Branavan Selvasingham

I build reliable AI systems for the real world.

Currently VP, Head of AI & Product Engineering at Zafin, focused on reliable agent orchestration with human oversight.

Core themes

Agent orchestration

Reliable agent orchestration with human oversight in enterprise workflows.

Robotics

Embodied AI experiments with the SO-101 and real-world control loops.

Simulation

Multi-agent worlds for coordination, escalation, and behavior over time.

Spatial computing

VisionOS and AR experiments around 3D interfaces and interaction.

Selected Projects

A few projects that show the range of work I do across robotics, simulation, spatial computing, and product building.

SO-101 robot arm reaching toward a chess pawn on a chessboard.

SO-101 Robot Experiments

Embodied AI experiments with the SO-101, focused on perception, control loops, and action in the physical world.

See details
Many Lives simulation interface showing a town map and a live conversation panel.

Many Lives

A multi-agent simulation exploring coordination, escalation, and persistent behavior in a shared world.

Built to think through how agents behave over time, not just in isolated turns.

See details
VisionOS interface showing a colorful 3D wave chart floating in front of a lunar landscape.

VisionOS / Shape of μ

Spatial computing and AR experiments using VisionOS, SwiftUI, RealityKit, and 3D interfaces.

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IBM 2022 Outstanding Technical Achievement Award certificate.

IBM Achievement

Built large-scale systems used by millions and received formal technical recognition at IBM.

Includes 2022 Outstanding Technical Achievement Award work.

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Speaking at Microsoft AI Lounge during Money20/20.

Talks

Talks, panels, and appearances on banking, AI, and product engineering.

Includes Microsoft and Money20/20 sessions.

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Nimbus POS retrospective title card above a collage of cafes and product moments.

Nimbus POS

A bootstrapped restaurant point-of-sale platform that reached paying customers, exceeded operating costs, and exited through client/data acquisition.

Built and operated from 2015 to 2018.

See details

Current focus

Right now I'm working on:

  • Trusted agent orchestration and human review loops
  • Reliable AI workflows in production settings
  • Robotics and embodied interaction
  • Simulation and multi-agent systems
  • Spatial interfaces and AR experiments

How I work

A few things that shape the work I like doing:

  • I like working across product, engineering, and applied research instead of treating them as separate lanes.
  • I'm usually drawn to systems problems where trust, reliability, and judgment matter as much as raw capability.
  • I care about making ambitious technical work legible to the people who have to use it, review it, or depend on it.
  • I tend to learn fastest by building, operating, and then tightening something into a version people can actually rely on.
A cosmic visualization of gravity, magnetism, and connected information systems.

Gravity, Magnetism, and Love

On attraction between information systems.

Read essay

More work

Projects by theme

Grouped around the four themes above, plus some earlier work.

Agent orchestration

Zafin

Current work focused on reliable agent orchestration, human review loops, and production AI workflows in enterprise software.

At Zafin, I lead AI and product engineering with an emphasis on turning model capability into systems that can be trusted in enterprise settings.

The work spans workflow design, review and approval loops, operational controls, and the product engineering required to make agentic systems dependable in production.

Podcast with Microsoft's Head of Banking Strategy

A conversation with Tyler Pichach about AI in financial services and enterprise software.

Money 20/20 Presentation (2023)

Presented at Money20/20 on Microsoft’s AI stage, sharing an early roadmap that we later built out and executed.

Earlier orchestration and production AI

IBM production AI and orchestration

Built and shipped production AI systems used by more than 20 million people, including work recognized with IBM’s 2022 Outstanding Technical Achievement Award.

Large-scale AI systems work at IBM that had to perform reliably in production, not just in demos.

The award recognized conversational AI orchestration work that combined model capability with the surrounding system behavior needed for real use.

Obfuscated award certificate (PDF)

Auditable Network of Containers

Published IP on transactions between non-trusting parties using auditable networks.

Robotics

SO-101 Robot (LeRobot)

Robotics experiments with the SO-101, including first movement tests and video.

Vision-Based Robot Arm Motion

Built vision-based motion control experiments for robot arms.

Linear motion with vision detection

Organic motion enhancement with dynamic target location

Organic motion with multiple targets

Robotic Conference and Vision

Built a system that combined robotic vision and conferencing for remote interaction experiments.

Smart Locker

Designed and built a smart locker system for secure storage experiments.

High-level System Layout

Demo: Remote transferability of ownership

Demo: Full functioning system

Simulation

Many Lives

Simulation and agent orchestration prototype for coordinating multiple semi-autonomous actors in a shared world.

Many Lives is a simulation and agent orchestration prototype built around a shared world with multiple semi-autonomous actors. The goal is to move beyond single-agent chat interactions and explore how agents persist over time, accumulate context, surface competing pressures, and continue acting inside a living system.

The project focuses on orchestration through attention, escalation, memory, and policy rather than direct turn-by-turn control. It sits at the intersection of simulation design, agent architecture, and human oversight for systems that need to remain legible while multiple threads stay active at once.

Project site

Boston Dynamics Spot Simulation

Built simulation environments for Boston Dynamics Spot experiments.

Spatial computing

Shape of μ (VisionOS)

A VisionOS project exploring 3D graphing and spatial interaction.

Graph visualizer: "Shape of μ"

Earlier work on interactive systems

Dynamic Retail E-Paper Labels

Designed e-paper labels for retail stores with real-time updates.

Demo: Touch-enabled e-paper display retail pricing system

Dual e-paper display

Proximity sensor for on/off functionality

Prototype enclosure

Screen in prototype enclosure

Screen + Prox Sensor in prototype enclosure

Smart Surface Projection

Built a projection system for interactive display experiments.

Product building

Nimbus POS

A bootstrapped SaaS platform for small cafes with inventory, streamlined ordering, loyalty, analytics, and support for Canadian tax rules. It reached paying customers, exceeded operating costs, and exited through client and data acquisition.

A retrospective

Built features across inventory management, low-click ordering, Canadian tax support, loyalty programs, analytics, and hardware integrations like wireless printing.

Bootstrapped to paying customers, reached monthly recurring revenue above operating costs, and exited through data and client acquisition by Nown POS.

Full App Demo - Part 1 of 2

Full App Demo - Part 2 of 2

Wireless Printing Demo

Dashboard Demo

System Setup illustration

Any Device illustration

Video Transcript Analysis

Built a web app (thegreatmind.org) for analyzing video transcripts and extracting useful structure from them.

Demo: Adding a 'great mind'

Demo: Adding a new video artifact for a 'great mind'

Demo: Adding subtitles to a video artifact

Demo: Correcting a subtitle

Education

MBA
Schulich School of Business, York University

Focused on finance and entrepreneurship.

Mech Eng
University of Waterloo

Focused on robotics and aerodynamics. 4th year research on ornithopter / drone.