Dhruval Potla

Telecom & RF Engineer

Dallas, Texas · hello@dhruvalpotla.com

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Making the complex clear. Bridging the gap between engineering, systems, and real-world impact.

Experience

Technical Project Coordinator — RF Safety & Compliance

Feb 2025 — Present

Mobilecomm Professionals Inc. · Richardson, TX

  • Spearheaded end-to-end project management for Verizon's DAS, EME, and Small-Cell / CRAN RF Safety programs — delivered 350+ predictive and on-field EME compliance reports, the highest project volume to date.
  • Primary client liaison for Verizon and AT&T CRAN EME / RFE engagements — owned technical accuracy, schedule adherence, and cross-team communication across multiple concurrent high-volume programs.
  • Directed AT&T's National CRAN Certification Letter initiative — managed certification and documentation for 1,000+ CRAN nodes nationwide.
  • Implemented automation frameworks for data management, report generation, and QC workflows — reduced manual effort, cut human error, accelerated turnaround.
  • Operated FUZE, IXUS, and custom in-house automation to maintain stringent quality control and regulatory compliance across every deliverable.

RF Engineer — FCC Compliance Test Team

Oct 2023 — Feb 2025

GCB Services · McKinney, TX

  • Led a team in planning, executing, and developing methodologies for FCC Compliance testing of 400+ Hex-7's for DISH Wireless 5G NR infrastructure.
  • Applied advanced RF optimization — cluster testing, ATP, 5-2-2, and XCAP — to improve network performance, call quality, and efficiency.
  • Developed a live tracker that surfaced tester locations in real time on Google Earth via custom KML layers — materially improved field visibility and PM efficiency.
  • Generated EME compliance reports for Verizon using IXUS, RoofMaster, and FUZE — communicated exceedance issues to clients and automated the most repetitive parts of the workflow.

Research Lead — Chip-less RFID Development

Sep 2022 — May 2023

WINGS Lab, University at Buffalo · Buffalo, NY

  • Improved tag-reading accuracy by 40% by developing an SDR-based chip-less RFID reader.
  • Authored an Out-of-Tree (OoT) block in GNU Radio adding dynamic center-frequency adjustment — Linux + Python.
  • Reduced physical-prototyping cost by optimizing tag designs through CST Studio simulations.
  • Optimized tag geometry against measured S-parameters using a Vector Network Analyzer.

Education

M.S. Electrical Engineering

SUNY University at Buffalo

Jan 2022 — May 2023

B.Tech Electronics & Communication Engineering

SRM University, Chennai, India

2016 — 2020

Certifications

Cisco Certified Network Administrator (CCNA) 200-301

Cisco · 2024

FAA Part 107 — Remote Pilot Certificate

Federal Aviation Administration · 2023

Toolkit

RF & COMPLIANCE IXUS · Roofmaster · FUZE · Atoll · MapInfo · XCAP · FCC OET-65 · ICNIRP / Safety Code 6
DESIGN & SIMULATION CST Microwave Studio · Advanced Design Systems (ADS) · QUCS · GNU Radio
HARDWARE Vector Network Analyzer (VNA) · Spectrum Analyzer · Software Defined Radios (SDR) · Arduino · Raspberry Pi · LoRaWAN · 8051 / CC2650
LANGUAGES Python · MATLAB · C / C++
DOMAIN 5G NR / DAS / Small-Cell / CRAN · EME Modeling · Drive Test & Post-Processing · Automation / QC Tooling

Selected projects

Verizon National EME Compliance Pipeline

350+ predictive and on-field EME compliance reports delivered across DAS, small-cell, and CRAN — the highest single-engineer volume on the program.

AT&T National CRAN Certification Letter Program

Directed certification and documentation for 1,000+ CRAN nodes nationwide. Built the template system, QC gates, and automation that kept deliverables consistent.

DISH 5G NR FCC Compliance — 400+ Hex-7 Sites

Led methodology development and execution for FCC compliance testing of 400+ Hex-7 nodes for DISH Wireless 5G NR infrastructure.

Real-Time KML Tester Tracker

Built a live tracker that pushed field-tester GPS positions onto Google Earth via custom KML layers — turned a black box into a dashboard. (GitHub)

SDR-Based Chip-less RFID Reader

WINGS Lab research at University at Buffalo — improved tag reading accuracy by 40% via a software-defined-radio reader, plus a custom Out-of-Tree GNU Radio block.

Low-Noise Amplifier (LNA) Design — QUCS

End-to-end LNA design and simulation with QUCS — gain and stability (S21) targets surpassing the original spec. (GitHub)