalable digital products, integrated platforms and production intelligence.
Life sciences, research operations, quality, compliance and high-stakes operational environments.
LIMS/LIS, ELN integration, APIs, data flows, digital operating models and system delivery.
ML, RAG, agentic workflows, analytics, computer vision and decision-support systems.
Portfolio leadership, cross-functional teams, implementation, adoption and measurable outcomes.
My advantage is the combination: domain depth, operational leadership, systems thinking, data and AI, and the delivery discipline required to move technology from concept into real-world use. Much of that experience was earned in scientific and regulated environments; the underlying capabilities apply wherever complex workflows, data and technology have to work together.
Experience in environments where reliability, data quality, governance and compliance matter, including life sciences, research and laboratory operations.
Multi-site system implementation, LIMS/ELN integration, workflow redesign, data movement and operational dashboards.
Production ML, RAG architectures, agentic systems, computer vision, NLP and predictive operational intelligence.
Cross-functional delivery, budget and resource planning, risk management, process improvement and adoption.
The story is progression: domain depth first, then analytics, systems delivery, operational leadership and applied intelligence.
Built first-hand understanding of assays, protocols and the daily realities of laboratory operations. That domain foundation became the basis for every system I built later.
Coordinated research and used Python, R and statistical analysis to turn laboratory and population-health data into operational and scientific insight.
Managed multi-million-dollar work, supported multi-site laboratory scale-up, deployed LIMS/LIS workflows and delivered 50% faster turnaround.
Moved from using scientific systems to designing how data, workflows and platforms connect across LIMS, ELN, APIs, databases and operational tooling.
Built production ML and agentic systems for scientific and healthcare contexts, combining technical delivery with domain and compliance awareness.
Selected work across enterprise transformation, applied AI, systems architecture and digital products. The projects come from demanding scientific and regulated environments, but the capabilities are broader: translating complex operations into scalable systems, intelligent workflows and measurable outcomes.
Transformation work where technology had to fit real operations, real teams, governance constraints and measurable business outcomes.
National COVID-19 scale-up across multiple sites with cross-functional LIMS/LIS deployment and 15+ person team management.
Systems: LIMS/LIS · DMAIC · Lean Six Sigma · Quality Systems
$2M NIH research portfolio supported with operational dashboards, workflow re-engineering, forecasting and compliance controls.
Systems: Python · Excel · HIPAA / IRB / IACUC
Architecture and integration work focused on reliable data movement, platform interoperability, workflow continuity and governance-aware design.
Middleware for bidirectional data synchronization between LIMS and ELN, with ML for anomaly detection, entity extraction and compliance scoring.
Stack: FastAPI · PostgreSQL · MongoDB · Docker · scikit-learn · spaCy
Agentic systems, production ML and deep learning that demonstrate reusable patterns in reasoning, prediction, retrieval, automation and decision support.
Automated compliance monitoring with OCR and NLP, using five ML models for document classification, compliance scoring and gap analysis.
Stack: Tesseract OCR · scikit-learn · spaCy · Transformers · React
Autonomous clinical decision-support system using multi-step reasoning, five clinical tools, RAG architecture and a vector database of medical guidelines.
Stack: LangChain · GPT-4 · ChromaDB · FastAPI · Streamlit
Production laboratory management system used by a University at Buffalo lab, with five ML models for predictive reordering, forecasting, anomaly detection and vendor optimization.
Stack: Python · Streamlit · Firebase · scikit-learn · Pandas
Production-style pneumonia detection system with a custom CNN architecture, ResNet50 backbone, spatial attention and a complete medical-image training pipeline.
Stack: PyTorch · torchvision · ResNet50 · React · Python · AdamW
Product work that turns complex data and operational requirements into usable, navigable experiences.
Responsive healthcare dashboard for health metrics, medications and laboratory results, with real-time data synchronization and interactive visualizations.
Stack: React 18 · Vite · Tailwind CSS · Firebase Firestore · Recharts
Open to senior opportunities across applied AI, systems architecture, digital transformation, technical product/program delivery, enterprise technology and life-sciences technology.