CV
EMIR K ULUSOY
Staff Engineer
| emir.kursad.ulusoy@gmail.com | (925) 247-4797 | Denver, CO | linkedin.com/in/emir-kursad-ek-ulusoy-09113b26 |
PROFESSIONAL SUMMARY
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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.
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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.
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Patented software for Big Data and ML: Developed LTE PIM Catcher (Patent #10009784).
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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.
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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.
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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.
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Developed a cost-effective QGIS/PyQGIS mapping solution (indoor/outdoor reports), cutting license costs by $5K/user by qchainage/mmqgis modules.
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Built Python regex parsers to accelerate file comparisons, boosting engineer productivity by 5–10% in daily tasks.
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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.
PROFESSIONAL EXPERIENCE
Dish Network, Littleton, CO
Staff RF Engineer Aug 2024 – Current
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Produced 100+ executive reports and presented findings quarterly to 4+ C-level executives, informing strategic initiatives worth $500M+.
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Optimized big data and GIS processing through transformative coding techniques in SQL/Python, achieving 10-100x performance improvements.
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Formulated 5G user-level capacity models incorporating distance, throughput (up to 1 Gbps), and accessibility KPIs; successfully validated across multi-vendor scenarios, improving network planning accuracy by 50%.
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Developed Python automation for 5G cell footprint analysis across 40+ markets; processed 24,000+ sites for layer management, overshoot detection, and coverage optimization.
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Created Python-based 5G planning tools that forecasted traffic patterns and capacity limits across 300,000+ cells.
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Maximized revenue generation by transforming 5G network optimization into quantifiable business impact. Managed budget allocation by modeling incremental revenue against deployment costs, achieving 1.5:1 ROI through fact-based cost optimization strategies.
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Leveraged scalable GIS methodologies and petabyte-scale data fusion (5G traffic, signal quality, subscriber mobility) to calculate net profit impact, guiding high-ROI investment decisions while reducing investment analysis time by 80%.
KCCTech, Walnut Creek, CA
RF Subject Matter Expert Dec 2017 – Apr 2024
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Hands-on testing and validation of cellular networks (5G NR/4G LTE/WiFi/Bluetooth/CBRS/GPS) via OTA field testing and lab RF box methods for 40+ RAN equipment, Apple and Android devices, modems, CPEs, and AR/VR hardware.
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Collaborated with multidisciplinary teams to debug HW/SW/framework issues across L1 (PHY), L2 (MAC/RLC/PDCP), and L3 (RRC/NAS) protocol layers for 40+ devices. Facilitated knowledge sharing between engineering teams. Coordinated with vendors to certify compliant UEs through effective communication and partnership.
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Led a cross-functional team of 12 engineers in 5G/NR testing and FCC/carrier approvals for Dish/Boost, covering debugging, analysis, and reporting.
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Diagnosed and resolved RF and protocol stack anomalies. Improved low throughput, handover/access failures, call drops, short battery life, device overheating, and MIMO/antenna performance for 30+ UEs using QCAT, QXDMA, Wireshark, XCAL/XCAP, and TEMS. Validated fixes through iterative lab testing and field trials.
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Scripted 5G/4G Open RAN testing with lab tools: VNA (VSWR/S-parameters), VSA (EVM/IQ), oscilloscopes (jitter), and spectrum analyzers (interference analysis via SignalHound HW) across 15+ test scenarios.
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WiFi 802.11a/b/g/n/ac/ax testing, including channel clarity validation across 20+ deployment scenarios.
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Built strong client relationships with 8+ major clients by advising on 5G/4G/WiFi testing methodologies. Served as technical liaison between internal teams and clients, facilitating consensus on technical solutions.
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Advanced reporting in Power BI, Tableau, Excel, and Business Objects with 100% data accuracy.
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End-to-end data testing with a 95% ETL validation success rate, analytics, performance/integration/regression testing, and documentation.
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5G NR/VoNR/ViNR/VoLTE/LTE/CSFB testing and analysis by XCAL and XCAP, Nemo, TEMS Investigation and Discovery, QXDMA, and Wireshark tools during 250+ site, carrier, cluster, and FCC approval processes.
Yupana Inc, Walnut Creek, CA
Senior RF Engineer Aug 2014 – Nov 2017
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Streamlined workflows for MS Office, SAP Business Objects, and drive test tools (TEMS Discovery, Genex Assistant, and Nemo); reduced data processing time by 70%.
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Calculated 1,000+ LTE link budgets for target cell-edge throughput under UL/DL noise rise conditions with Atoll.
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Computed 12+ complex KPIs for social media apps (Facebook, Twitter, Instagram) and CSFB performance via Nemo Analyze.
Plano, Astana, KZ
RF Engineer Nov 2009 – Aug 2014
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Conducted 75+ network benchmarks, including parameter trials and feature activations; delivered comprehensive results through customer reports.
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Performed radio network design by Atoll and resolved 300+ issues related to coverage, overshoot, and interference.
EDUCATION
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Kocaeli University, Turkey : Bachelor of Science in Electronics Engineering (BSEE Degree) GPA: 3.47/4.0
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Kocaeli University, Turkey : Master’s Degree in Electronics and Computer Education (in progress)
TECHNICAL SKILLS
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Programming and Development: Python, SQL, JavaScript, Linux, IBM WatsonX AI agents, Bash Scripting.
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Database and Data Management: Snowflake, AWS Athena, AWS Redshift.
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Data Analysis and Visualization: Tableau, Power BI, PyQGIS, QGIS, SAP Business Objects, Spreadsheets, GIS, Mapinfo.
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Networking and Telecommunications: Test Case Automation, Network Design, Actix, AT&T and T-Mobile KPI tools, Atoll, Debugging logs, Ericsson ENM/OSS, Trace, Failure/Log Analysis, iBwave, IoT, iPerf, IT/IP Network, Moshell, Nemo Analyzer, Open RAN, OTA testing, QXDMA, RF troubleshooting, Samsung/Mavenir NW, TEMS Investigation, VoLTE/VoNR Analysis, Wireshark, XCAL Accuver, XCAP Accuver.
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Hardware and Embedded Systems: Antenna testing, GPIO, I2C, Oscilloscope, PCB schematics, Raspberry Pi, RF box testing, Site Master, Soldering, VNA, VSA, Spectrum Analyzer, LabVIEW.