AI & ML Engineering Coaches

With a robust background in AI and machine learning, I bring over a decade of experience from leading tech giants like Google and Microsoft. As the Senior Director of AI at Microsoft, I spearhead the development of cutting-edge Generative AI platforms, while my tenure at Google saw me leading AI services and pioneering frameworks that drove significant business impact. My academic journey includes executive education from Stanford GSB, focusing on corporate innovation and leadership, which complements my practical expertise. I've also shared my knowledge as a faculty member for AI courses at Rutgers University. Whether you're looking to break into the AI/ML field or advance your career, I'm here to guide you with tailored strategies and insights. Let's connect and chart your path to success!

I have worked with large enterprise customers such as KPMG and CIBC, as well as small to mid-sized startups, on developing and governing AI agents. I work with several of the Anthropic and OpenAI tools.

I'm a researcher at the University of Cambridge working on AI for neuroimaging. I have a PhD in Computational Neuroscience and nearly 10 years of experience building ML models across healthcare, energy, and tech. I've worked with everything from deep learning and computer vision to time-series forecasting and fraud detection. I can help you understand AI concepts, build models, or solve data science problems in a practical way.

Welcome to my profile! I'm Reza Fazeli, a Machine Learning Engineer at IBM with over 8 years of experience in the field. I have a Master of Applied Science in Mechanical Engineering from the University of Toronto. Throughout my career, I have worked at top tech companies like IBM and SoundHound Inc., where I have honed my skills in machine learning and AI. In addition to my industry experience, I have also served as a Data Science Instructor at Juno College of Technology and the University of Toronto School of Continuing Studies. I have coached more than 50 individuals in the past, helping them break into the exciting world of AI and ML. If you're looking to build a career in this field or need guidance on specific projects, feel free to reach out to me. Let's work together to achieve your goals!

Welcome to my profile! With a PhD in Industrial Engineering from the University of South Florida and extensive experience as an Applied Scientist at Amazon, I bring a wealth of knowledge in AI and machine learning to my coaching. I've led teams to develop cutting-edge systems that have generated significant revenue gains and operational efficiencies. My background includes designing advanced models for fraud detection and search engine optimization, as well as teaching and research in applied statistics and machine learning. Having coached 18 individuals, I am passionate about helping others excel in AI/ML engineering. Let's work together to achieve your career goals in this dynamic field!

Welcome to my profile! With extensive experience in talent acquisition and recruiting for top tech companies like Meta, Intuit, and Zoom, I specialize in helping individuals break into the competitive fields of AI and ML engineering. As a Principal at Hollestelle Holdings, I have partnered with industry leaders such as Allstate, Cisco, and RingCentral to develop tailored growth strategies, including talent acquisition. My background in People Analytics from The Wharton School further enhances my ability to guide you through the nuances of the AI/ML job market. Whether you're looking to refine your resume, prepare for interviews, or navigate the hiring process, I'm here to help you succeed. Let's connect and create a personalized plan to achieve your career goals!

I lead AI/ML engineering at fortune 500 companies building teams ships production ML and AI systems at 100M+ users scale. I've hired, managed, and promoted dozens of ML engineers across the US, Latin America, and India. I hold a US AI/ML patent and sit on various AI councils and Technology boards If you're trying to break into AI/ML engineering, move from IC to lead, or figure out what companies actually look for in engineers, I've been on the hiring side of that conversation countless times. I know what gets you in the door and what gets you promoted. Practical, current, and based on what I see every day, not what I read in a blog post.

Welcome to my profile! With a Ph.D. from Rutgers University and extensive experience as a Senior Software Engineer at Google, I specialize in AI and machine learning engineering. My career has been dedicated to building robust data frameworks and models, from enhancing safety features at Uber to curating geo data at Foursquare. At Google, I focus on data understanding and discovery, leveraging graph technologies to drive insights at scale. Whether you're looking to break into AI/ML engineering or advance your career, I'm here to guide you through the complexities of this dynamic field. Let's connect and chart a path to your success!

Welcome to my profile! With a robust background in data science and analytics, I bring over 10 years of experience from top consulting firms like PwC, Deloitte, and KPMG. As a Manager at PwC and a former Data Architect at Deloitte, I've honed my skills in AI and machine learning, helping clients leverage data-driven insights to drive strategic decisions. My journey in analytics began with a Master's degree from the University of Cincinnati, and since then, I've been passionate about mentoring professionals to excel in the AI-ML field. Whether you're looking to break into AI-ML or advance your career, I'm here to guide you through the complexities of this dynamic industry. Let's connect and chart a path to your success!

Official Mastra AI Agents Ambassador, building production RAG pipelines, MCP server connectivity, and multi-agent orchestration systems for enterprise clients. Udacity Machine Learning Engineer nanodegree. Sixteen years of cloud architecture across GCP, AWS, and Azure. Production AI systems delivered for Accenture and Capco clients in highly regulated industries where failure has real consequences. The sessions teach the engineering decisions that keep AI systems running past month one. Ideal for : Software engineers, ML practitioners, and technical leads building AI systems that need to survive contact with real data