Ashish Vaidya-Principal Engineer @ Amazon

How did Ashish go from not knowing how to operate a computer to leading a 200 person team as Principal Engineer at Amazon? In this episode, Ashish breaks down what it takes to build customer-driven technology, lead large engineering teams, reduce product defects through better data systems, and apply AI in ways that create real enterprise value. In this episode, we cover: 1 Why the end user must be a guiding force in programming, and why decision-making, alignment, and clarity are critical parts of being an effective engineer. 2) How Ashish developed a system to track the full customer journey within Alexa Entertainment, helping eliminate 50% of product defects. 3) What data engineers and product teams should look for in the customer journey, and how to extract the right story from data to improve products. 4) How Ashish identified latency issues within Alexa, understood their impact on customer retention, and helped course-correct the product experience. 5) One of Ashish’s flagship patent inventions around controlling how much information a language model receives at each step — a method designed to reduce hallucinations, improve accuracy, and create more reliable outputs in technical and business contexts. 6) How Ashish leads a 200-person team with a unified vision, strong alignment, and clear execution standards. 7) Ashish’s perspective on how agentic AI should be leveraged to maximize enterprise value, including how leaders should identify execution boundaries and apply AI in the areas where it can create the greatest impact. #Amazon #PrincipalEngineer #AI #AgenticAI #Alexa #EngineeringLeadership #ProductStrategy #CustomerExperience #DataDrivenDecisionMaking #EnterpriseAI #TechnologyLeadership #Podcast