AI & ML Engineering

𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗮𝗹 𝗔𝗜 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 | 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 | 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 | 𝗔𝗜 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 I design and scale enterprise-grade AI architectures — production-ready Generative, Agentic, and Multi-Agent AI platforms. With 12+ years across platform engineering and distributed systems, my work focuses on where AI moves from prototype to enterprise: governed, observable, scalable, and cost-controlled. At Zoom, I contributed to AI platform initiatives bridging developer ecosystems with modern AI. Today, I architect reusable platform foundations for agent orchestration, lifecycle governance, distributed execution, and scalable deployment. 🔐 𝗔𝗜 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 & 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗦𝗮𝗳𝗲𝘁𝘆 A core thread across my work is making AI systems audit-ready and policy-bound — designing authentication and authorization layers (Azure AD / Entra ID, OAuth2, IAM SigV4, JWT) with pluggable AuthProvider patterns, multi-account topologies for tenant isolation, cross-account observability (ADOT + PrivateLink), and cost governance through gateway routing and credit-based metering. Enterprises don't just need AI that works — they need AI that's auditable, cost-controlled, and policy-bound. That's the layer I architect. 🤝 𝗦𝘁𝗮𝗿𝘁𝘂𝗽 & 𝗙𝗼𝘂𝗻𝗱𝗲𝗿 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 I partner with startups to design AI-native products from day one — system design, platform strategy, multi-agent workflows, LLM integration — helping founders move from concept to scale without crippling technical debt. 🎓 𝗠𝗲𝗻𝘁𝗼𝗿𝘀𝗵𝗶𝗽 & 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 Through YouTube (youtube.com/codeztech), atiqueahmed.com, codeztech.in, and GitHub (github.com/codeztech-atique), I've mentored 20+ developers into top companies — covering Hugging Face, Ollama, PyTorch, Node.js, React, Angular, AWS, and system design. 🔹 𝗖𝗼𝗿𝗲 𝗙𝗼𝗰𝘂𝘀 𝗔𝗿𝗲𝗮𝘀 Generative AI (GenAI) & Agentic AI Multi-Agent Systems (MAS) LLM Architecture & RAG AI Governance, Lifecycle Management & Policy Enforcement Auth Architecture (OAuth2, SigV4, JWT, Entra ID) AI Platform Engineering & Distributed Systems Cost Governance & Cross-Account Observability Autonomous Workflow Design 🏆 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 Guinness World Record holder (Programming Excellence) Designed scalable AI platforms used at enterprise scale Enabled startups to launch AI-powered MVPs rapidly Delivered technical workshops and architecture sessions If you're building the next generation of governed, enterprise-grade AI systems — 𝗹𝗲𝘁'𝘀 𝗰𝗼𝗻𝗻𝗲𝗰𝘁.

I am an AI executive with more than 25 years of experience leading technology transformation across enterprise organizations, with the past eight years focused specifically on artificial intelligence, machine learning, and large-scale automation. I currently lead enterprise AI delivery for a top-10 global corporate and investment bank, where I work directly with business and technology leadership to define AI strategy, implement generative AI solutions, and build governance frameworks for responsible AI adoption. In addition to my executive role, I teach graduate-level AI and machine learning programs at leading universities, helping professionals translate complex AI concepts into real-world applications. Across my career, I have built and led enterprise AI capabilities, hired and mentored AI talent, and advised senior executives on AI strategy, organizational design, and transformation. I coach professionals who are looking to break into AI leadership or advance into Director, VP, and executive-level AI roles, and I provide practical guidance based on firsthand experience leading AI programs in complex, regulated enterprise environments.

Welcome to my profile! With a robust background in AI and machine learning, I currently serve as a Global Data Science Architect at Caterpillar, where I lead innovative data-driven solutions. My journey includes pivotal roles at Verizon, where I spearheaded the design and deployment of advanced AI architectures and mentored a high-performance AI/ML engineering team. As a Data Science & AI Mentor at GUVI Geek Networks, I've guided over 5,000 learners through comprehensive AI curriculums, helping them transition into successful careers. My experience spans from developing predictive analytics and recommendation engines to delivering guest lectures at premier institutions. If you're looking to break into AI/ML engineering or elevate your skills, let's connect and create a tailored plan for your success!

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 Artificial Intelligence from the Indian Institute of Science and extensive experience in AI and machine learning, I am passionate about helping others excel in this dynamic field. As an experience industry expert, I lead initiatives in Explainable AI and large-scale data solutions, while also delivering training sessions to foster continuous learning. My previous roles at krutrim.com and Jio Platforms Limited involved cutting-edge research in multimodal AI and computer vision, resulting in published papers and innovative projects. Having coached over 100 individuals, I am dedicated to guiding aspiring AI/ML engineers through personalized mentorship and practical insights. Let's connect to elevate your career in AI and machine learning!

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 worked in AI since 2015 and hold a Ph.D. in Computer Science. I'm an NVIDIA DLI Certified Instructor for Building Agentic AI Applications with LLMs and a University Ambassador. My experience includes a Data Scientist role at the University of Pennsylvania and joint AI research collaborations with researchers from Stanford, Johns Hopkins, and Penn. At UVU, I teach machine learning and LLMs and lead technical work on DataGovAI, a multi-agent RAG project with the Utah Office of Data Privacy. I offer technical, behavioral, and hiring-manager mock interviews for AI and ML roles. Technical rounds can cover Python, NumPy and pandas, ML fundamentals, embeddings and retrieval evaluation, agents, or AI system design. For nontechnical rounds, we'll practice role fit, project deep dives, impact, teamwork, and stakeholder communication using real examples from your experience. Bring your job description and a shareable practice prompt. We'll choose one focus, work through realistic follow-up questions, and identify concrete preparation priorities.

Ready to accelerate your career? Whether you’re interviewing for a new role, learning to leverage AI effectively, pursuing a promotion, or navigating a high-stakes workplace challenge, I’ll help you focus on what matters, make decisive moves, and build a clear path forward. I coach Data Science, ML, and Analytics professionals to sharpen their positioning, increase their leadership impact, excel in interviews, and advance into more senior roles. I’m a Director of Data Science at Upstart and a former leader at Netflix and Stitch Fix. I’ve led organizations of 25+ people across diverse domains and developed talent from early-career ICs to distinguished experts and managers. I know what senior leaders and hiring managers expect, and I’ll give you the candid, practical guidance to reach the next level.

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 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!