Timothy – Rust, Typescript, Python

It is a CDC-managed public health platform used by state, tribal, local, and territorial health departments to collect, manage, and report data on notifiable diseases. It supports case investigation, data standardization, and secure transmission of disease reports to the CDC, enabling timely surveillance, outbreak detection, and public health response.

• Partnered with the Centers for Disease Control and Prevention to modernize the National Electronic Disease Surveillance System (NEDSS) in the wake of the COVID-19 pandemic;
• Managed an engineering team tasked with simplifying the NEDSS architecture, reducing operational and cost burdens for public health jurisdictions without sacrificing performance or reliability;
• Developed technical strategy for an NBS rearchitecture proposal, defining domain-aligned service boundaries to consolidate 21 microservices into 12, reducing architectural complexity and improving maintainability and system cohesion;
• Oversaw efforts to decouple NBS services from Kafka by introducing abstraction layers and broker-agnostic messaging patterns, enabling flexibility in message broker selection and reducing vendor lock-in.

It is a fintech startup building an institutional-grade portfolio and risk management platform, developed in partnership with Fidelity Investments, that enables large asset managers to operate securely in decentralized finance (DeFi) markets.

• Built core Rust components of an institutional-grade portfolio and risk management platform enabling asset managers to manage DeFi positions with enterprise-level controls and visibility;
• Partnered with Fidelity Investments to align platform capabilities with institutional requirements, including compliance, auditability, and risk controls;
• Designed and delivered secure, scalable services to support high-value financial workflows under strict regulatory and operational constraints;
• Operated in a small, high-impact team, balancing rapid iteration with the rigor required for enterprise financial systems.

It is a nationwide public platform for processing, validating, and publishing federal grant audit data, improving transparency and accessibility of government spending.

• Led architecture and delivery of a high-scale, public-facing system using Python, Django, and PostgreSQL, enabling ingestion, validation, and publication of federal grant audits;
• Designed secure, compliant data pipelines handling sensitive financial data while meeting federal requirements for privacy, accessibility, and reliability;
• Built modern, user-centered workflows to replace legacy systems, improving data quality and reducing submission friction for auditors;
• Collaborated with federal stakeholders to translate complex policy and reporting requirements into scalable technical solutions;
• Implemented automated testing and CI/CD pipelines to ensure reliability and maintainability of a mission-critical public system.

Itis a multi-state data platform designed to detect and prevent duplicate enrollment and fraud in SNAP benefits while preserving participant privacy.

• Led the architecture and delivery of a multi-tenant platform enabling secure cross-state matching of SNAP participants to detect duplicate enrollments;
• Designed and implemented privacy-preserving record linkage (PPRL) techniques, allowing accurate duplicate detection without requiring states to transmit sensitive PII to federal systems;
• Collaborated with state agencies and federal stakeholders to translate complex eligibility and policy rules into scalable technical solutions;
• Implemented CI/CD pipelines, automated testing, and monitoring, ensuring reliability of a mission-critical, multi-jurisdiction system.

It a nationwide platform enabling individuals to securely submit civil rights complaints and route them to appropriate DOJ divisions for investigation.

• Led architecture and delivery of a secure, public-facing intake platform using Python, Django, and PostgreSQL, supporting structured submission and routing of civil rights complaints;
• Designed and implemented workflows to handle sensitive, high-risk data, ensuring compliance with federal requirements for privacy, accessibility (Section 508), and security;
• Collaborated with DOJ stakeholders, policy experts, and UX researchers to translate complex legal and intake requirements into clear, user-centered experiences;
• Implemented CI/CD pipelines, automated testing, and monitoring, ensuring high availability and reliability for a mission-critical public service.

CareSelect is a clinical decision support platform integrated with electronic medical record (EMR) systems, serving over 500 U.S. hospital systems and guiding evidence-based imaging and treatment decisions in real time at the point of care.

• Designed and built backend services using .NET Core and Microsoft SQL Server, supporting real-time clinical decision workflows at scale across 500+ hospital systems;
• Developed secure, highly available APIs integrated with EMR platforms, enabling seamless delivery of decision support within clinician workflows;
• Built and maintained front-end components using Angular, contributing to responsive, clinician-facing user experiences;
• Ensured compliance with healthcare regulations (e.g., HIPAA) while handling sensitive patient data across a large, distributed healthcare network;
• Improved system performance, reliability, and observability through testing, monitoring, and production debugging practices.

It is a high-performance, ultra-low-latency trading platform focused on enabling automated execution of trading strategies across diverse financial markets, optimizing speed, reliability, and scalability for global asset and exchange coverage.

• Rebuilt and maintained low-latency trading systems using C++, optimizing for performance and deterministic behavior in time-sensitive financial workflows;
• Designed and implemented an end-to-end simulation environment for trading strategies, significantly improving the team’s ability to develop, test, and evaluate new approaches before production deployment;
• Tuned system performance and reduced latency through profiling, debugging, and careful resource management;
• Ensured system reliability and correctness under strict audit and compliance requirements;
• Led and mentored engineers, contributing to team growth and improving engineering practices;
• Collaborated with analysts and stakeholders to translate trading requirements into robust, production-grade systems.