AI & ML Engineering

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!

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!

I’ve built state-of-the-art AI systems in real-world settings—from agent models for a boutique investing firm to the first AI mental health coach with functioning long-term memory. Alongside this work, I’ve taught and facilitated AI courses at Stanford, helping students master machine learning and generative models. My focus is on turning advanced research into practical, working products and coaching others to do the same.

With over 30 years of experience in the data industry—13 of those focused on data science—I’ve had an incredible journey through roles like Data Scientist, Senior Data Scientist, Head of Data Science, and now Chief AI and Data Officer. Along the way, I’ve overseen major data initiatives, built high-performing teams, and developed a deep understanding of what it takes to succeed in this field. For the past 15 years, I’ve been passionate about coaching in data science and artificial intelligence. I’ve helped professionals land their first internships, secure their dream jobs, and grow into leadership roles. I’ve reviewed thousands of resumes, interviewed hundreds of candidates, and learned exactly what stands out in a competitive market. What I truly enjoy is helping data scientists and managers take that next big step in their careers. Whether you’re just starting out or looking to climb higher, I’m here to guide you, share practical advice, and help you unlock your potential in the ever-evolving world of data science. Let's connect and see how I can help you!

Welcome to my profile! I am currently a Senior Machine Learning Engineer at Etsy, where I focus on search, ads, ranking, and retrieval. I also serve as an Adjunct Instructor at NYU's Courant Institute of Mathematical Sciences where I have been teaching for over four years. Additionally, I hold an MS in Data Science from Columbia University and led data science initiatives at Peacock. At both Peacock and Etsy, I have experience with mentoring junior engineers and data scientists as well as leading technical interviews. My experience equips me to guide aspiring AI/ML engineers in mastering the skills needed to excel in this field. Let's connect and chart your path to success as an MLE!

Clustering Models, Neural Networks with Keras & TensorFlow, Data Strategy

I have led AI and product strategy at OpenAI, Spotify, and Coinbase, guiding teams that deployed GPT-powered assistants, predictive analytics, and generative systems across marketing, personalization, and operations. My experience spans end-to-end delivery using tools such as OpenAI API, Claude, Gemini, Vertex AI, Azure AI Studio, AWS SageMaker, LangChain, Hugging Face, Pinecone, Weaviate, and LlamaIndex. I help founders and executives translate emerging AI capabilities into measurable business outcomes. Together we identify the highest-leverage opportunities, prototype with tools like Streamlit, Zapier, and Replit, automate workflows through API orchestration and vector search, and scale what works. Clients I’ve worked with have launched internal copilots, improved team efficiency, and unlocked new revenue streams through applied AI strategy.

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 started my career by founding a quant hedge fund, where we used a variety of ML techniques to build predictive models. Then I founded a YC-backed AI infra startup called Superpowered AI. We built one of the first RAG-as-a-service platforms, where we served over 10k users. I now work as an AI coach and consultant and maintain a popular open-source AI project called dsRAG, which has 1.5k stars on GitHub.