Carlos Alberto Aguilar Lazcano
Xalapa
Summary
Innovative Machine Learning Engineer with a proven track record at Samsung Electronics, specializing in model optimization and edge computing solutions. Demonstrated leadership in cross-functional teams, enhancing model performance and reducing inference time. Skilled in Python and project management, with a focus on impactful research and development in AI technologies.
Developed skills in data analysis and algorithm optimization within collaborative, fast-paced tech environment. Effective in translating complex data into strategic insights and solutions. Eager to transition to new field, bringing expertise in machine learning and passion for continuous learning and adaptation.
Overview
4
4
years of professional experience
Work History
Machine Learning Engineer
Samsung Electronics
04.2023 - Current
- Conducted research and development on edge computing solutions for smart TVs, including model improvement and full ML pipeline development — from data acquisition and synthetic data generation to model training and evaluation.
- Enhanced model performance metrics across various architectures, and reduced inference time for LLMs through optimization techniques such as model pruning.
- Designed and refined architectures for computer vision, LLMs, SLMs, and VLMs (multi- and unimodal), improving efficiency and accuracy in experimental deployments.
- Developed ML pipelines leveraging PyTorch, OpenCV, Hugging Face, and cloud-based infrastructure via Samsung SDS and AWS.
- Collaborated with cross-functional teams in the United States, leading a research project with minimal supervision from direct management.
- Delivered experimental solutions meeting performance targets, contributing to internal research capabilities for potential integration into future Samsung products.
Postdoctoral Research Fellow
CENTRO DE INVESTIGACIÓN CIENTÍFICA Y DE EDUCACIÓN SUPERIOR DE ENSENADA, BAJA CALIFORNIA
01.2022 - 03.2023
- Led the design and development of a biometric data acquisition device for search-and-rescue and therapy assistance dogs, capturing surface temperature, heart rate, motion (IMUs), and synchronized RGB video via a custom Android mobile application.
- Managed a multidisciplinary team of three engineers (two in software development, one in mechatronics with an M.Sc. in Electronics), coordinating mechanical, electronic, software, and firmware design from concept to functional prototype.
- Oversaw fabrication processes, including 3D printing, PCB prototyping (in-house and external vendors), and full system integration for field deployment.
- Achieved functional prototypes and successful field tests, resulting in one granted patent, one pending patent, and advanced TRL certification from SEIHTI, securing funding for commercial-scale development.
- Established collaborations with INAOE, UATX, and UADY, and contributed to conference presentations, workshops, and manuscripts (under review).
- Pioneered new research lines such as canine vocalization analysis for integration with intelligent voice assistants (e.g., Alexa, Google Home), winning second place in Intel’s Artificial Intelligence competition in Mexico.
- Delivered a project recognized for its potential societal impact, opening pathways for multimodal sensor fusion and AI integration in animal-assisted interventions.
Education
Ph.D. - Artificial Intelligence
Universidad Veracruzaba
Xalapa, Veracruz, Mexico01-2021
Master of Science - Electrical, Electronics And Communications Engineering
Tecnologico Nacional De México
Orizaba, Veracruz, Mexico12-2015
Mechatronics Engineering
Universidad De Xalapa
Xalapa, Veracruz, Mexico09-2012
Skills
- Hard Skills (técnicas)
- Machine Learning & AI
Model development & optimization (LLM, SLM, VLM, Transformers, CNNs)
Model optimization - Programming & Tools
Python, PyTorch, OpenCV, Hugging Face
Firmware & embedded systems programming (ESP32, IMUs, sensors)
PCB design & prototyping - Hardware & Prototyping
Digital fabrication (3D printing, PCB manufacturing)
Integration of sensors: IMUs, RGB cameras, IR temperature sensors
Embedded systems for biometric monitoring - Cloud & Edge Computing
Samsung SDS Cloud, AWS
On-device/edge AI optimization - Research & Academia
Academic writing (papers, proposals)
International collaboration (US, UK, multiple Mexican institutions)
Patents & technology readiness level (TRL) advancement
- Soft Skills
- Team leadership & project management
- Cross-disciplinary collaboration
- Mentorship & coordination with engineers from multiple specialties
- Problem-solving in applied R&D environments
Languages
English
Upper intermediate (B2)
Spanish
Bilingual or Proficient (C2)
Timeline
Machine Learning Engineer
Samsung Electronics
04.2023 - Current
Postdoctoral Research Fellow
CENTRO DE INVESTIGACIÓN CIENTÍFICA Y DE EDUCACIÓN SUPERIOR DE ENSENADA, BAJA CALIFORNIA
01.2022 - 03.2023
Ph.D. - Artificial Intelligence
Universidad Veracruzaba
Master of Science - Electrical, Electronics And Communications Engineering
Tecnologico Nacional De México
Mechatronics Engineering
Universidad De Xalapa
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