Summary
Highly analytical and results-driven Telecommunications Engineer with 6 years of experience in designing, implementing, and optimizing complex communication networks for industrial and enterprise environments. Proven ability to enhance system reliability, improve data transmission efficiency, and reduce operational costs through innovative solutions and meticulous project management. Adept at leveraging a strong background in RF, optical, and IP networking to drive critical infrastructure advancements in manufacturing and utility sectors.
Experience
- Led the design and deployment of a new industrial wireless network across three manufacturing plants, improving data throughput by 40% and reducing downtime by 15%.
- Managed vendor relationships and procurement for network hardware, achieving a 10% cost reduction on annual equipment expenditures totaling over $1.2M.
- Assisted in the planning and implementation of an MPLS network upgrade for critical utility infrastructure, enhancing data transmission reliability by 20%.
- Configured and maintained Cisco routing and switching equipment, contributing to a 100% network uptime for assigned segments.
Projects
- Managed the migration of 5,000+ users to a new enterprise VoIP system, ensuring seamless transition with zero service disruption.
- Designed and implemented a robust wireless IoT network for real-time sensor data collection in a manufacturing plant, reducing data latency by 60%.
- Selected and integrated LoRaWAN technology for long-range, low-power device communication, extending sensor battery life by 2 years.
- Developed network monitoring dashboards to visualize IoT device health and data flow, enabling proactive maintenance.
- Developed a Python-based system to automatically detect and alert on network anomalies using SNMP data, reducing manual monitoring efforts by 75%.
- Integrated the system with existing ticketing platforms, decreasing average incident detection-to-ticket creation time by 90%.
- Improved network visibility and reduced false positives through machine learning algorithms for baseline profiling.
Education
- Graduated Magna Cum Laude with a GPA of 3.8/4.0.
- Specialized in Telecommunications and Signal Processing.
- Awarded Dean's List honors for six consecutive semesters.



