Work Experience

Designed and implemented reinforcement-learning–based decision systems for resource allocation in distributed infrastructure, emphasizing transferable policies and end-to-end RLOps lifecycle development.
Developed AI-driven automation pipelines, improving system efficiency, adaptability, and performance. Applied RL/ML techniques to 5G/6G network optimization, dynamic resource allocation, and automation.
Bridged simulation and hardware-in-the-loop workflows to validate AI-driven decisions and ensure reliable policy deployment across environments.
Mentored junior researchers and contributed to technical strategy and research direction.

Investigating how AI/ML Reinforcement Learning paradigm could help reduce latency for offloading processes in a vehicular ad-hoc wireless network.
Investigation skill.
Project planning.
Generation of new ideas, development, testing, and analysis.

Currently, as a PhD. Student, I support teaching for a few module at Northumbria University.

Delivery of the test SW project within the time plan and fulfilling the requirement of the different stakeholders, design, and product quality departments.
Propose new ideas to maintain test SW and HW development.
Keeping updated the backlog using Agile methodology.
Involvement in the early phase of the project to originate ideas to develop the test SW.
Leading a team of 10 engineers.
Create a training plan for new test development engineers.
Perform data analysis to detect any insight for problems in the hardware or software from production databases.

Development of software for the testing DUT, C#/C++.
SW for testing Rx, Tx calibration, VGA, Step attenuators, Pa, Rx, and Tx Performance.
Working on the investigation with RF Base Station LTE and 5G. MIMO, Chamber OTA test for PIM issues.
Improve the test time of the SW by developing new automation in RF instruments VNA, SG, SA, Power Amplifiers.
Research for 3GPP standard for 5G and for testing RF equipment for LTE and 5G such as OBUE, ACLR.
Perform data analysis to detect any insight for problems in the hardware or software from production databases.
Leading investigation with verification engineer, designing engineer, and product engineer to improve the products.

Investigation and development of Embedded SW for gathering data of the NB-IoT network RSSI, SNR.
Stablished communication between ARM to BG96 Module.

Investigation LTE protocol, bugs report to R&D.
Prepared training for co-workers.
Debugging SW for R&D, BS radio SW for LTE.
Configured different LTE networks and working closely with Operators.
Find HW issues such as VSWR, damaged Filters.
Studying constantly 3GPP standards for UE, BS, and EPC communication protocols, and procedures such as handover, and data call, etc.

Ericsson & Manpower & Movistar Colombia.

Led the LTE optimization group.
Use of RF equipment (Spectrum Analyzer, Nemo, TEMS) for monitoring and optimization.

RF field investigation to find interference, and coverage map.
Network Planning and supervised the deployment of the LTE sites in Barranquilla, Colombia.
Data Analysis of Drop Calls, Data Drop, access failure KPIs. Built a tool in Access to monitor the KPIs of the LTE Network.
Discovered and applied a new feature on the LTE Network to attach the UE in 4G faster after a call voice.

Led the coverage-team in Barranquilla for a government project on behalf of Telefonica Moviles Colombia S.A.

Built a tool in VB to run some throughput tests for the root metric in Colombia.
Developed a Macro in Excel to discard all the sites that were affected by alarms, with this, the KPIs.
Managed the complete Barranquilla KPI’s database.

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