履歴書 ・ 職務経歴書 · résumé · curriculum vitae

Péter József Lódri

ロドリ・ペーテル・ヨージェフ · passport: LODRI PETER JOZSEF (Hungary)

Personal data

Name 氏名
Peter József Lódri · ロドリ・ペーテル・ヨージェフ
Born 生年月日
16 July 1992 · Tatabánya, Hungary ハンガリー出身
Nationality 国籍
Hungary (Hungarian) ハンガリー
Address 現住所
Budapest, Hungary — relocating to Tokyo 東京へ移住予定
Contact 連絡先
peter.lodri@gmail.com (primary) · cabotage@pm.me · +36 20 391 5161
Availability
Available immediately · full CET/JST overlap · EU work authorization (no sponsorship required)

Education

期間 / Period学校・専攻 / Institution & field
2011 – 2016 University / College — degree programme
【要記入】 school name, city, degree, field of study
2007 – 2011 Secondary school 高等学校 — high school
【要記入】 school name, city, course / specialisation

Fields marked 【要記入】 are facts only you can confirm — the résumé is otherwise complete.

Professional experience

期間 / Period職務 / Role
2024.05 – present Senior Software Engineer — Plandek
Engineering metrics & analytics platform. Build and maintain analytics features across the platform; review code across a polyglot stack.
TypeScript · React · Python
2023.05 – 2024 Senior Software Engineer — Virality Data
Large-scale social-media scraping (millions of videos). Designed and operated high-throughput ingestion and processing pipelines.
Kafka · Puppeteer · Celery · Pandas · AWS · JavaScript · Python
2022 – 2023 Senior Software Engineer — ASAPP Inc.
AI-powered customer-service platform for Fortune-100 companies. Improved customer–agent response time by 50–70% via a microservices architecture.
Go · Kotlin · Scala · Kubernetes · Kafka · AWS
2022 Lead Go Developer — DailyWire.com
Streaming platform with 110k concurrent users. Led the backend team for an integrated chat + video streaming platform.
Go · Python · AWS
2021 – 2022 Senior Python Developer — various fintech (Sixth Street Partners · Citadel · Morgan Stanley)
Modernized trading software stacks from legacy systems to cloud-native ETL.
Python · Bash · AWS · Docker
2019 – 2021 Lead Python Backend Developer — Cygnet Dooel
Advanced cyber-intelligence solutions. Designed mission-critical security infrastructure and led offensive-security product development; mentored new hires in advanced Python.
Python · AWS · Android · C · Go · Java · Kubernetes
2017 – 2019 Python Developer — Inpedio
Mobile security solutions. Built custom Android security/antivirus tooling and messaging behaviour-analysis tools; implemented a successful kptr_restrict bypass.
Python · C · Android · Java · Go
2016 – 2017 Software Developer — Saltech Consulting
Built a custom UI testing framework for Siemens.
Python · GCP · Java · PEGA

Skills & languages

Real-time graphics & audio

WebGL2, Web Audio, vector/oscilloscope synthesis, shader feedback, DSP.

Systems & performance

C, Rust, and Swift close to the metal — SIMD, memory layout, quantization, zero-dependency binaries.

Backend & distributed systems

Go, Python, TypeScript; microservices, Kafka, Celery, high-concurrency streaming, ETL.

Edge & cloud

Cloudflare Workers/Pages, D1/KV, AWS, GCP, Kubernetes, Docker, custom domains, deploy pipelines.

Security

Reverse engineering, Android internals, eBPF, pentesting.

ML systems

Ternary/BitNet quantization, MLX on Apple silicon, model loading, evaluation, honest reporting.

Human languages

English · Hungarian (native) · Spanish · Latin · Esperanto · Romani · Macedonian; basic Mandarin & Japanese (studying).

Programming languages

C · Rust · Python · Go · TypeScript/JavaScript · Java · Kotlin · Scala · Ada, and esoteric languages generally.

Portfolio & code samples

Work samples / 制作実績

Interactive CV, drawn live in the browser (an example of the work itself): teamlab.vaked.dev · vaked.dev

Source & code samples / ソースコード: github.com/peterlodri-sec

Team vs. individual, and scope / チームか個人か・担当範囲

All work above was built individually, end-to-end — concept, design, math/algorithm decisions, implementation, and verification. In professional teams (ASAPP, DailyWire) I have led backend teams and owned subsystems, so I am equally comfortable as an individual contributor and as the bridge between artists and engineers.

AI usage disclosure

提出物の開発において、AIコーディングアシスタント(Crush 経由のLLM)を補助的に使用しました。使用範囲:コードの雛形生成、ドキュメント整備、テスト/検証スクリプトの作成、リファクタリング補助。人間が担当:企画・設計・数学/アルゴリズムの決定、ビジュアルとサウンドの方向性、リアルタイム描画や量子化の実装判断、最終確認と検証(ハッシュによる再現性チェック)。

I used an AI coding assistant (an LLM via Crush) as a support tool: scaffolding, docs, test/verification scripts, refactors. I — the human — did the concept, design, the math/algorithm decisions, the visual and audio direction, the real-time and quantization implementation calls, and the final verification (reproducibility by hash). I can walk through the exact scope per work in the interview.

Why teamLab

teamLab's line — "transcend these boundaries … everything exists in a long, fragile yet miraculous, borderless continuity" — is not a slogan to me; it is the exact shape of what I build. The work above moves between art and engineering, signal and symbol, the individual and the collective, because that seam is the most interesting place to stand. I want to make new experiences with a team that treats diversity of specialisation as the method, not the exception — and I want to do it in Tokyo. {−1, 0, +1} — and the scale lands once.