abormand@elevano.com
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Episodes: 690
Frequency: Multiple_weekly
Rating: 5.0/5.0
Estimated listeners: 1k-10k
Gender skew: Male
Location: USA
Instagram: 133 followers
abormand@elevano.com
For verified host and producer emails, sign up to view.
Amir Bormand - Speaks with guests on how technology companies are built and led, focusing on decisions around product, engineering, AI, data, teams, hiring, and growth.
Amir - Appears as the person interviewing the guest in Episode 1 (The Tech Trek).
Shimon Ben-David - Scaling Enterprise AI From Proof Of Concept To Production, Infrastructure, Security, Data Movement, Latency, Adoption, And AI Maturity
Goncalo Silva - Ai-assisted Software Engineering, Engineering Autonomy, Technical Judgment, Product Delivery, Project Planning, And Engineering Hiring
Robert Stewart - Ai-assisted Engineering In Healthcare, Actuarial Subject-matter Expertise, Value-based Care, Regulated Environments, Technical Hiring, And Human Review Of Ai-generated Code
How Do You Hire Engineers When AI Writes the Code?
August 04, 2026
AI is changing more than how engineers write code. It is changing what leaders hire for, how candidates are assessed, and which engineering skills may matter most.Raymond Wang, CTO and cofounder at Ease Health, joins Amir to discuss how an engineering team using agentic coding tools thinks about hiring, productivity, code review, token costs, and the future of software engineering.Raymond argues that syntax knowledge and familiarity with a specific language matter less than they once did. His...
AI Data Centers Are Outgrowing the Power Grid
July 30, 2026
AI infrastructure is expanding faster than the power systems required to support it. A data center can be built in two to three years, while a new power plant or transmission line may take seven to nine years. That gap puts utilities at the center of the next phase of AI growth.Vik Chaudhry, cofounder and CTO of Buzz Solutions, explains how utilities are using visual AI, computer vision, drones, and infrastructure data to find defects, prioritize maintenance, prevent outages, and reduce wildf...
How Coding Agents Are Changing Machine Learning Engineering
July 28, 2026
Machine learning teams are moving faster, but the hard part has not disappeared. The work is shifting from writing and debugging every line of code toward defining the right problem, setting requirements, reviewing outputs, and deciding what belongs in a durable platform.Niels Bantilan, Chief Machine Learning Engineer at Union AI, explains how machine learning work has changed, why coding agents are accelerating prototyping, and what engineers must consider when building infrastructure that s...
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