Emir Kursad Ulusoy
Staff Engineer - Wireless @DISH TV
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WORK HISTORY
Staff Engineer - Wireless @DISH TV
Littleton, CO, US
Staff RAN Capacity Planning Engineer:Develop and implement capacity planning strategies across network domains, aligning with organizational goals.Create an end-to-end capacity planning model to analyze traffic flow, forecasts, capacity limits, and breakpoints.Design and execute capacity planning activities to optimize performance and meet demand.Develop 5G open RAN capacity planning strategies, considering regional variations and market demands.Develop algorithms and software tools for capacity planning to enhance decision-making.Define RAN capacity thresholds with stakeholders to optimize resource utilization and reliability.
EDUCATION
Kocaeli University
Bachelor's Degree, Electronics Teaching Education
ABOUT EMIR KURSAD ULUSOY
17+ years of experience as a network engineer specializing in RF wireless technologies and telecommunications (4G/LTE, 5G/NR, WiFi, CBRS) for lab and field testing in indoor/outdoor networks- Orchestrated cross-functional teams of 30+ engineers across hardware, software, and testing to resolve critical RF performance bottlenecks, improving major KPIs by 40% and reducing customer complaints- Patented software for Big Data and ML: Developed LTE PIM Catcher (Patent Drove operational efficiency by redesigning capacity breach thresholds through data-informed decision-making, increasing profit margins by 10%. Reduced unnecessary CapEx and optimized resource allocation, delivering measurable business value across multi-million-dollar network investments- Led development of real-time Python/JavaScript automation tools, mentoring junior engineers on implementation. Managed a cross-functional initiative that streamlined diagnostics for 20+ field teams, reducing field revisits and costs by $100K annually- Engineered a Linux-based 5G/LTE/WiFi test tool (iPerf/FTP) for indoor (P2P) and outdoor (GPS) testing, saving $15K per license. Collected metrics via SSH (Cradlepoint R1900) and throughput via curl/iperf (TCP-UDP). WiFi data parsed via nmcli/iwconfig- Developed a cost-effective QGIS/PyQGIS mapping solution (indoor/outdoor reports), cutting license costs by $5K/user by qchainage/mmqgis modules- Built Python regex parsers to accelerate file comparisons, boosting engineer productivity by 5–10% in daily tasks- Developed a Python-based solution to convert Planet coverage prediction TIFF files into polygons, enabling free QGIS-based geo-filtering and analysis. Eliminated dependency on paid licenses, saving the company $5K/user in software costs.
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