Staff Engineer for Block’s Square lending servicing, architecting the systems that manage loan servicing, repayment, collections, and regulatory workflows.

• Drove 10x revenue growth—from $250M to $2.4B annually—as lead engineer for the lending org, leading a team of 40 engineers building and maintaining 6 lending products across 5 countries.

• Led cross-functional teams of 15–20 engineers, product managers, data scientists, designers, and risk analysts to launch four lending products and four international rollouts.

• Engineered AI-driven incident analysis that automated remediation ticket creation, reducing on-call workload by ~40% YoY.

• Developed an AI-assisted workflow to detect stale feature flags (6+ months) and automatically raise PRs for their removal, reducing the total flag count by 40%.

• Shipped configuration framework that decoupled business logic from product-specific settings, accelerating development timelines by 80%.

• Owned and maintained 100+ gRPC endpoints powering lending functionality, handling over 20M daily requests.

• Led mentoring program pairing tenured staff and senior engineers with engineers leading their first projects.

• Reduced customer loan webpage error rates by 40% by preventing non-critical data failures from blocking page load.

• Lead engineer for lending servicing, leading a team of 13 engineers supporting a portfolio of 1M loans totaling $12B.

• Architected a high-throughput orchestration platform for collection workflows handling 80k daily loans; successfully migrated 100k+ loans from legacy infrastructure using shadow traffic and staged rollouts.

• Optimized borrower payment aggregation for 10M daily transactions, leveraging parallelization and improved caching to reduce database load and enhance system efficiency.

• Launched self-service payment plans that improved customer repayment flexibility while reducing median days past due on delinquent loans from 115 to 80 days.

• Spearheaded critical security and compliance initiatives, including E2E encryption for 1M+ PII records and the stabilization of FinCEN regulatory screening pipelines processing 700k screens bi-weekly.

• Architected automated forgiveness processing for 100k PPP loans generating $300M in revenue, replacing manual workflows with a system capable of adapting to evolving SBA regulations.

• Reduced p95 database load by 80% by identifying and optimizing inefficient queries using Datadog performance monitoring, improving system reliability and stability.

• Led a cross-functional team of 10 to architect and deploy automated reconciliation solutions processing 800M+ daily rows across 22 systems, reducing processing time by 75% (16 hours to 4 hours) and slashing false-positive discrepancies by 94%

• Built ML model (Scikit-Learn, TensorFlow) achieving ~98% accuracy in column classification, reducing manual data mapping effort by 95% and accelerating onboarding of new datasets by 60%.

• Developed self-service reconciliation UI (React) adopted by 120+ users, reducing dependency on engineering and cutting reconciliation setup time from 21 days to 3 days.

• Introduced config-driven data sourcing with reusable extractors, reducing data onboarding time from days to minutes (>95% reduction) and enabling 6× faster integration of new sources.

• Built automated SDLC release validation tooling, saving ~25 hours per weekly release and reducing release-related errors by 80%.

• Organized monthly engineering forums and events with 150+ attendees, improving cross-team knowledge sharing and collaboration across the org.

• Automate severity of user reported spam emails using C#, reducing email investigation team work from 1,000 emails per day to 100 emails per day.

• Created WPF web application that allowed users to upload video content and store it for future playback purposes (C#, Microsoft SQL Server).

• Constructed scorecards evaluating the current state of each service for monthly review by upper management, to make sound business decisions on future investment projects.

• Created efficient SQL queries and analyzed data to improve many applications’ reliability and performance.

• Utilized multiple data tools, such as Tableau and Excel, to create data analysis reports to help determine which technology projections should get funding.

• Created, enhanced, and maintained a software provisioning tool using C# middle-tier and WPF front-end.

• Implemented efficient data retrieval using multi-threading to make multiple API calls.

• Developed and managed Microsoft SQL Server back-end solution.

Skills used:

‌• C#

‌• WPF (Silverlight)

‌• PL/SQL (Oracle)

‌• Java

‌• EMC Orchestator