Resume

Own the full technical lifecycle of CML and Derivatives investment-accounting systems — architecture, data engineering, Azure cloud modernization, and production stability for enterprise financial platforms.

• Own end-to-end data engineering for CML and Derivatives accounting in PAM: architecture decisions, enhancement roadmap, production support, data validation, and vendor coordination.
• Operate and extend the JSON message-generation platform (V1–V7) running daily against active commercial mortgage loans across DEV/UAT/PROD with versioned releases and built-in reconciliation.
• Design and deploy cloud-native data pipelines on Azure Synapse Analytics and Azure Data Lake Storage as part of ongoing migration of legacy investment-accounting infrastructure.
• Engineer production automation covering file-transfer, monitoring, retry, dependency management, and notification — systematically reducing manual intervention across Investments Operations workflows.
• Serve as primary engineering interface to Accounting, Controllership, Infrastructure, QA, and third-party vendors, aligning data engineering deliverables with financial reporting requirements.

Led engineering and modernization of investment-accounting systems — initiating the CML-to-PAM migration, launching the Derivatives-to-Azure rehosting project, and expanding platform ownership into enterprise data engineering scope.

• Owns CML engineering within PAM, managing technical roadmaps and production stability for active commercial mortgage loans.
• Led Derivatives processing migration to Azure Synapse; Fixed Income and CML platforms on track for migration by end of 2026.
• Engineers and maintains production pipelines and automated jobs, reducing recurring manual effort across accounting operations.
• Drives measurable reliability improvements across production systems, with fewer known failures, fewer error tickets, and improved data representation.
• Partners with cross-functional operations, accounting, platform-support, and technology teams to align engineering with financial reporting requirements.

Built Python and SQL automation for investment accounting workflows across Fixed Income, Derivatives, and CML, replacing manual processes with production-grade pipelines and interfaces.

• Automated financial reporting and data extraction pipelines in Python and SQL, reducing manual workloads and data entry errors across accounting workflows.
• Maintained Investments Trading & Accounting platforms (PAM Accounting, Markit EDM, and AppWorx), ensuring system uptime and performance.
• Resolved application and data failures through root cause analysis, developing permanent fixes to eliminate recurring production issues.
• Developed system interfaces with Accounting and Operations teams to ensure reliable data flow across Fixed Income, Derivatives, and CML.
• Supported core accounting workflows across multiple asset classes, providing technical assistance and troubleshooting for daily production tasks.

Engineered custom TCP/IP protocols and IoT control systems to replace restricted third-party platforms, and built real-time data pipelines with web-based monitoring interfaces.

• Developed custom TCP communication layers without external automation software, increasing system control and reducing platform dependency.
• Built an IoT street lamp prototype using C# and MQTT to enable low-latency communication between hardware and the cloud.
• Created a web-based dashboard using HTML, CSS, and JavaScript for direct real-time monitoring of backend system data.
• Collaborated with senior engineers to design, test, and document system requirements and user guidelines.
• Integrated frontend interfaces directly with backend communication services to ensure immediate data synchronization.

• Focus areas: data science, big data analytics, AI governance, enterprise IT leadership, and risk management.
• Advanced coursework in statistical methods, qualitative/quantitative research methodologies, and information governance.
• Developing dissertation on applied AI, data-driven systems, and enterprise automation.

• Specialized in application development, cybersecurity systems, and applied artificial intelligence and machine learning.
• Member, Eta Kappa Nu (IEEE-HKN), April 2022 – May 2023; served as Internal Secretary. Dean's List recipient.

• Coursework in cybersecurity, data structures & algorithms, machine learning, software engineering, and systems programming.
• Active in Eta Kappa Nu (IEEE-HKN). Dean's List recipient for academic excellence.

Neo4j Certified Professional — validates proficiency in Cypher, graph data modeling, schema and indexes, Neo4j drivers, and data importing on the Neo4j graph database platform.

Neo4j Graph Data Science Certification — validates proficiency in the Neo4j Graph Data Science library, graph algorithms, and graph data science workflows for analytics and machine learning on connected data.

CFA Institute's Investment Foundations® Certificate — demonstrating a working knowledge of finance, investment analysis, and portfolio management principles.

Qualys Certified Specialist — Vulnerability Management Detection and Response. Demonstrates ability to deploy, operate, and monitor the Qualys Cloud Platform to implement, manage, and protect IT systems, devices, and web applications.

Professional certificate covering server-side programming fundamentals — Python, Django, REST APIs, SQL, and cloud deployment.

Capstone credential awarded for completing both the Meta Front-End and Back-End Developer certificate programs — covering full-stack development from React UIs to Python/SQL back ends.

Foundational certificate validating competence in Zero Trust principles, architecture, planning, and implementation — aligned with the CISA Zero Trust Maturity Model (v2) and NIST SP 800-207.

Professional certificate covering client-side web development — HTML, CSS, JavaScript, React, version control, and UX/UI design, culminating in a portfolio capstone.

Four-course specialization covering enterprise cybersecurity fundamentals — the threat landscape, network and cloud security, and security operations using Palo Alto Networks technologies.

Foundational course on network security principles — securing network infrastructure with firewalls, VPNs, and intrusion detection, and defending against common network attacks.

Hands-on front-end course on building responsive websites from scratch with semantic HTML and modern CSS — including Flexbox, CSS Grid, and web design principles.

Volume 3 of the Complete Cyber Security series focused on online anonymity and privacy — using Tor, VPNs, proxies, and operational security to browse anonymously.

Volume 4 of the Complete Cyber Security series focused on endpoint protection — securing devices with encryption, anti-malware, application control, and threat detection.

Volume 1 of the Complete Cyber Security series covering threat and vulnerability landscapes — hackers, malware, encryption, and operational security fundamentals.

In-depth Git and GitHub bootcamp from fundamentals to expert workflows — covering version control internals, branching, merging, rebasing, and team collaboration on GitHub.

Comprehensive course on building Android apps with Java and Android Studio — covering the Android N SDK, UI layouts, data persistence, and app publishing.

Volume 2 of the Complete Cyber Security series focused on network security — firewalls, network monitoring, Wi-Fi hardening, and defending against network attacks.

Comprehensive MySQL bootcamp taking SQL from beginner to expert — querying, database design, joins, aggregate functions, and stored routines through hands-on projects.

End-to-end Windows PowerShell scripting course — automating administrative tasks with cmdlets, scripts, functions, and the pipeline for Windows system management.

Comprehensive 46-hour C++ course from fundamentals to advanced topics — covering object-oriented programming, pointers, the STL, and modern C++ best practices.