Nikhil Handigol

Chief AI Officer and Co-founder Forward Networks

Last Reviewed: September 19, 2026

Executive Summary

Nikhil Handigol is one of the four Stanford researchers who founded Forward Networks and, since early 2026, the company’s Chief AI Officer. Forward Networks built what it calls the first network digital twin: a mathematically accurate software model of a production network that can answer, with proof rather than inference, whether the network actually behaves the way its design intends. Handigol’s doctoral work under Nick McKeown sat at the origin of that idea — his dissertation was about reconstructing the full history of a packet in order to debug networks that no single engineer can hold in their head. He now leads Forward AI, the company’s push to let both operators and autonomous agents act on that verified model, on the argument that agentic automation in critical infrastructure is only safe when every recommendation carries its evidence.

Career Highlights

• Co-founded Forward Networks with David Erickson, Brandon Heller and Peyman Kazemian; the company’s customers include Goldman Sachs, PayPal, S&P Global, IBM and Dell.
• Appointed Chief AI Officer, announced in the company’s 29 January 2026 release launching Forward AI, which he leads; general availability was scheduled for April 2026.
• Named co-inventor on eight patents covering network analysis and network monitoring.
• Named to the Silicon Valley Business Journal’s 2025 40 Under 40 list, announced June 2025.
• Received the IIT Madras Young Alumni Achiever Award in 2022.
• Authored the Stanford dissertation “Using Packet Histories to Troubleshoot Networks” (2013); the associated papers appeared at NSDI 2014 and HotSDN 2012, the latter winning Best Student Presentation.
• Co-authored “Reproducible Network Experiments using Container Based Emulation” (CoNEXT 2012), part of the body of work that made container-based network emulation a standard research tool.
• Held an NSF EAGER research grant (2010-11) in collaboration with the University of Washington, University of Wisconsin and Georgia Tech.

Professional Journey

Handigol came to networking research early. He graduated from IIT Madras in 2008 with a B.Tech. in Computer Science and Engineering, having worked there on wireless sensor networks, and spent time on the Data-Oriented Transfer project at Carnegie Mellon before arriving at Stanford.

At Stanford he joined Nick McKeown’s group at the point where software-defined networking was moving from a research proposal to an industry movement, and worked directly on OpenFlow and the Programmable Open Mobile Internet programme. His own contribution was less about control and more about visibility: a run of papers — “Where is the Debugger for my Software-Defined Network?”, “I Know What Your Packet Did Last Hop” — that treated the absence of debugging tools as the real obstacle to trusting a programmable network. He completed his PhD in Computer Science in 2013 with the dissertation “Using Packet Histories to Troubleshoot Networks”.

Forward Networks was founded out of that same Stanford circle, with Handigol joined by David Erickson, Brandon Heller and Peyman Kazemian. The product inverted the usual approach to network management. Rather than monitor a network and infer what is wrong, Forward Enterprise builds a behaviourally accurate model of the production network across multi-vendor hardware and every major cloud, then lets operators query and verify it — establishing not just what the network is doing but what it is capable of doing under any input. Handigol has been central to that digital twin architecture since its inception and is a named co-inventor on eight patents in the area.

The Chief AI Officer appointment, announced on 29 January 2026, formalised the next step. Forward AI extends the digital twin so that IT teams and AI agents can ask questions in natural language, validate outcomes, and safely automate workflows, with each result accompanied by the evidence behind it. The company also exposed the layer through the Model Context Protocol so third-party developers can build agents against it. Handigol’s framing of the work is characteristically about trust rather than capability: the platform’s value, he argues, is that it lets organisations “reason transparently about outcomes, and preserve the safeguards required to operate critical infrastructure.” He sits in Forward’s executive management; the board seats among the founders are held by Erickson and Heller.

Education

Stanford University

Ph.D., Computer Science, 2013

Indian Institute of Technology Madras

B.Tech., Computer Science and Engineering, 2008