In my time at Belva, I provided technical leadership across critical engineering initiatives, partnering with cross-functional teams to deliver scalable software, improve engineering practices, and support the organization’s long-term technical strategy.

• Served as a technical leader for high-impact initiatives, mentoring 3 engineers through hands-on feedback and process guidance while resolving complex engineering challenges.
• Led the rollout of organization-wide AI development practices across 2 teams and 6 engineers, reducing PR review time by 30%.
• Drove product and engineering improvements by introducing process changes that reduced sprint-to-sprint ticket spillover by more than 20%, improving delivery predictability and cross-team alignment.

As a technical leader, I drove large-scale infrastructure improvements and cost-efficient optimizations while fostering cross-team collaboration to enhance system reliability and operational processes. My work involved modernizing legacy systems, mentoring engineers, and implementing best practices to elevate both technical output and organizational efficiency.

• Led the planning and implementation of a major refactor of Monetate’s AI product offering, reducing compute costs by over 20% and increasing client revenue per session by 30%; managed sprint rituals and agile processes for a 4-person engineering team throughout the project.
• Directed the planning and execution of migrating 4 critical services, including the core product service, from Python 2 to Python 3 with zero downtime ensuring compatibility and minimal disruption.
• Spearheaded cross-team initiatives to streamline and document critical processes, improving internal developer documentation and increasing team sprint velocity by 10%.
• Guided 4 junior engineers through Python best practices and system design, measurably improving their PR quality and code review feedback contributions.

In this role, I contributed to the development and optimization of high-fidelity real-time flight simulators, focusing on system reliability, performance tuning, and direct customer support. My work involved enhancing back-end infrastructure, resolving critical defects, and implementing distributed simulation architectures to ensure robust and efficient training systems.

• Design, development and debugging of high-fidelity real-time F-18 simulator.
• Provided on-site support and de-bugging while interacting directly with customers.
• Improved back-end infrastructure to reduce complexity and coldstart times by 15%.
• Resolved mission-critical bugs, including memory mismanagement and segmentation faults, and delivered incremental feature enhancements across the HLA Federate, middleware logic, and MAK Logger interface in response to client-reported issues.