PMI Silicon Valley: How TPMs Drive Complex Cross-Functional Programs

I'll be joining PMI Silicon Valley on November 25 to talk about leading without authority and how TPMs drive complex cross-functional programs.

WeAreDevelopers World Congress 2026: Why Infrastructure Forecasting Fails

I'll be speaking at WeAreDevelopers World Congress North America on September 24 about why infrastructure forecasting fails and how to build a self-serve forecasting platform.

In PM World Journal: When AI Handles the Work

PM World Journal published my advisory article on what stays valuable in program management once AI makes coordination cheap – Vol. XV, Issue IX, September 2026.

ICAIRA 2026, Istanbul: Autonomous Program Repair with Feedback-Driven Test Synthesis

I presented a solo-authored paper on autonomous program repair at ICAIRA 2026 in Istanbul, Turkiye, 2-4 September 2026.

CloudX 2026: How Do You Forecast Hardware at Billion-User Scale?

I spoke on the CloudX Main Stage in Santa Clara on 1 September, co-located with API World and AI TechWorld, on why infrastructure forecasting fails at scale and the playbook that replaces guesswork with business intent.

Industry Advisor and Judge at Cornell Tech Product Studio

I'm serving as an industry advisor to a Cornell Tech Product Studio team this year, and as a judge in the CRITS review sessions.

Mentor and Judge at IEEE SmartAIthon 2026

I served IEEE SmartAIthon 2026 twice over: first as a mentor to the participating teams in August, then as a judge in the final evaluation round.

CSCE 2026: A Two-Track Framework for Cutting Time-to-Mitigate

My solo-authored Springer paper at CSCE 2026 in Las Vegas proposes a two-track chaos and mitigation engineering framework for reducing time-to-mitigate in large-scale distributed systems.

Volunteering with PMI: M.O.R.E. In Action

I was selected as a PMI volunteer for M.O.R.E. In Action, PMI's programme on mindset, outlook, resilience and engagement.

AI Won't Replace TPMs, But It Will Redefine the Role

I joined Leena Agarwal on the Agentic AI Execution podcast to talk about what AI actually changes about the technical program management role.

On Dataconomy: What Happens Between Product Growth and a Server Purchase

Dataconomy published my walkthrough of how a single demand signal travels from a product decision to a hardware purchase order.

On COO Insider: When to Halt Work During an Operations Incident

COO Insider published my take on how operations leaders should decide when to stop work during an incident, and when stopping costs more than continuing.

Highlights

Elevated to IEEE Senior Member

I was elevated to IEEE Senior Member in April 2026, a grade held by a small share of the institute's membership.

Highlights

Three IEEE Papers at ICCPCT 2026

Three of my papers were accepted and presented at the 9th IEEE ICCPCT, 6-7 August 2026, covering agent memory architectures, observability for agentic AI, and coordination cost in multi-agent systems.

Highlights

Joining the DevNetwork Advisory Board

Selected to DevNetwork's 2026 AI/ML Advisory Board, helping shape content across its global developer and AI conferences.

Highlights

On Tech Magazine: Making Technical Debt Compete for the Roadmap

My take in Tech Magazine's expert roundup on balancing technical debt against new features.

Highlights

The AI-Era PM: Becoming a Strategic Technology Leader

I spoke at a PMI San Francisco Bay Area session on how PMs can move beyond execution to become strategic technology leaders in the AI era.

Highlights

Notes From Chairing a Session at CSCE 2026

A morning of AI research, from rocket design to AI governance, and what stood out from the chair's seat.

Highlights

On CTO Sync: Winning Support to Pay Down Technical Debt

CTO Sync featured my approach to winning stakeholder support for technical debt paydown: weighing blast radius, exposing consequences to leadership, and reserving a fixed slice of every cycle for paydown.

TPM Knowledge

The TPM Operating System Behind Large-Scale Program Execution

How a technical program manager actually runs a large program, from the first funding conversation to the hundredth status update.

Highlights

On Mashable: Building AI Infrastructure at Billion-User Scale

Mashable profiled my work leading AI infrastructure at billion-user scale: lifting model deployment success from 60% to 99%, cutting scale-up time from three days to two hours, and a GPU efficiency redesign worth an estimated $20M in savings.

Highlights

Kong API + AI Summit 2026: Operational Lessons from Running Large-Scale AI Inference

Invited speaker at the Kong API + AI Summit 2026 in Los Angeles (Sep 30 – Oct 1). A practitioner session on the operational realities of running large-scale AI inference: deployment coordination, GPU and infrastructure constraints, performance tuning, and reliability under rapid model iteration.

TPM Knowledge

Leading Without Authority: The Operating System of a Technical Program Manager

Every technical program manager eventually runs into the same uncomfortable fact: you are accountable for outcomes you cannot command. The engineers do not report to you. The architects do not need your sign-off. The executive who set the deadline will not write a line of the code that meets

Highlights

AI Infra Summit 2026: What It Takes to Run AI Infrastructure at Billion-User Scale

Upcoming: I'm speaking at AI Infra Summit 2026 (Santa Clara, Sept 15-17) on what it takes to run AI infrastructure at billion-user scale.