Greater Philadelphia
Bridging Google Cloud and AWS to deliver compliant Generative AI and AI/ML solutions that accelerate pharma R&D, streamline clinical trials, and enable precision medicine for HCLS organizations. 8+ years as AWS Principal Solutions Architect in HCLS (pioneering GenAI implementations, e.g., clinical document analysis with Amazon Bedrock reducing protocol review timelines), now as Google Cloud Customer Engineer partnering with pharma/life sciences customers on Vertex AI, MedLM, Gemini, multimodal models for omics/imaging/EHR. "Deep pharma domain knowledge from GSK (led first enterprise cloud productivity migration, 30% cost savings) — ensuring GxP, HIPAA/HITRUST, FDA 21 CFR Part 11 compliance in regulated GenAI workloads (RAG for regulatory intelligence, fine-tuned models for target identification, real-world evidence generation) Contributed to AWS-featured solutions shortening drug approval document cycles"; "Architected scalable GenAI pipelines handling petabyte-scale life sciences data. Advise on hybrid/multi-cloud strategies to optimize cost, performance, and compliance for GenAI inference/training in HCLS. Passionate about responsible AI in healthcare. Open to discussions on GenAI for pharma innovation, cloud modernization, or HCLS digital transformation. #GenAI #HCLS #Pharma #GoogleCloud #AWS
As a Customer Engineer specializing in AI/ML and Generative AI for Healthcare & Life Sciences (HCLS), I partner with pharma, biotech, and healthcare organizations—from technical architects to C-suite executives—to design, deploy, and scale compliant, high-impact AI solutions on Google Cloud. Building on 8+ years of prior AWS HCLS leadership (including pioneering GenAI implementations for clinical workflows), I help customers accelerate innovation in drug discovery, clinical trials, precision medicine, and real-world evidence while ensuring regulatory alignment (HIPAA, HITRUST, GxP, FDA guidelines). Architect end-to-end Generative AI solutions leveraging Vertex AI, Gemini, MedLM, and multimodal models to address complex HCLS challenges, including clinical note summarization, protocol analysis, omics + imaging integration, and regulatory intelligence via RAG architectures. Guide pharma and life sciences customers in adopting Google Cloud's AI portfolio (Vertex AI pipelines, BigQuery for standardized healthcare data, Healthcare API) to unlock value from petabyte-scale datasets, reducing administrative burdens and accelerating R&D timelines. Deliver reference architectures and best practices for production-grade GenAI deployments, connecting intelligence (e.g., hyper-personalized insights, dynamic automation) with secure infrastructure—featured in Google Cloud resources for real-world use cases like intelligent customer support and multimodal content generation. Advise on compliant multi-cloud/hybrid strategies, bridging Google Cloud innovations with legacy AWS environments to optimize cost, performance, and security for regulated GenAI workloads in life sciences. Collaborate cross-functionally to enable responsible AI adoption, incorporating medically-tuned search (Vertex AI Search for Healthcare), foundation models for precision medicine, and data foundation enhancements to improve patient outcomes and operational efficiency.
• Developed industry vertical technology strategies for Global Life Sciences enterprises, resolving business challenges. • Led Azure and Office 365 architecture for multiple clients, resulting in moving over 250,000 users to the Microsoft cloud. • Created Proof of Concepts with a compliance and security focus, leading to over $200M net revenue.
• Provided CIO level engagement and design for customer stuck in a failing migration, reducing migration timeframe by 66% with a 71% cost savings. • Guided multi-national customer on deployment/migration to over 7,500 Amazon Workspaces to support global call center operations during Covid-19 crisis. • Created a Hybrid technical advisor program, building out a competency program for AWS employees to learn Microsoft Azure and Google Cloud Platform.
• Architected professional services solutions for Life Science clients, developing 20 SOW’s and a $30M pipeline. • Designed POCs in cutting-edge technologies like Blockchain, Machine Learning, and Internet of Things (IOT). • Spearheaded the design of IOT POC’s in Medical Devices, Connected Health, and RFID augmented Inventory management.
• Generative AI Leadership: Pioneered AWS Bedrock-powered solutions, including a Clinical Documentation System slashing study onboarding by 80% and rework by 50%, saving $100K+ per study. Developed advanced tooling to automate Clinical Business Requirement Specifications (BRS) from charters, reducing a 12-week process to under 1 week. Created a multi-model orchestration framework for Clinical Trial Protocol automation and a Python/Bedrock/Claudev3 "text-to-SQL" application, enhancing researcher efficiency in trial search and classification. Secured significant funding for AWS GenAI Innovation Center, driving a Medical Device/IoT platform impacting 2M+ patients. • Modernization & Migration: Architected an "all-in" AWS strategy post-merger for a clinical client, doubling AWS revenue in 12 months while integrating the Well-Architected Framework. Led Azure/on-prem to AWS migrations, cutting costs by $250K+ in year one and reducing migration timelines by 66% with 300% scope expansion. Modernized legacy platforms to serverless using Domain-Driven Design, saving $200K+ internally. Spearheaded the Container Migration Factory, automating app transitions to ECS/EKS/Fargate, now an official AWS Solution. • C-Level Engagement: Advised CIOs/CTOs across regulated industries, delivering full migrations with $250K+ ARR and reducing service deployment from 6 months to 6 weeks at a financial services client. Negotiated a $45M/3-year Enterprise Discount Plan, yielding $500K+ monthly customer savings. Acted as Resident Architect at Vanguard, managing 20 consultants across 15 projects, generating $10M+ in ProServe revenue and 500% AWS revenue growth. • Thought Leadership & Public Speaking: Evangelized AWS capabilities to 10,000+ attendees at events like IBM Elevate and Angelbeat (4.8 CSAT), covering Generative AI, migration, and mainframe modernization. Authored 10+ high-impact AWS blogs on GenAI, migration, and containerization, including a Re:Invent-featured case study.
• Collaborated with Customer's Line of Business senior management to align key business processes with Microsoft solutions. • Developed reference and target architectures to optimize client investments in the Microsoft stack and cloud. • Acted as an embedded architectural resource, providing industry insights and driving solutions for DuPont Office 365 team.
• Led cloud migration strategy and execution, accelerating cloud adoption during company transformation. • Partnered with C-suite to establish AWS as primary cloud, moving off Azure. • Drove AI strategy, creating POCs with natural language processing for SQL queries and insights from medical documents.
• Led GSK North America Pharmaceuticals Architecture for Cloud, Mobility, and Global Digital, collaborating with R&D and Manufacturing. • Developed strategic cloud relationships with Microsoft, Oracle, IBM, and other vendors to enhance capabilities. • Migrated all GSK users (140k) to the cloud, achieving a 40% cost savings over previous on-premises architecture.