Career record

Ericsson, Malmö, since 2020. From algorithm design to leading the program, then back to the front of the research.

01 What I work on

Wireless systems
5G/6G radio architecture, massive MIMO and antenna systems, beamforming, wireless sensing, end-to-end system engineering.
Signal processing + AI
DSP, digital pre-distortion, nonlinear modelling, machine learning for impairment compensation in radios.
Photonics
Coherent optical links and ML for nonlinear phase-noise mitigation, from my MSc at Lund University.
Hardware
ASIC architecture, FPGA platforms, HW/SW co-design, power and thermal optimisation, prototype build and validation.
Leadership
Multi-site programs of 25 to 65 engineers, technology roadmaps, and turning research into something that ships.

2024-12 – now
6G Prototype Technical Lead
Leads next-generation wireless systems from early research concept to validated prototype.
- Defines future wireless system architectures and technology roadmaps.
- Runs feasibility studies and prototype programs from concept through demonstration.
- Drives AI and machine learning into communication systems and energy-efficient radio.
- Leads about 30 senior engineers across hardware, software, signal processing and AI.
2022-01 – 2024-12
Technical Program Manager, Digital Pre-Distortion
Ran a multi-site DPD program across five ASIC generations and three FPGA implementations.
- Led 65 engineers end to end; cut time to market by 15 %.
- Brought in new technology nodes for better energy efficiency in antenna systems.
- Advised leadership on technology and cost impact at product and platform level.
2021-01 – 2022-01
Implementation Team Lead, Digital Pre-Distortion
Led a team of 25 in ASIC development, focused on power and design resilience.
- Cut ASIC power consumption by 31 %, enabling the next generation of RF radios.
- Bridged product engineering with partner and customer teams.
2020-03 – 2021-01
Algorithm and ASIC Designer, System Simulation
Designed ML-based hardware models for system simulation.
- Raised verification coverage by 35 % and halved verification time.

Machine learning enabled nonlinear phase noise mitigation for coherent optical systemsMSc Photonics thesis, Lund University, Atomic Physics Division, 2020
Entangled photon virtual-state spectroscopyBSc Physics thesis, Universidad de los Andes, Quantum Optics Research Group, 2017
Transformer DPD for non-linear power amplifiers in multi-carrier signalsTommaso Baroni, MSc thesis, Universidad Politécnica de Madrid, 2024. Industrial supervisor
Adaptive Kalman filter digital pre-distorter for non-linear power amplifiersJonathan Foley, MSc thesis, Lund University, 2021. Industrial supervisor

2018–2020MSc PhotonicsLund University, Sweden; research at KTH and RISE Kista, Stockholm
2013–2018BSc PhysicsUniversidad de los Andes, Colombia
2014–2018Minor in Electrical EngineeringUniversidad de los Andes, Colombia