I am an electrical engineering professional with expertise in signal processing, system optimization, and advanced controls. With extensive experience in engineering environments, I have contributed to the development, simulation, integration, and validation of complex systems. Passionate about applying core technical knowledge to solve real-world engineering challenges and drive advancements in cutting-edge technologies.
· Boosted 5G/LTE network performance through real-time IP monitoring, achieving a 35% improvement in efficiency and reducing data transmission failures by 25%.
· Collaborated with cross-functional teams on optimization projects, ensuring seamless 3G/4G deployment.
· Tailored connectivity with frequency and neighbor planning, cutting call drops by 30% and adjusting reliability for over 500K consumers.
· Adjusted network stability by 40% using advanced data-driven troubleshooting saving 300K annually in operational costs.
· Completed hands-on training in MDF, GPON, and number distribution systems, optimizing structure configurations to improve productivity by 35%.
· Gained operational expertise through real-world telecom infrastructure projects, contributing to a 20% reduction in operations downtime and saving $200K in maintenance costs.
Multi-Agent Autonomous Vehicle Platooning Fall 2023 – Ongoing
[Toyota Funded Project]
· Engineered AI-driven network optimization models using multi-agent reinforcement learning (MARL), reducing wireless communication latencies by 36% and fine-tuned 5G signal efficiency.
· Designed and introduced intent-sharing mechanisms, safety constraints, and reward functions (gap-keeping, jerk minimization, and string stability), leading to a 30% improvement in platoon stability and safety.
· Simulated a multi-agent environment, employing real-time visualization and logging to improve debugging by 40%, reducing training errors by 25%, and accelerating model convergence by 20%.
Metal Absorber Research Winter 2024
· Constructed a metamaterial unit cell with 99.8% absorption at 14.45 GHz, succeeding a compact size of 0.482λ × 0.482λ × 0.057λ.
· Modeled in Ansys HFSS, validating its potential for RF stealth, sensing, and EMI reduction.
Joint Transmission CoMP for High-Velocity UEs in 5G Summer 2022
· Analyzed ICI and Doppler shift effects, fostering a JT CoMP-based solution in MATLAB that improved cell-edge throughput by 35%.
· Increased mean throughput by 47% while evaluating trade-offs for high-velocity UEs.
· University of Windsor Entrance Scholarship (Fall 2023)
· ISCEA Ptak Prize, 2021 (60% Scholarship)