AI for Product Development

Hello! My name is Dheeraj. I am a Product Manager at Capital One on an AI/ML team in the US Card organization. Prior to Capital One, I spent a few summers with IBM as a Cloud and Data & AI Engineering Intern respectively, along with a summer with KPMG as a Tech Strategy Consulting Intern. At Capital One, I lead the development & maintenance of 5 advanced ML models to predict customer behavior that shape Capital One's credit policies. I have deep expertise in recruiting for product management, management consulting, and other big tech roles. Would love to connect with anyone interested in AI/Product Management.

With a Ph.D. from Notre Dame and extensive experience in AI-native product development, I am passionate about helping clients harness the power of AI to drive business outcomes. As the founder of ClaimCode, I built a cloud-native, multi-tenant, SaaS application that processes PHI in a HIPAA compliant manner to give small, independently owned wellness practices the revenue cycle intelligence necessary to balance theri books and make sure their are fairly compensated. I have also developed find-your-fit.org as an online community for fitness and wellness enthuiasts and professionals to discovery and be discovered with a focus on each individual's unique fitness journey. As the Principal at Core Wrk, I focus on bridging the gap between AI tool access and real-world deployment, developing platforms like HelmFast and Employee Number Two to empower non-technical founders. My role as Assistant Vice President in the Product Management team at Verisk has equipped me with the skills to lead AI adoption initiatives, having successfully implemented AI systems that reclaimed significant resources and improved operational efficiencies. Whether you're looking to define, scope, deploy AI systems, or build your first AI-powered product, I'm here to guide you through the process. Let's connect and explore how we can achieve your AI product development goals together!

Welcome to my profile! With a robust background in software engineering and leadership, I am passionate about guiding professionals in AI adoption and product development. As the Founder and CEO of Mosaic Presence, I specialize in engineering leadership advising, focusing on AI enablement and mindset coaching. My experience as a Senior Engineering Manager at Salesforce and an Engineering Manager at Hazel Health has equipped me with the skills to lead teams in innovative product development. I have coached numerous individuals, helping them integrate AI into their product strategies effectively. Let's connect to explore how I can support your journey in leveraging AI for product development success!

I'm a Senior Manager of Technical Product Management at Amazon, where I've spent the last 7+ years at the intersection of finance and AI. I'm the architect behind Neo — Amazon's purpose-built GenAI solution for Accounting, spanning anomaly detection, reconciliation research, and close cycle acceleration, scaled to full global deployment and featured at the AWS Re:Invent CFO Forum. I hold an AWS Certified AI Practitioner certification and a Foundation of AI Security certification, and I've co-authored research published through Amazon Science on multi-agent accounting frameworks and self-improving financial reasoning agents. I don't just understand AI in theory — I've built it, deployed it at enterprise scale, and measured its real-world impact on the finance close cycle. Whether you're a finance leader trying to understand where AI fits in your function, or an accountant looking to future-proof your career, I bring both the practitioner depth and the strategic lens to help you navigate this transformation with confidence.

The only ones qualified are the ones actively building in this space. I'm building. I'm orchestrating the construction of an AI product, with AI-first principles at every level, from iteration, prototyping, product requirement documentation, to development, QA, scaling, security, and deployment. We're a nimble, cutting edge team, that is constantly ingesting new products/processes and applying what works to further our velocity and quality.

Hey! I’d like to imagine my background in AI and machine learning is robust enough to pass on help to others. I bring a wealth of experience from top-tier organizations like Microsoft and NASA. As a Data Scientist at Microsoft, I developed cutting-edge models and tools, enhancing AI capabilities and optimizing systems for high performance. My journey also includes impactful roles as an AI Consultant and Software Engineer, where I led projects that pushed the boundaries of AI applications. I have mentored interns and new engineers, helping them maximize their potential and impact. Whether you're looking to break into the AI/ML field or advance your career, I'm here to guide you with personalized strategies and insights.

With over 15 years of experience in product development and leadership roles at top companies like Comcast, Uber, and American Express, I have an expertise in building products. As a Vice President of Product at Comcast, I've been on the frontline of using AI tools to accelerate the product development process, bring agentic value propositions to customers, and sift through the hype to scale AI adoption across my organization. My coaching focuses on helping product professionals integrate AI into your product development process and strategic roadmap.

Building an AI product is two different hard problems: knowing what to build and actually shipping it. I've done both. As an AI Product Strategist at LinkedIn I took a GenAI recommendation product from zero to launch for 25 million users, leading a five person pod through opportunity discovery, PRD, UX design, and sprint execution. I co-defined the roadmap for two agentic AI tools with a $50M+ revenue target and got executive buy-in to build them. I know how AI products get scoped, funded, and shipped inside a real company, including the parts that kill most of them: fuzzy success metrics, demos that don't survive real users, and roadmaps built on model capabilities that don't exist yet. I also ship solo. My AI meal planning app reached 4,000+ organic users with 20% premium conversion, I cut its image generation costs by 92% with a custom model, and I build autonomous agents that run multi-step workflows end to end. So whether you're a PM trying to ship your first AI feature, a founder building an AI product, or a builder prototyping with Cursor and Claude Code, I've stood exactly where you are. We'll work on your actual product: sharpen the problem, scope the MVP, pressure test the AI approach, and get it in front of users. You leave with a product plan that survives contact with reality, and usually a working prototype too.

Welcome to my profile! With a Master of Science from Yale University and extensive experience leading AI-driven product initiatives, I am passionate about helping others break into the AI/ML field. As a Product Lead at Meta, I focus on developing and monetizing Video GenAI models, and previously, I spearheaded the launch of Coursera's LLM-powered AI tutor, which significantly enhanced learner engagement and success rates. My background includes leading product teams at Coursera and driving innovation in AI-powered platforms at EmployeeChannel. Whether you're looking to refine your skills or navigate the AI/ML career landscape, I'm here to guide you. Let's connect and chart your path to success in this exciting field! I write my AI PM learning here: https://liumelody.substack.com/

Growth-oriented product leader with 14+ years of experience building and scaling successful D2C and B2B products across high-growth startups and Fortune 500 companies, including leading AI-driven product areas at Uber. I specialize in helping aspiring AI PMs break in by leveraging my hands-on experience collaborating with applied scientists, managing ML models, and driving AI-powered product growth. Let’s work together to land your dream AI PM role or elevate your AI skillsets.