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 our AI product offering, reducing compute costs by over 20% and increasing client revenue per session by 30%. Managed team agile processes throughout the project.
• Led the planning and execution of migrating critical components of the company’s codebase from Python 2 to Python 3, ensuring compatibility and minimal disruption.
• Led cross-team initiatives to streamline and document critical processes, enhancing operational efficiency and knowledge sharing
• Guided junior engineers through Python best practices and system design, improving team code quality and output.

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%.
• Worked on HLA, middleware logic, and MAK Logger interface
• Design and maintain a High-Level Architecture (HLA) Federate.
• Fixed mission-critical bugs, including memory mismanagement issues and segmentation faults.

Provided comprehensive IT support by troubleshooting hardware and software issues, managing system deployments, and maintaining secure inventory workflows for academic and research environments.