Alexis Roos
NLP EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI executive, builder, advisor and investor, ex Amazon, Twitter, Salesforce, Sun Microsystems, ..
EXECUTIVE SUMMARY: • AI executive with 20+ years in technology and 13+ years leading AI/ML organizations at Amazon, Twitter, and Salesforce. • Proven track record of defining AI strategy and building high-performing applied science, data, and ML engineering teams delivering enterprise-scale impact across both consumer and enterprise domains, including supply chain, fashion-tech, marketing & sales, trust & safety, and enterprise SaaS. • Deep expertise in generative AI (LLMs, RAG, and agentic systems) with a focus on translating emerging technologies into production systems with measurable business outcomes and driving adoption of AI capabilities across product, operations, and business workflows. • Experienced in building and scaling reusable AI/ML platforms enabling enterprise-wide adoption across multiple domains, while establishing scalable AI platforms, governance frameworks, and responsible AI practices. CORE EXPERTISE: • AI Leadership & Strategy: AI roadmap ownership, org design, executive stakeholder alignment, platform strategy • AI & Machine Learning: Generative AI, LLMs, agentic systems, NLP, computer vision, recommender systems, forecasting, graph ML • Engineering & Data: Distributed systems, ML infrastructure, Spark/Scala, Python, PyTorch, TensorFlow, SQL/NoSQL • Governance & Scale: Responsible AI, model evaluation, production reliability, enterprise deployment
Aix-Marseille University
Master's degree + 1 year towards PhD, Computer Sciences
January 1, 1990 – January 1, 1994
Stealth Startup
Founder
April 1, 2026 – Present
Amazon
Sr Manager, Applied Science
March 1, 2021 – March 1, 2026
Seattle, Washington, United States · On-site
Sr Manager, Machine Learning
September 1, 2019 – March 1, 2021
San Francisco, California, United States · Hybrid
Salesforce
Director, Machine Learning and Data Science, Einstein.ai
June 1, 2016 – August 1, 2019
Palo Alto, CA
Radius Intelligence
Engineering Manager, Data Science and Engineering
July 1, 2014 – May 1, 2016
San Francisco Bay Area
Driven Inc. & Couchbase
Senior Architect
May 1, 2013 – June 1, 2014
San Francisco Bay Area
Oracle Corporation
Architect
February 1, 2010 – April 1, 2013
Santa Clara, CA
Sun microsystems
Principal Engineer
October 1, 1999 – February 1, 2010
Santa Clara County, California, United States
Bell Atlantic
Software Engineer
February 1, 1998 – October 1, 1999
Washington DC-Baltimore Area
Steria Mediterranee & Axime Ingenierie
Software Engineer
May 1, 1995 – February 1, 1998
France
Convolutional Neural Networks
Coursera Course Certificates
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Fine-tuning & RL for LLMs: Intro to Post-training
DeepLearning.AI
June 24, 2026 – Present
Agentic AI
DeepLearning.AI
June 24, 2026 – Present
Fundamentals of Reinforcement Learning
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a consistent focus on cutting-edge AI/ML applications across diverse industries (e-commerce, social media, CRM, business intelligence). Their experience in both established tech giants and a stealth startup indicates adaptability and an entrepreneurial spirit. The breadth of skills and project diversity, from supply chain optimization to fashion retail and trust & safety, suggests a versatile individual who can thrive in dynamic environments. The continuous pursuit of certifications in advanced AI topics further reinforces a proactive learning culture.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and management skills, having led multiple large-scale technical teams. Their experience in driving product development from conception to launch, coupled with a focus on business impact (e.g., increasing store engagement, preventing platform abuse), indicates a results-oriented and strategic mindset. The ability to collaborate with core AI teams and manage complex projects suggests strong operational fit for senior roles requiring cross-functional leadership.