Break Into AI Careers

Welcome! I'm a Senior Applied Scientist at Amazon (AGI Foundations), where I work on post-training and reinforcement learning for code-generation models. Before Amazon, I built text-to-video generation models at Pika (the post-training behind features like Pikaffects), co-founded and was CTO of Humanlike (YC S23), led document-AI products at Snorkel AI used by Fortune 500 companies, and did deep reinforcement learning research at Uber AI Labs — with published work at NeurIPS, ICLR, and CVPR and a master's from UC Berkeley. I've also sat on the hiring side at both startups and big tech, so I know exactly what AI teams screen for. Whether you're a student, a career-changer, or an engineer pivoting into AI, I'll help you pick the right lane (research vs. applied vs. engineering vs. product), build portfolio projects with the tools employers actually look for (PyTorch, Hugging Face, fine-tuning, RAG, LLM pipelines), position your resume and projects so they land, and prepare for technical and behavioral interviews. I've navigated a non-traditional path through research, startups, and big tech myself — let's connect and chart your path into AI!

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 AI and machine learning careers. As a former recruiting leader at Andreessen Horowitz, I have a deep understanding of what top firms look for in candidates. My current role as Principal at Hollestelle Holdings allows me to craft personalized strategies for career growth, leveraging my expertise in people analytics from The Wharton School. Whether you're looking to refine your resume, prepare for interviews, or navigate the competitive landscape of AI careers, I'm here to guide you every step of the way. Let's connect and chart your path to success in the AI industry!

You don't actually have to be technical to work in AI. As Head of Strategy & Ops at a high-growth AI startup, I'll show you what it takes to break into the industry.

I moved from consulting into tech and finance myself, so I know the version of this that actually works. You need something concrete to point at. At Deloitte I spent four years on cloud strategy and technology coverage. Since then I've built and shipped my own AI products, including the prep platform I run now. So I can talk through what a product actually does, and also tell you what a recruiter will care about. The clients who land offers usually have one thing in common. They stopped reading about AI and built something. With one MBA client we co-built a product project together, and it became the thing he talked about in every interview. He is now at a tech startup in San Francisco. If you're coming from consulting, finance, or another non-engineering background, that is the path I know best.

Hello! I work with candidates targeting product and product-adjacent roles: founding PM, forward-deployed engineer, deployment strategist, chief of staff, and strategic projects. Clients and friends have landed at companies like Coinbase, LinkedIn, TikTok, and Google. I was founding product lead on the global enterprise platform team at Quantinuum, a $17B advanced computing scale-up (NASDAQ: QNT). I shipped 0→1 API and on-prem security products, signed a $150B conglomerate as anchor customer, protected 3M users across NAMER/EMEA/APJ, and built the pricing, packaging, ABM, and partner motions that scaled into F500 accounts (HSBC, Roche, Aramco, Honeywell, Fujitsu). Earlier I ran strategic projects from the COO office on a $300M M&A deal covered in the FT and Bloomberg, and led self-serve product plus early commercial at LeaseMagnets (YC S21). Today I build and deploy AI agents into PE-backed services businesses and have taken LLM pilots through discovery with MOD UK, Microsoft, and Amazon. I take a full-stack approach from first shortlist to signed offer: company targeting and narrative positioning, resume and LinkedIn work for non-template backgrounds, company-specific interview dossiers, story banks on a real behavioral framework (not STAR), live product-sense and case reps, and offer negotiation. Best fit for candidates without a clean FAANG-shaped resume who need their actual path made legible to a hiring manager in ninety seconds. Ideal for: AI-native startups and frontier tech; career switchers from finance, consulting, or ops into product; founders and operators moving into PM, chief of staff, or strategic projects; international and non-US applicants; deep-tech and enterprise-platform PMs; anyone with a non-linear resume that needs a clear story. Feel free to reach out with any questions. Wishing you the very best.

I’m an AI Product Manager at Asana who builds GenAI products for a living — not just talks about them. I work hands-on with AI agents, automation, and real production systems, designing workflows and deploying AI tools that drive measurable impact. I help people break into AI by focusing on the skills that actually get you hired: practical GenAI knowledge, strong problem framing, real use cases, and the ability to apply AI in a business or product setting. If you want to cut through the noise, build real AI credibility, and confidently step into AI-focused roles, I’d love to work with you.

I moved from endowment investing into product BizOps at LinkedIn, and part of my role now is hands-on AI product work. Building things people can see is what opened doors for me, and it's how I coach. This is for professionals switching into AI-related roles: AI product, AI strategy and operations, solutions and implementation, and analytics on AI teams. Most of my 23 reviews come from career coaching, and clients have landed at Google, AWS, Bain, Deloitte, and LinkedIn. Together we'll: - choose the AI roles that fit your background, so you aren't chasing the wrong jobs - build one or two portfolio projects a hiring manager can click - rewrite your resume and LinkedIn profile around that work - prep for interviews, including how to talk about AI tradeoffs You'll leave with: - a target role list - a live portfolio project - a story that connects your background to the role you want

Breaking into AI is about more than learning the latest tools. Through my work with learning and career platforms globally, I bring that perspective on hiring expectations and help working professionals and students prepare for the realities of AI roles.

Hello and welcome to my profile! With a robust background in AI, analytics, and strategy from top-tier companies like Google and Wells Fargo, I am here to help you break into the exciting world of AI careers. My experience spans leading AI engineering projects particularly for AI Safety and managing cross-functional analytics initiatives, equipping me with the skills to guide you through the complexities of AI roles. I have a Master's in Business Analytics from the W. P. Carey School of Business, where I honed my expertise in data science and programming. Whether you're looking to refine your technical skills or navigate the job market, I'm here to provide personalized coaching tailored to your goals. Let's connect and chart your path to success in AI!

I have spent nearly a decade working across AI, machine learning, and NLP, spanning academic research, applied ML, and industry. My experience includes publishing at leading AI venues, building AI systems deployed with real-world partners, working on legal AI and long-context reasoning in industry, and earlier experience in data science at the NBA. I have worked across NLP, LLMs, trustworthy AI, explainability, multi-agent systems, and applied machine learning, so I can help you understand not just individual roles, but how different AI career paths actually fit together. I am especially helpful if you are trying to break into AI research, research engineering, ML engineering, applied science, or eventually a PhD. I can help you assess where you currently stand, identify the gaps that actually matter, choose projects that strengthen your profile, position your research and technical experience, prepare for interviews, and build a longer-term strategy instead of blindly collecting courses and certificates. My goal is to help you understand what strong AI candidates look like from the inside and create a realistic path toward becoming one.