Principal Systems Architect & Technical Founder · Production Applications · Distributed Systems · Heavy-Context AI
Systems. Intelligence. Product. Business.
Building and deploying across distributed systems, AI infrastructure, compilers and runtimes, concurrency, low-latency software, agentic systems, and production engineering.
AI-accelerated execution. Human-directed judgment.
A cross-disciplinary founder, principal consultant, and systems engineer operating at the intersection of systems engineering, AI, product, and business.
Strong in unfamiliar systems: tracing execution behavior to the actual failure mode, identifying the architectural invariant, directing heavy-context AI orchestration and automation, validating edge cases, and shipping the smallest durable correction with deterministic regression coverage.
AI functions as part of the engineering system — accelerating research, codebase exploration, implementation, testing, orchestration, and deployment while keeping architecture, tradeoffs, review interpretation, and final decisions human-directed.
The commercial foundation spans technology, computer retail, fashion, e-commerce, websites, media, marketing, branding, sales, and digital products. Engineering is approached from an operator's perspective: software as infrastructure for building, operating, automating, and scaling real businesses.
Industry is not the constraint. The same systems and AI capabilities apply across technology, financial services and banking, healthcare, real estate, retail, commerce, media, and other complex operating environments.
Prior to focusing full-time on software and systems architecture, founded and operated physical computer retail and component-level hardware diagnostics laboratories across 3 locations in Sweden — with complete fluency in multi-layer motherboard schematics and OpenBoardView CAD, voltage rails and power-line sequencing (VIN/VOUT/EN/PGOOD, VCORE, switching MOSFETs, clock crystals, I²C/SPI/UART buses). Deep hands-on mastery in repairing high-performance graphics cards with burned-out components—including NVIDIA GeForce RTX series (RTX 3080/3090/4090)—diagnosing dead 12V rail shorts, thermal-imaging voltage injection, desoldering and replacing blown DrMOS power delivery stages and MOSFETs without delaminating multi-layer PCBs, trinocular stereomicroscope SMD, BGA & GDDR VRAM rework, hardware EEPROM/SPI BIOS & JTAG programming, forensic NAND/platter data recovery, custom liquid-cooled multi-GPU workstation builds, and founding a micro-soldering academy for repair shop technicians.
NVIDIA GEFORCE RTX REPAIR DRMOS & VRM REPAIR MOTHERBOARD SCHEMATICS VOLTAGES & POWER LINES SMD · BGA · VRAM REWORK EEPROM · SPI · JTAG FORENSIC DATA RECOVERY CUSTOM RIGS
Distributed systems, backend architecture, concurrency, memory ownership, low-latency runtimes, and production debugging.
Distributed systems, backend architecture, concurrency, memory ownership, low-latency runtimes, compiler/runtime behavior, performance, reliability, and production debugging.
DISTRIBUTED SYSTEMS RUNTIMES COMPILERS CONCURRENCY PERFORMANCE
Native iOS/Android, React Native, Flutter, and sub-100ms resilient Next.js/React web platforms.
Native iOS (Swift), Android (Kotlin), cross-platform React Native and Flutter mobile applications, and high-performance, resilient Next.js/React web platforms. Built for fluid gesture fidelity, offline-first reliability, sub-100ms response, and conversion-optimized commercial execution across banking, healthcare, retail, real estate, and B2B SaaS.
MOBILE APPS (iOS/ANDROID) REACT NATIVE FLUTTER NEXT.JS WEB PLATFORMS CROSS-INDUSTRY
Production AI agents, tool-using workflows, orchestration, MCP integrations, and human-directed automation.
Production AI agents, tool-using workflows, orchestration, MCP integrations, model/API integration, human-directed execution, evaluation, retrieval, and automation.
AGENTS MCP ORCHESTRATION AUTOMATION TOOL USE
Autonomous CI pull request invariant gatekeeper, deterministic 12-Shield CWE security airlock, and zero-click blast radius.
Architecture, APIs, SaaS products, internal platforms, deployment, observability, analytics, billing, and operational workflows — including ZeroSlop™ by Ribbsaeter Systems, the sovereign pre-flight pull request invariant airlock featuring a 12-Shield Deterministic CWE Security Engine (CWE-89, CWE-798, CWE-639 IDOR, CWE-78/CWE-94, CWE-502, CWE-918, CWE-426 CI Pwn Requests, CWE-829 AI Slopsquatting, CWE-400, and CVE-2021-42574 Trojan Source / Adversarial Prompt-Injection Immunity), Single In-Place PR Verdict Card, and Zero-Click Cross-Layer Blast Radius directly inside GitHub Actions without external SaaS dashboard bloat (Enterprise Zero-Retention Security Brief →).
- Universal 3-Tier Ecosystem Coverage: Battle-tested across the hardest systems on Earth—Tier 1 hyperscale runtimes & compilers (AWS Firecracker, LLVM, PyTorch, ClickHouse, Apache DataFusion, Tokio, Bun), Tier 2 production cloud platforms & frameworks (Vercel Next.js, Cloudflare Workers, Supabase, web3.py, ArcticDB, Anthropic MCP SDK), and Tier 3 specialized developer toolkits (Meta TorchTune, Ledger Ragger, Coinbase SDK).
- High-Impact for Every Engineering Grade:
- Junior & Mid-Level Engineers: Operates as a senior staff guardian angel—catching contract breaks, hidden regressions, and formatting discrepancies before anyone reviews the pull request, guaranteeing 10/10 green-first confidence on push #1.
- Senior Staff & Tech Leads: Reclaims 60+ hours per sprint by eliminating AI boilerplate review churn and stopping human linter fatigue.
- Enterprise Infrastructure & VPs of Engineering: Mathematically guarantees deterministic invariant integrity, zero unauthorized test deletions, and a 50%–70% reduction in wasted CI runner compute spend.
Autonomous CI Pull Request Invariant Gatekeeper — Live on GitHub Marketplace for the Developer Community
🎁 Two Free Trial Alternatives: 14-Day Free Trial via 1-Click GitHub App (Zero YAML Setup · Org-Wide) · 1-PR Instant Evaluation Try via GitHub Action (Zero Credit Card)
PRODUCT SYSTEMS 12-SHIELD CWE AIRLOCK ZERO-CLICK BLAST RADIUS APIs SAAS CLOUD
Translating technical depth into market defensibility, high-conversion digital assets, and scalable commercial ventures.
| Discipline | Strategic Focus & Execution | Core Capabilities |
|---|---|---|
| Founder-Led Product Strategy | 0-to-1 product roadmapping, technical defensibility, and developer-first product architecture | PRODUCT 0-TO-1 ROADMAP |
| Go-To-Market (GTM) & Distribution | GitHub Marketplace launches, developer adoption funnels, and self-serve viral distribution | GTM MARKETPLACE DEVREL |
| Enterprise Sales & Client Advisory | High-stakes B2B client advisory, commercial contracts, and institutional confidentiality | B2B SALES CLIENT ADVISORY DEALS |
| Brand Architecture & Digital Commerce | Multi-channel media houses, high-converting digital platforms, and luxury brand positioning | BRANDING E-COMMERCE MEDIA |
Substantive contributions to established production codebases, working within existing architecture, repository conventions, explicit invariants, review feedback, and regression requirements — categorized across 4 foundational engineering pillars.
KV-cache prefix optimization, GPU kernel interface slots, model tokenizer parity, and high-throughput inference serving.
| Project | Domain & Stack | Architectural Invariant & Engineering Focus | Upstream Work |
|---|---|---|---|
| Hugging Face Diffusers | GenAI · Python | InpaintProcessor 3-tuple return contract preservation when mask tensor input is None | Merged PR #14481 |
| SGLang | LLM Runtime · CUDA | Mid-turn inline system message in-place attachment preserving RadixAttention prefix cache | Checks Green PR #42533 |
| vLLM | LLM Serving · Python | Warn on unsupported non-text system content blocks in Anthropic Chat API | Checks Green PR #61721 |
| vLLM | LLM Serving · Python | Empty and non-mapping YAML configuration validation preventing unhandled CLI startup crash | Checks Green PR #60319 |
| OpenAI Triton | GPU Compiler · C++ | Nanobind static build free-threaded Python PEP 703 GIL module slot declaration | Checks Green PR #12221 |
| Meta TorchTune | LLM Training · Py | Mistral and Gemma end-token generation stopping control and tokenizer parity | 3/3 Green PR #2977 |
| Aider | AI Dev Tool · Python | Enforce strict token budget ceiling during repository map binary search | Checks Green PR #5854 |
| Continue | AI Dev Tool · TS | Prevent negative prompt budget and silent prompt wipeout on small context models | Checks Green PR #13379 |
Vector code generation, register liveness preservation, async event-loop timer tracking, and kernel-adjacent microVM runtimes.
| Project | Domain & Stack | Architectural Invariant & Engineering Focus | Upstream Work |
|---|---|---|---|
| LLVM | Compiler · C++ | X86 SelectionDAG non-power-of-two vector integer division vectorization and target lowering | Merged PR #215076 |
| Tokio | Async Runtime · Rust | Current-thread paused time wake tracking and zero-syscall timer queue preservation | Merged PR #8595 |
| LLVM | Compiler · C++ | X86 CodeGen preserve XMM register liveness across VZEROUPPER and check register clobbers | 12/12 Green PR #218873 |
| AWS Firecracker | MicroVM · Rust | Resolved clippy infallible destructuring match on TimerFd in optimized release builds | Merged PR #6262 |
| Bun | JS Runtime · Zig | Node.js Buffer per-encoding methods receiver type conformance in JavaScriptCore bindings | 2/2 Green PR #44571 |
| Cloudflare Workers SDK | Edge Runtime · TS | Raw TCP socket streaming and backpressure handling for rejected WebSocket upgrades | 54/54 Green PR #15205 |
Vectorized query execution, partition in-memory ordering, schema nullability conformance, and distributed storage engines.
| Project | Domain & Stack | Architectural Invariant & Engineering Focus | Upstream Work |
|---|---|---|---|
| DuckDB | Database · C++ | PIVOT IN list zero-argument row() expression preservation and null dereference guard |
Merged PR #26443 |
| Meta Velox | Query Engine · C++20 | TopNRowNumber in-memory rank ordering correctness and partition stream execution parity | Merged PR #18529 |
| Apache DataFusion | Query Engine · Rust | Execution-layer schema conformance across in-memory physical execution and aggregation | Merged PR #24394 |
| Valkey | Datastore · C99 | Cluster key-slot resolution and client-side cache validation for arbitrary key commands | Merged PR #4424 |
| ClickHouse | OLAP Engine · C++20 | Bounds validation on parallel replicas legacy query plan limit enforcement pipeline | 174/176 Green PR #114954 |
| Apache DataFusion | Query Engine · Rust | PushDownFilter clippy mutable key type allow annotations for logical Expr hash sets | 43/43 Green PR #26189 |
| Apache DataFusion | Query Engine · Rust | Safe downcast to FixedSizeBinaryArray in CASE literal vectorized lookup evaluation table | Merged PR #26096 |
| Apache DataFusion | Query Engine · Rust | Sort-merge semi, anti, and mark join key equality routing via JoinKeyComparator | 42/42 Green PR #26006 |
| Redpanda | Streaming · C++20 | RPC transport memory semaphore unit retention across queued outbound request entries | 9/9 Green PR #31594 |
| Supabase Supavisor | Pooler · Elixir | PostgreSQL query cancellation key synchronization across pooled backend connection reuse | Checks Green PR #1149 |
Deterministic approval chains, MCP protocol streaming, type inference hierarchies, and cryptographic consensus.
| Project | Domain & Stack | Architectural Invariant & Engineering Focus | Upstream Work |
|---|---|---|---|
| Microsoft Pyright | Type Checker · TS | Inherited asymmetric descriptor detection and type inference across effective MRO hierarchy | Merged PR #11605 |
| Microsoft TypeSpec | API Compiler · TS | Playground state synchronization and deterministic compiler regression suite coverage | Merged PR #11660 |
| Microsoft Agent Governance | Agent Safety · Python | Fail-closed approval-chain invariant enforcement for zero-required-stage configurations | Merged PR #3448 |
| Microsoft Agent Governance | Agent Safety · Python | Policy fixture schema validation rejecting test definitions missing explicit expectations | Merged PR #3442 |
| eBay NuRaft | Consensus · C++17 | Rejection of concurrent snapshot sync requests during asynchronous finalization race window | Merged PR #663 |
| Bushido Han | Agent Tooling · Rust | Windows project-path normalization compatibility with Claude Code workspace slug rules | Merged PR #105 |
| Anthropic MCP SDK | Agent Protocol · TS | Stream resumption support for SSE event identifiers containing underscore delimiter tokens | 14/14 Green PR #2567 |
| Ledger Ragger | Secure Element · Py | Hardware wallet firmware project discovery across linked git worktrees and submodules | 7/7 Green PR #291 |
| Ethereum go-ethereum | Execution · Go | Bound leveldb/pebble database batch memory size during filtermaps log index rollback | Checks Green PR #35586 |
| Paradigm Reth | Execution · Rust | Transaction pool live iterator candidate demotion when earlier transactions are reinserted | Mergeable PR #27707 |
| Web3.py | Ethereum SDK · Py | Async socket teardown lifecycle synchronization and deterministic future test harness | Tests Green PR #3872 |
| Vercel Next.js | Web Framework · TS | Segment-cache client navigation recovery with full-page fallback guard on stale prefetches | 3/3 Green PR #97815 |
Additional upstream work spans Meta Pyrefly, Google ADK, OpenAI Python, Ethereum go-ethereum, Bitcoin Core, iCalendar, Vercel AI SDK, Claude Agent SDK ecosystems, Docker, JAX, Cloudflare Workers, Solana Web3.js, and other production systems.
Independent upstream engineering. Contributions do not imply employment, partnership, endorsement, or client relationships with the organizations listed above.
Symptom
→ execution behavior
→ architectural invariant
→ root cause
→ minimal durable correction
→ deterministic validation
The objective is not maximum code output. It is the smallest correct change that fits the system.
Technical depth is paired with founder-level commercial context: understanding what should be built, why it matters, how it reaches users, how it creates value, and how to execute without unnecessary complexity.
Private systems architecture, client advisory, and commercial engagements operate under strict institutional confidentiality.
Open to selective projects, founder collaborations, and technically ambitious companies with real budgets, clear decision-making, and urgency to execute — particularly where the problem is difficult and there is no artificial ceiling on scope or industry.
