Speaker media kit
Technology topics, bios, photos and a one-page summary, ready to copy into your program, website or announcement.
Need a higher-resolution original or a different crop? Send a request through the form below.
Imran Hashmi leads IBM’s DevOps, Engineering Lifecycle Management (ELM) and high-performance computing (HPC) portfolio across the Americas. With more than 25 years in enterprise software, he speaks about how AI, automation and modern engineering practices help organizations build, deliver and scale software and compute with confidence.
Imran Hashmi is a technology leader at IBM, responsible for the DevOps, Engineering Lifecycle Management (ELM) and HPC portfolio across the Americas, with more than 25 years of experience in enterprise software. He speaks to executives and engineering leaders about how AI, automation and high-performance computing translate into practical results: faster and safer software delivery, traceable engineering work and efficient use of compute. Imran has presented at IBM conferences including Think, TechXchange and InterConnect, and at industry events such as FOST and apidays. His sessions are clear, example-driven and focused on decisions technology teams can act on. He is based in Toronto, Canada. Opinions are his own.
Imran Hashmi leads IBM’s DevOps, Engineering Lifecycle Management (ELM) and high-performance computing portfolio across the Americas, spanning the United States, Canada and Latin America, as part of IBM Automation Software.
With more than 25 years in enterprise software, including roles at IBM, Oracle and Alachisoft, he has worked at the intersection of software engineering, automation and infrastructure, helping organizations modernize how they plan, build, test, deliver and operate software.
Today his conversations center on AI-assisted software delivery, database DevOps, governed automation, engineering traceability, and workload orchestration for AI, HPC and emerging quantum computing.
Imran has presented at IBM conferences such as Think, TechXchange and InterConnect, and at industry events including FOST and apidays. He has completed executive education at Harvard Business School and Boston University’s Questrom School of Business, and is based in Toronto, Ontario, Canada. Outside work he is a Canadian Blood Services donor and supports the South Asia Earthquake Team.
Enterprises have invested in Git, CI/CD, cloud, security and observability, yet database changes often sit outside that governed process. How bringing database delivery into the same automated, auditable model improves speed, compliance and resilience as AI-generated changes grow.
AI can write code faster, but engineering bottlenecks are shifting toward design and decision-making. A look at fragmented engineering context and what organizations need to scale AI across the whole delivery lifecycle.
As quantum computing joins AI and HPC in the enterprise stack, the challenge becomes scheduling and scaling work across very different resources. How workload orchestration with IBM Spectrum LSF creates one foundation for classical, AI and emerging quantum workloads.
Credentials, API keys and certificates are often scattered across clouds, applications and servers. How centralized secrets management and audit trails strengthen security and compliance without slowing deployments, using the IBM DevOps Deploy and HashiCorp Vault integration as an example.
Tell me about your event and I will reply as soon as I can.
