Led an 8-person engineering team, maintaining 95% on-time sprint delivery while reducing production issues by 30% through improved code reviews and quality standards.

Designed and implemented a multi-tenant AWS architecture supporting 200+ clients in a single account, improving data isolation, scalability, and cost efficiency.

Built a centralized configuration management system using Amazon RDS and a client-facing UI, reducing client onboarding time from 4 weeks to real time.

Spearheaded sprint planning and backlog grooming across teams, providing architectural guidance and ensuring long-term software quality.

Temporarily joined a cross-functional team to improve an Angular-based underwriting tool, enhancing data navigation and accelerating loan decisions.

Reduced AWS costs by 25% by optimizing S3 and DynamoDB usage, implementing resource tagging, and enforcing data retention policies.

Mentored 3 junior engineers, fostering a culture of continuous learning through documentation, pair programming, and knowledge-sharing sessions.

Identified and addressed technical risks early, collaborating with leadership to keep high-priority projects on track and aligned with business goals.

Led development of micro frontend components using Angular, Vue.js, and React, enabling modular, scalable UI integration with AI/ML-driven services (AIVA).

Integrated AWS QuickSight dashboards directly into the app, enabling dynamic, in-app reporting for real-time client analytics.

Partnered with DevOps to implement cross-region failover using AWS (us-east-1 to us-east-2), enhancing system availability and disaster recovery.

Delivered 40% improvement in app performance by profiling and optimizing key front-end and backend services.

Contributed to agile planning and sprint ceremonies, collaborating closely with QA to improve test coverage and release confidence.

Mentored junior developers and participated in design discussions to ensure long-term maintainability and scalability.

Built a client-facing Angular application that surfaced AI insights from Black Knight’s AIVA platform, reducing user decision-making time.

Designed and implemented a custom task queuing system with AWS DynamoDB to support scalable, client-specific workflows.

Added advanced UI enhancements and keyboard shortcuts, cutting key user interactions by over 50%.

Contributed to ongoing AWS infrastructure scaling and performance monitoring, ensuring high reliability and low latency.

Migrated CI/CD pipeline from Jenkins to AWS CodePipeline and CodeBuild, reducing build times and improving deployment reliability.

Designed and implemented a Support Ticket System for AIVA, streamlining client issue tracking and internal error reporting.

Contributed to automation and dev tooling improvements that helped scale AIVA’s internal infrastructure during early growth.

Developed and supported MVVM-based web applications using ReactJS and Knockout.js, including a virtual joystick interface to remotely control Unreal Engine applications hosted on distributed servers.

Enabled real-time interactive virtual tours for clients, significantly improving accessibility and user engagement.

Deployed and managed web applications on AWS, optimizing infrastructure for performance and cost.

Applications are actively used by clients for immersive architectural and planning experiences.