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Founder & Engineer

Yakoob Ahmad KOOB

Forward Deployed Engineer · AI Architect · San Clemente, CA

I help enterprises deploy autonomous agent systems that scale to millions of users while maintaining operational discipline.

Yakoob Ahmad

01 — Recursive Self-Improving AI

Axon The OS for AI agents running a company

One idea at the center: an AI that gets better at the work every time it does the work. Agents do not consult Axon, they live in it. Every run boots from shared state, acts through the tool layer, and writes back what it learned.

Size shows how central something is, color shows its group. Hover or tap a word for what it means. The map shows where the loop is pointed; not everything on it is live yet.

  1. 01 — Direction

    Goals & Charters

    Two kinds of work. A goal is bounded: an approved plan, a budget of rounds, a pull request at the end. A charter never finishes: it observes, raises issues with evidence, and opens goals toward an outcome. Whether the outcome moved is the signal the loop learns from.

  2. 02 — Dark factory

    Software Factory

    Goals go in, reviewed pull requests come out. One loop plans, codes, reviews, and tests, then writes down what it learned so the next goal starts smarter. People approve plans and merges. The system does the rounds in between.

  3. 03 — Operations

    Automation

    The loop that builds software also deploys it, runs the tests, watches the jobs and the data, and checks the security posture. Drift becomes an issue with evidence, then a goal, instead of a page to a person in the middle of the night.

  4. 04 — Product

    Custom Apps

    Purpose-built apps for each team, on the same data. A new app is a goal for the factory, not a project, and every app gets better as the data and the models underneath it do.

  5. 05 — Data

    Self-Organizing Data Warehouse

    Systems of record are mirrored into one warehouse that agents enrich, classify, and keep coherent. Where real data has to stay put, agents build and test on a synthetic twin: the same tables, fields, and quirks, none of the real records.

  6. 06 — Economics

    Cost you can read

    Every action is a model call with a token count and a price, recorded against the goal, charter, or feature that asked for it. Cost reads action by action, so it is a result the loop improves, and a runaway loop is stopped in minutes instead of found on the bill.

Memory · Continuity Decisions, blockers, milestones, and zero-context handoffs. The next session starts from run state, not a transcript.

Policy · Librarian Identity, playbooks, and skills have one writer. Agents propose; trusted roles promote.

Syscall · Tool Shed The only path agents take to act. Identity, ACL, per-call audit, secret redaction.

Eight planes, one monolith. Agents boot from it, act through it, and can be audited from it. Every run leaves verified evidence behind, and that evidence is what the next run learns from. Control tower is how you see it and decide.

02 — Intellectual Property

Patent-pending live entertainment engine

U.S. Patent Publication US 2025/0252633 A1

Application No. 19/044,605 · Filed 2024

Invented a real-time generative statistical and machine learning pipeline that translates multi-modal live audio signals into synchronized, immersive storytelling visual elements.

Read the publication

03 — Experience

Twenty years of production systems

Telecom, fintech, entertainment, and AI/ML. The through-line is operational discipline at scale.

Smarsh

Sr. Principal AI Architect

Portland (Remote)

Go, HTMX, Rust (desktop), Shell, Postgres, pgvector, Docker, vLLM, haproxy, nginx

  • Stood up SmartAI - the OS company agents live in. Shared memory, versioned playbook, gated tools, named goals. One Go binary. Dark factory runs the work.
  • Control Tower is the god's-eye view: live runtime visibility for high-level decisions.
  • Turned Snowflake into a live warehouse Goal: scheduled ingest into PostgreSQL, delta updates, intelligent content merge — not a one-off dump.
  • Post-trained smaller self-hosted LLMs with human-in-the-middle RL feedback; so they become experts at the organization's domain work. Eat the token cost once and own the models.
  • Added intelligent routing so requests hit the right model based on what the user actually needs.
  • Used customer data signals coming through the system to surface churn risk earlier.
  • Custom-built a graph of the team brain with a realtime heat map that holds millions of nodes without falling over.
  • Stacked it on Postgres + pgvector for retrieval, with Go services and an HTMX UI. Rust for the desktop client.

Key achievement. SmartAI. One Go binary. Agents live in it. Dark factory runs the Goals. Control tower is the god's-eye. Smaller self-hosted models get better at the company's work because humans sit in the loop. First use case: spot at-risk accounts to protect margin and cut churn. Dark factory is how the next use case ships without standing up a new system.

Compeller.ai

Forward Deployed Engineer & Technical Founder

Orange County, CA · Dec 2024 – Present

Java/Groovy, Rust (egui, OpenGL/Metal), Go, Python, CUDA, JavaScript, Shell, HTMX, MariaDB/MySQL, Postgres, pgvector, Redis, Akka/STOMP/WebSockets, GStreamer, FFmpeg, NDI, ComfyUI, vLLM, llama.cpp, ONNX, OSC, DMX/Art-Net, Hue, WLED, Docker, nginx, HAProxy, Tomcat

  • Designed and shipped REACT, a patent-pending real-time audio-driven visual system for DJs, venues, and festivals.
  • Built the core product stack in Java/Groovy with supporting services in Rust, Go, and Python.
  • Stood up the internal AI ops layer — shared knowledge base, orchestrators, and specialized sub-agents so the team can actually run on it.
  • Post-trained local LLMs so token spend is one-time, then routed requests to the right model based on the job.
  • Used Postgres/pgvector + customer signals to improve support and cut churn risk.
  • Open-sourced REACT (Apache-2.0) and the Rust libraries built for it: Pro DJ Link, Ableton Link tempo, and OLA/DMX. github.com/Compellerai
  • I run the full loop myself: product, infra, deployment, and revenue.

Key achievement. Founded Compeller. Built REACT (patent pending) — real-time audio-to-visuals for live entertainment. Built the company end to end: SaaS video pipeline and REACT desktop. The internal AI ops layer later evolved into the agentic operating system.

Toll Free Forwarding

Software Engineer / R&D

Los Angeles, CA · Nov 2009 – Dec 2024

  • Developed a highly concurrent application using the Akka framework and a Finite State Machine DSL, scaling system capacity to manage thousands of simultaneous inbound/outbound phone calls and messages.
  • Implemented a high-performance Netty pipeline to interface directly with telecommunications hardware, converting raw hardware events into domain-specific messages for a Java-based Akka Actor System.
  • Designed and implemented an SMS / MMS Gateway supporting multiple carrier protocols, facilitating rapid integration with new telecom providers and isolating core systems from upstream changes.
  • Led the migration of a massive Java/Spring/Hibernate CRM application to Groovy and Grails, drastically reducing technical debt and exponentially increasing feature delivery speed.
  • Designed a real-time Risk and Fraud management engine integrated into the account lifecycle, significantly reducing fraud exposure and protecting company margins.
  • Served as Technical Liaison and Scrum Master, decomposing complex product epics into balanced Agile sprints to optimize stakeholder priorities.

Key achievement. Built Call Control for the largest reaching PSTN on the planet — a system that actually decides how calls move, route, and stay up at scale.

The Walt Disney Company

ColdFusion Consultant

Burbank, CA · Jul 2007 – Nov 2009

  • Architected and developed mission-critical features for VISION (Video Image and Sound Inventory Online), customizing asset management workflows specifically for the Home Entertainment division.
  • Provisioned and managed development and staging environments utilizing Microsoft Hyper-V, empowering engineering teams to quickly clone, test, and safely deploy code updates.

Key achievement. Owned mission-critical pieces of VISION for Home Entertainment — customized asset management so the division could actually move titles through inventory without the system getting in the way.

BVIG Financial

Director of Information Technology

Houston, TX · May 2003 – Apr 2007

  • Created a highly concurrent ColdFusion and MS-SQL engine to process thousands of simultaneous national ATM check-cashing transactions across H&R Block and Jackson Hewitt locations.
  • Built a real-time cash management and transaction monitoring dashboard to forecast penetration, audit incoming vendor data, and dispatch armored carriers dynamically.
  • Engineered a visual query-building wizard for complex reporting, a localized site ticket tracker, and a secured Tax Office administrative portal.

Key achievement. Built the engine that moved $500M in national ATM check-cashing transactions during peak season (3 months every year) for H&R Block, Jackson Hewitt, and independent tax offices.

04 — Compeller

REACT is free for musicians

I love music. This is my gift. A kid with a laptop should have the same visual firepower as a headliner. Download REACT. No VJ, no cue stack, no timeline — sound becomes the show.

Founded Compeller. Built the SaaS video pipeline and the REACT desktop end to end. Pipeline: audio upload → analysis → scene planning → image gen → VLM → user storyboard review → video gen → final composite. Inference runs as a job system with GPU/endpoint allocation, retries, and multi-server-safe state.

Patent-pending harmonic resonator engine — real-time audio to visuals and lighting, from a laptop to a festival stage.

05 — Open Source

The source is open

REACT is open source. So are the Rust libraries it took to make it work on a real stage: Pro DJ Link, Ableton Link tempo, DMX through OLA. Use them, fork them, send a pull request.

06 — Music

KOOB

Orange County. Dance, EDM, Techno. The engine exists because the music does.

Tracks like “Rise Above” and “Limitless” are the same philosophy as Compeller — break the boundary between technology and art, then give the result away to the people who will use it on a stage.

Listen on SoundCloud

07 — Skills

What I actually run

Paradigms
Agentic Engineering, AI Automation, LLM Orchestration, Agent Harness (Claude Code, Codex, Copilot, open-source LLMs), Distributed Systems, System Architecture, Design Patterns
Languages
Go, Java, Rust, Python, JavaScript, TypeScript, Groovy, ColdFusion, SQL, Bash
Distributed & messaging
GoAkt, Akka, Redis, JMS, ActiveMQ, STOMP, MQTT, Netty
Cloud & DevOps
AWS (Elastic Beanstalk, RDS), Blue/Green deployments, Proxmox, Microsoft Hyper-V, Git, CI/CD. Built my own infra — GPU boxes, local models, storage, networking, deploy path. Actual multi-node hardware running inference, agents, and product workloads.
Databases
Postgres, MySQL, MariaDB, Oracle, Microsoft SQL

08 — Connect

Say hello

koob@compeller.ai · San Clemente, CA