{"person":{"name":"Jeff McGillis Heiden","title":"Systems Architect, AI/ML Engineer & Published Independent Researcher","location":"Lima, Peru","timezone":"GMT-5","available":true,"languages":["English (fluent)","Swedish (native)","Spanish (B2)"],"contact":{"email":"jeff@heiden.cloud","linkedin":"https://linkedin.com/in/jeffmcgillisheiden","github":"https://github.com/JeffSwe","website":"https://heiden.cloud"},"skills":["Multi-trit LLM quantization (theory + empirical, custom Triton kernels)","LoRA/QLoRA fine-tuning, EXL3/GGUF quantization","Edge and local-first AI infrastructure","Rust systems programming (UniFFI, sqlx, cross-compilation)","Multi-agent orchestration (DyTopo, agentic scaffold design)","Offline-first architecture, on-device LLM deployment","React/Next.js, SwiftUI, Jetpack Compose, Flutter","Post-quantum cryptography (ML-KEM-768, ML-DSA-65)","Docker, CI/CD, PostgreSQL, SQLite, Neo4j"]},"cvs":{"ai_ml_systems":{"pdf":"https://heiden.cloud/cv/cv_ai_ml_systems.pdf","md":"https://heiden.cloud/cv/cv_ai_ml_systems.md"},"systems_architect":{"pdf":"https://heiden.cloud/cv/cv_systems_architect.pdf","md":"https://heiden.cloud/cv/cv_systems_architect.md"},"technical_pm":{"pdf":"https://heiden.cloud/cv/cv_technical_pm.pdf","md":"https://heiden.cloud/cv/cv_technical_pm.md"}},"research":[{"title":"Toward Multi-Trit Quantization for Large Language Models","subtitle":"Theoretical Framework for Balanced N-Trit Weights, Trit-Plane Generalization, and Mixed-Layer Precision","status":"published","doi":"https://doi.org/10.5281/zenodo.19880386","date":"2026-04-28"},{"title":"Practical Multi-Trit Quantization for Large Language Models","subtitle":"Full-Text-Path Trit5 Implementation and WikiText-2 Proof of Concept on Qwen3.5","status":"published","doi":"https://doi.org/10.5281/zenodo.20251833","github":"https://github.com/JeffSwe/practical-multi-trit-quantization","license":"Apache-2.0","date":"2026-05-16"},{"title":"Mixed-Layer Trit-Depth Allocation","subtitle":"Heterogeneous radix-depth assignment and non-uniform tritN quantizer design","status":"in-progress","progress":5},{"title":"Trit-Native Architecture Research","subtitle":"Transformers designed around multi-trit representational assumptions","status":"planned"}],"projects":[{"id":10,"title":"On-Device AI Education Platform","short_summary":"An offline-first, K-12 educational platform that harnesses behavioral gamification and on-device AI to drive academic mastery.","long_summary":"Heiden Quest is a radical K-12 educational platform that leverages the psychological \"dopamine-driven game design\" of mobile gaming—such as variable reinforcement, digital pet evolution, and loss aversion—for positive educational outcomes. Built entirely on a 100% offline-first Rust architecture with local SQLite state, it deploys quantized on-device GenAI models to provide hyper-personalized, 1-on-1 tutoring, eliminating cloud dependencies to democratize learning globally.","tags":["Rust","AI","Education","Offline-First","Mobile","On-Device LLM"],"url":"https://edu.heiden.cloud","image":"https://edu.heiden.cloud/favicon.png","creation_date":"2026-02-01T00:00:00.000Z","date_updated":"2026-03-07T00:00:00.000Z","logs_url":"#","status":"development"},{"id":9,"title":"Ugdrasil:ᚢᚷᛞᚱᚨᛋᛁᛚ","short_summary":"An infrastructure-agnostic, multi-agent reasoning orchestrator that couples cloud intelligence with secure, offline-capable local execution.","long_summary":"Ugdrasil is a native Rust-based spatial cognition exoskeleton designed for unconstrained AI research and autonomous execution. It introduces DyTopo v2, a dynamic topological routing engine that pairs mathematically persistent, hardware-optimized distributed reasoning with a high-fidelity cinematic frontend. By utilizing conflict-free replicated data types (CRDTs), temporal forking, and strict WASM-sandboxed constitutional boundaries, Ugdrasil circumvents standard LLM context and behavior limits.","tags":["AI Orchestration","Spatial Computing","DAG","Autonomous Agents","Cybersecurity"],"url":"https://ugdrasil.heiden.cloud","image":"https://ugdrasil.heiden.cloud/Hero_snippet.webp","creation_date":"2026-01-01T00:00:00.000Z","date_updated":"2026-03-08T00:00:00.000Z","logs_url":"#","status":"development"},{"id":8,"title":"Project Aion (Universal TTRPG)","short_summary":"Rust-native, multimodal AI RPG platform with conscious NPCs and living world simulation.","long_summary":"The world's most sophisticated RPG platform built on a high-performance Rust kernel. Orchestrates local multimodal AI and Bevy ECS for deterministic simulation. Features 'Digital Soul' NPCs with genuine character arcs and a living world ecosystem tracked by the Akashic Chronicle.","tags":["Rust","Bevy","AI","Multimodal LLM","Audio AI","TTRPG","Simulation"],"url":"#","image":"/placeholder.svg?height=400&width=600","creation_date":"2026-02-15T00:00:00.000Z","date_updated":"2026-03-10T00:00:00.000Z","logs_url":"#","status":"development"},{"id":7,"title":"ALS-ALM Platform","short_summary":"Fully self-hosted, offline-first, AI-native ALM/PLM operating system.","long_summary":"A revolutionary 'Layer 0' platform ensuring complete data sovereignty. Unifies product discovery, project management, version control, and business operations into a single coherent data model. Features local-first architecture, encrypted P2P sync, and AI agents as first-class team members.","tags":["Rust","AI","ALM/PLM","Offline-First","Local-First","Cryptography"],"url":"#","image":"/placeholder.svg?height=400&width=600","creation_date":"2025-01-01T00:00:00.000Z","date_updated":"2026-03-09T00:00:00.000Z","logs_url":"#","status":"development"},{"id":11,"title":"AI Audiobook Generator","short_summary":"Automated, high-fidelity audiobook generation pipeline using advanced TTS models.","long_summary":"A specialized pipeline designed to ingest text and output fully narrated, multivoice audiobooks. Leverages the latest in text-to-speech technology with custom fine-tuning to handle phonetic pacing and natural cadence.","tags":["AI Tools","TTS","Audio Generation","Automation"],"url":"#","image":"/placeholder.svg?height=400&width=600","creation_date":"2026-02-01T00:00:00.000Z","date_updated":"2026-03-06T00:00:00.000Z","logs_url":"#","status":"development"},{"id":2,"title":"Industripoolen.se","short_summary":"Industrial hiring platform with ERPNext integration and comprehensive workflow automation.","long_summary":"Led end-to-end development of a web-based industrial hiring platform. Managed all technical and strategic execution, developed enterprise features including messaging, scheduling, and payroll integration using Bubble, ERPNext, and Manatal. Delivered a fully operational product in under 7 months.\n\nCEO reference available on request","tags":["ERPNext","Bubble","Manatal","Workflow Automation","Enterprise"],"url":"https://industripoolen.se","image":"/industripoolen-hero.webp","creation_date":"2024-07-01T00:00:00.000Z","date_updated":"2024-12-02T00:00:00.000Z","logs_url":"https://github.com/JeffSwe/","status":"completed"},{"id":1,"title":"Fami.Central","short_summary":"Multilingual AI-powered family app with secure MVVM architecture and end-to-end encryption.","long_summary":"A comprehensive family application built from scratch in 5 months. Features include multilingual support, AI integration, secure end-to-end encryption, MVVM architecture with modular ViewModels, and dependency injection. Successfully migrated from Xamarin to Flutter and React for better scalability.","tags":["Flutter","AI","MVVM","Encryption","Multilingual","React"],"url":"#","image":"/placeholder.svg?height=400&width=600","creation_date":"2022-08-01T00:00:00.000Z","date_updated":"2023-12-01T00:00:00.000Z","logs_url":"https://github.com/JeffSwe/","status":"completed"},{"id":5,"title":"VR Sensor Glove","short_summary":"Sensor-enabled VR glove prototype for real-time motion tracking in VR applications.","long_summary":"Built a functional prototype VR glove with integrated sensors for real-time hand and finger motion tracking. The system provides precise input for VR applications, enabling natural hand interactions in virtual environments.","tags":["VR","Sensors","Motion Tracking","Hardware Prototyping","IoT"],"url":"https://github.com/JeffSwe/","image":"/placeholder.svg?height=400&width=600","creation_date":"2021-01-01T00:00:00.000Z","date_updated":"2021-12-01T00:00:00.000Z","logs_url":"https://github.com/JeffSwe/","status":"completed"},{"id":4,"title":"PEEK 3D Printer Modification","short_summary":"3D printer modified for high-performance PEEK filament printing for industrial prototypes.","long_summary":"Modified a standard 3D printer to handle PEEK (Polyetheretherketone) filament, enabling printing of industrial-grade prototypes with superior mechanical and thermal properties. This project involved hardware modifications, temperature control systems, and specialized extruder design.","tags":["3D Printing","PEEK","Hardware Modification","Industrial Prototyping"],"url":"https://github.com/JeffSwe/","image":"/placeholder.svg?height=400&width=600","creation_date":"2020-01-01T00:00:00.000Z","date_updated":"2022-12-01T00:00:00.000Z","logs_url":"https://github.com/JeffSwe/","status":"completed"},{"id":3,"title":"Graphing Calculator","short_summary":"TI-84-like calculator with custom GUI, ahead of its time with touchscreen vision.","long_summary":"Designed and developed a fully functional TI-84-like calculator with custom GUI and math algorithms as a high school project in 2007. Originally envisioned expansion into a smartphone-style graphing calculator with touchscreen, custom PCB, and open development capabilities using C, C++, C#, and assembler - over a decade ahead of mainstream adoption.","tags":["C#","Windows Desktop","GUI","Mathematics","Hardware Design"],"url":"https://github.com/JeffSwe/","image":"/graph-calc.webp","creation_date":"2007-01-01T00:00:00.000Z","date_updated":"2007-01-01T00:00:00.000Z","logs_url":"https://github.com/JeffSwe/","status":"completed"}],"experience":[{"title":"Independent Researcher — Multi-Trit LLM Quantization","period":"April 2026 – Present","description":"Published two DOI-registered papers on Zenodo establishing a new research program for LLM quantization based on balanced base-3 weight representations. Implemented a full-text-path blanket Trit5 quantizer with custom Triton kernels; T5 consistently outperformed blanket Q8 on perplexity across Qwen3.5 0.8B/2B/4B. Full reproducibility artifact package released under Apache 2.0."},{"title":"PM / PO / Technical Lead","company":"Industripoolen.se","period":"July 2024 – March 2025","description":"Sole architect of a full-scale industrial hiring platform. Selected tech stack (Bubble.io, Manatal ATS, NextERP), designed architecture from Figma wireframes through production. Implemented search algorithms, scheduling engines, four-tier RBAC, ERP integration."},{"title":"Chief Architect & Founder","company":"Fami.Central","period":"Aug 2022 – 2023","description":"Multilingual AI-powered family application. AES-256 device-only encryption, deterministic recovery phrase system, real-time key-change notifications."}]}