NICOLAS GARCIA

Vice President Engineering

Nicolas Garcia is a technology executive with over 20 years of experience in driving innovation, scaling global teams, and delivering transformative solutions across various industries, including regulated environments. He possesses a proven ability to align technical strategies with business objectives, foster innovation, and drive efficiency to achieve sustained growth.

His expertise includes AI/ML, Machine Learning, and robotics. He has hands-on experience developing neural networks for anomaly detection, monitoring over 12,000 field-deployed sensors, and integrating Google TensorFlow for AI-Powered Demand Forecasting. Nicolas has also established company-wide guidelines for implementing and utilizing Large Language Models (LLMs) and set up Retrieval-Augmented Generation (RAG) infrastructure for AI agents, which led to a 35% drop in service calls. His technical background in this area is further supported by a Machine Learning Specialization from Coursera. He has researched and deployed robotics and computer vision technologies for industry-specific challenges.

Nicolas has a strong track record in team leadership and organizational scaling, having grown a San Francisco engineering team from 10 to over 50 engineers and built a Philippines-based subsidiary with 12 software developers. He has hired, mentored, and coached remote engineering teams across Africa and India, cultivating high-performance, collaborative, and high-trust, low-ego cultures. His leadership extends to strategic alignment, process optimization through Agile methodologies, and enhancing system architecture. He holds 8 granted patents in LIDAR, IoT, and Logistics, showcasing his dedication to technology innovation.

Academically, Nicolas holds an MBA in Data Analytics and Entrepreneurship from the University of Illinois, Urbana-Champaign (2024), and a BA in Finance and Econometrics from the University of California, Berkeley (1995). He is proficient in English and fluent in French.

His professional interest lies in working for a company managing a team of engineers in Machine Learning and robotics, driven by his ongoing fascination with these fields.