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Design and lead Pega Customer Decision Hub and Decisioning solutions, including NBAA and multi-channel orchestration, using Pega Platform v8.x and Kafka/CDP integrations.
Leads the Payment Hub product roadmap, defining OKRs and driving new capabilities for Synchrony’s backend payment systems that handle cardholder and retail deposit activity.
Own the AI feature roadmap for LaserPro, a lending platform, by defining backlog priorities, translating business needs into user stories, and leading agile delivery pods to embed AI capabilities.
Own the Investment API roadmap, translate priorities into requirements, and drive delivery while improving data-quality dashboards and operational visibility for Morningstar’s financial-data platform.
Design and assess secure cloud systems for satellite communications, integrating AWS/Azure with DoD security controls and compliance requirements.
Owns data products from vision to delivery, partnering with clients and teams to define needs, set roadmaps, and translate requirements into measurable business value.
Senior Business Systems Analyst translates business needs into requirements for scalable mortgage software, partners with cross-functional teams, and validates solutions in an Agile environment.
Owns AI-assisted requirements for legal-funding and healthcare workflow tools, translating business needs into engineering specs and validating AI-generated artifacts.
Quality Engineer ensures product quality and drives controls across the lifecycle, including planning, inspections, defect management, and corrective actions for aerospace/defense systems.
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Mid-level developer building backend Python services for a front-to-back STP platform modernizing structured notes and products trading workflows.
Builds and optimizes low-latency trading systems in Java/C++ for Bank of America’s global equities execution platform, including algorithmic trading, smart order routing, and matching engines.
Leads AI-driven UI/UX development for healthcare products, designing and implementing human-AI interfaces (e.g., RAG, agents) in React/Next.js while ensuring accessibility, security, and measurable outcomes for Amgen’s biotech applications.
Build and deploy AI solutions for Amgen’s drug discovery and operations, integrating GenAI, RAG, agents, and MLOps in a regulated healthcare environment.
Build and own full-stack AI applications for Amgen’s AI Studio, integrating LLMs, RAG, and automation into production systems using modern JavaScript/TypeScript, Python, and cloud services.
Builds and owns end-to-end AI products (e.g., RAG, GenAI agents) at a biotech firm, spanning frontend, backend, and MLOps while ensuring compliance with healthcare regulations.
Build and deploy AI/ML solutions end-to-end for Amgen’s AI Studio, turning business problems into scalable GenAI, RAG, and agent-based products with MLOps and enterprise integrations.
Build and own end-to-end AI products from problem framing to production deployment, focusing on GenAI, RAG, agents, and MLOps for Amgen’s healthcare domain.
Build and own production ML/AI components for Amgen’s AI Studio, including GenAI, RAG, and retrieval systems, using Python, SQL, and cloud services.
Build and deploy production ML and GenAI components—models, RAG systems, agents, and pipelines—using Python, SQL, and cloud services to power Amgen’s healthcare-focused AI products.
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