Personal Data & Target Position
基本情報・希望職種- Name 氏名
- Péter József Lódri (ロドリ・ペーテル・ヨージェフ)
- Target Company
- Preferred Networks (PFN · プリファードネットワークス) — Otemachi, Chiyoda-ku, Tokyo (大手町フィナンシャルシティ)
- Target Role 希望職種
- Senior Rust Systems & Custom AI Accelerator Engineer (MN-Core / PLaMo / Rustuna) (¥12,000,000 – ¥22,000,000+ JPY)
- Dedicated Site
- https://pfn.vaked.dev (Interactive CV, PDFs, ELI5 & LinkedIn Kit)
- Passport / Visa
- LODRI PETER JOZSEF · No. BJ3429501 (Hungary (EU Citizen · ハンガリー国籍)) · Visa Ref: LYYT5925161
- Born 生年月日
- 16 July 1992 (満34歳) · Tatabánya, Hungary
- Address 現住所
- Szőlődomb utca 77, 2800 Tatabánya, Hungary — relocating to Tokyo (東京へ移住予定 / 現在東京滞在)
- LinkedIn & GitHub
- linkedin.com/in/peter-lodri · github.com/peterlodri-sec · github.com/8b-is
Education
学歴（高校以降すべて）| Period / 期間 | Institution & Qualification / 学校・専攻 |
|---|---|
| 2007.09 – 2011.06 | Secondary school graduation · 高等学校卒業 — Bárdos László Gimnázium（バールドシュ・ラースロー高等学校, Tatabánya）
Advanced Mathematics, Physics, Sport & Computer Science · Comenius Logo Hungarian Championship participant（数学・物理・情報科学・スポーツ重点課程、Comenius Logo 全国大会出場） |
| 2013.09 – 2017.06 | BSc, Recreation and Health Development · 学士 — University of Physical Education, Budapest（ハンガリー体育大学）
Full Bachelor of Science degree (qualifies for Japanese Engineer / Specialist in Humanities visa status · 技術・人文知識・国際業務ビザ要件適合) |
| 2015 | Learn to Program and Analyze Data with Python · 修了 — University of Michigan (Coursera)
Data structures, algorithmic analysis, and scientific Python programming |
| 2016 | Junior Software Developer, Computer Science · 修了 — Green Fox Academy（ブダペスト）
Intensive full-stack & systems software engineering program |
Professional Experience & Open-Source Leadership
職務経歴書| Period / 期間 | Role & Engineering Impact / 職務・実績 |
|---|---|
| 2024 – present | Principal Architect & Research Lead — 8b-is（Family Research Company ファミリー研究機関） & Open-Source Architect
Architected and shipped ZENO (銭・禅・善, zeno.vaked.dev) — sovereign proof-of-contribution neo-bank with double-entry Kintsugi SHA-256 ledger and procedural Web Audio DSP; AURORA (8b-is.github.io/aurora — sovereign AI assistant & MEM|8 wave-quantum architecture); MLX-QUANT & pureQTern (1.58-bit BitNet ternary {-1, 0, +1} inference & Metal GPU kernels achieving 12.80× memory compression); AgentField multi-reasoner orchestration; and ~200 edge-deployed systems. Open-source Core Architect on Osaurus (osaurus-ai/osaurus — native Swift macOS AI agent harness with persistent memory & cryptographic identity) and Osiris (simplifaisoul/osiris — real-time OSINT 3D global intelligence platform), and contributor to Headroom (headroomlabs-ai/headroom PR #1418 — kompress domain-routing bias multipliers).
Rust · C · Swift 6 · Metal / WebGL2 · Python · TypeScript · Cloudflare Workers · BitNet b1.58 |
| 2024.05 – present | Senior Software Engineer — Plandek
Enterprise engineering metrics & delivery intelligence platform. Architect and maintain analytics pipelines and full-stack telemetry across a polyglot distributed stack.
TypeScript · React · Python · Distributed Analytics |
| 2023.05 – 2024 | Senior Software Engineer — Virality Data
Designed and operated high-throughput distributed ingestion and processing pipelines across millions of video streams.
Kafka · Puppeteer · Celery · Pandas · AWS · JavaScript · Python |
| 2022 – 2023 | Senior Software Engineer — ASAPP Inc.
AI-powered customer-service platform for Fortune-100 enterprises. Reduced customer–agent response latency by 50–70% via low-latency event-driven microservices.
Go · Kotlin · Scala · Kubernetes · Kafka · AWS |
| 2022 | Lead Go Developer — DailyWire.com
Led the backend engineering team for an integrated live chat and video streaming platform serving 110,000+ concurrent users.
Go · Python · AWS · High-Concurrency Streaming |
| 2021 – 2022 | Senior Python Developer — Institutional Fintech (Sixth Street Partners · Citadel · Morgan Stanley)
Modernized quantitative trading and financial data software stacks from legacy systems to cloud-native, deterministic ETL pipelines.
Python · Bash · AWS · Docker · Quantitative ETL |
| 2019 – 2021 | Lead Python Backend Developer — Cygnet Dooel
Designed mission-critical cyber-intelligence infrastructure, led offensive-security product engineering, and mentored engineers in advanced systems Python.
Python · AWS · Android · C · Go · Java · Kubernetes |
| 2017 – 2019 | Python & Systems Security Developer — Inpedio
Built custom Android kernel/security tooling and messaging behavior-analysis engines; engineered a working Linux kernel kptr_restrict bypass.
Python · C · Android Internals · Java · Go |
| 2016 – 2017 | Software Developer — Saltech Consulting
Built a custom automated UI verification and testing framework for Siemens.
Python · GCP · Java · PEGA |
Technical Skills & Languages
スキル・語学Rust, C, Swift 6, Go — SIMD, custom Metal/GPU kernels, BitNet b1.58 {-1, 0, +1} ternary quantization (12.80× compression), zero-dependency binaries.
Unity, Three.js, WebGL2, GLSL/HLSL shaders, vector/oscilloscope synthesis, 3D geospatial/LiDAR telemetry (Osiris), procedural Web Audio.
Core Architect on Osaurus (osaurus-ai/osaurus) & Osiris (simplifaisoul/osiris); contributor to Headroom (PR #1418); AgentField verifiable compute.
English (fluent), Hungarian (native), Spanish, Latin, Esperanto, Romani, Macedonian; daily Japanese in Tokyo. Code: Rust, C, Go, Python, Swift 6, TypeScript, Kotlin, Scala, Ada.
Selected Works, Links & LinkedIn Network for Preferred Networks (PFN · プリファードネットワークス)
制作実績・リンクTailored Interactive Showcase & Verified Repositories
• Dedicated Subdomain Site: https://pfn.vaked.dev · Master Hub: https://apply.vaked.dev
• Open-Source Architect & PRs: osaurus-ai/osaurus · simplifaisoul/osiris · headroomlabs-ai/headroom#1418 · github.com/8b-is
Direct Portal & LinkedIn Contacts (Preferred Networks (PFN · プリファードネットワークス))
• Official Careers Portal: https://www.preferred.jp/en/careers/ · Company LinkedIn: https://www.linkedin.com/company/preferred-networks/
- Toru Nishikawa (西川徹) (Co-Founder, President & CEO, Preferred Networks) — https://www.linkedin.com/search/results/people/?keywords=Toru%20Nishikawa%20Preferred%20Networks
- Daisuke Okanohara (岡野原大輔) (Co-Founder & Chief Technology Officer (CTO), Preferred Networks) — https://www.linkedin.com/search/results/people/?keywords=Daisuke%20Okanohara%20Preferred%20Networks
- PFN Talent Acquisition & Compiler/Systems Team (Engineering Recruiting · Otemachi, Tokyo) — https://www.linkedin.com/search/results/people/?keywords=Preferred%20Networks%20Recruiter%20OR%20Talent%20Tokyo
Why Preferred Networks (PFN · プリファードネットワークス)
志望動機Preferred Networks stands virtually alone in Japan in owning the entire vertical stack — from custom MN-Core systolic matrix silicon and compiler toolchains down to sovereign Japanese foundation models (PLaMo) and black-box optimization (Optuna / Rustuna). My engineering obsession is that exact boundary where mathematical structure meets hardware memory layout: writing zero-dependency C and Rust ternary codecs (pureQTern) that agree to the single bit, and custom GPU kernels (MLX-QUANT) that cut memory bandwidth by 12.80×.
Preferred Networks（PFN）が推進する独自AI半導体「MN-Core」シリーズから国産基盤モデル「PLaMo」、最適化基盤「Optuna / Rustuna」に至る垂直統合技術は、世界のAI計算基盤の中でも他に類を見ないものです。C言語とRustで1ビットの狂いもなく一致する三値量子化コーデック（pureQTern）やカスタムGPUカーネル（MLX-QUANT）をゼロ依存で実装してきた私のシステム工学スキルを、大手町のPFNチームでMN-CoreランタイムおよびPLaMo推論基盤の高速化に捧げたいと強く志望しています。
AI Usage & Verification Disclosure
AI利用に関する明記提出物の開発において、AIコーディングアシスタントを補助的に使用しました（雛形生成、ドキュメント整備、検証スクリプト補助）。企画・数理設計・アーキテクチャ決定・量子化およびリアルタイム描画の実装判断・最終ハッシュ検証はすべて応募者本人が行っています。
AI coding assistants were used strictly as a support tool for scaffolding and documentation formatting. All architectural design, mathematical formulation, kernel/shader implementation decisions, and cryptographic hash verifications were performed by the applicant.