lainess

About

Backend & ML Engineer · Tokyo, Japan

I build Python backend services, applied machine learning systems, and development tools. My work includes industrial software, time-series processing, and bringing predictive models into backend applications.

I like automating things, especially tasks I keep doing by hand. I’ve built a lot of tools for my own work, including project generators, CLI utilities, and tools for working with AI agents. I use them to reduce manual work and keep my projects consistent.

Experience

Industrial Software Company

Industrial software · Remote

Python Backend Tech Lead

Mar 2026 – Present

Technical oversight of Python backend development for virtual flow metering.

  • Service and library architecture Own the FastAPI service architecture and oversee the shared Python library for virtual flow metering.
  • ESP regression models Developed models for pump degradation and liquid flow rate estimation.
  • Technical guidance and code reviewRefine technical tasks, clarify implementation details, guide junior developers, and review backend changes for architecture and code quality.
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Backend Engineer (Python, ML)

Sep 2024 – Mar 20261 yr 7 mos

Backend development and applied machine learning for oil and gas production.

  • Virtual flow metering service Designed the backend architecture and implemented APIs, data storage, physics-based model orchestration, and calibration workflows.
  • ML models for ESP wellsDeveloped models to predict five calibration coefficients for physics-based models and forecast production rates.
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Junior Python Engineer (ML / Backend)

Nov 2023 – Sep 202411 mos

Developed telemetry processing and applied machine learning for production forecasting.

  • Telemetry pipelinesFiltering, trend detection, anomaly detection, and dashboard data preparation.
  • Production rate forecastingDeveloped an ML model to forecast production rates as part of a research project.
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Personal R&D

Independent projects

Developer tools, backend & infrastructure

Jan 2025 – Present

Build and maintain personal projects in developer tooling, backend systems, and infrastructure.

  • Engineering automationLLM-assisted workflows, project and task services, and repository scaffolding.
  • Deployment and observabilityDeployment infrastructure and Prometheus/Grafana monitoring.
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Earlier experience

Data systems & infrastructure

Algorithmic Trading Developer

Sep 2022 – Nov 20231 yr 3 mos

Developed Binance trading bots, backtesting workflows, and market data pipelines.

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Mining Farm Engineer

Feb 2021 – Sep 20221 yr 8 mos

Assembled and maintained a mining farm with 500+ GPUs, including diagnostics and mining software configuration.

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Skills

Backend
  • Python
  • asyncio
  • REST APIs
  • FastAPI
  • Pydantic
  • SQLAlchemy
  • Alembic
Data & storage
  • PostgreSQL
  • pgvector
  • ClickHouse
  • Garage (S3-compatible storage)
Machine learning & MLOps
  • scikit-learn
  • CatBoost
  • PyTorch
  • Hydra
  • Optuna
  • MLflow
  • MLOps
Infrastructure & Deployment
  • Oracle Cloud Infrastructure
  • Docker
  • Docker Compose
  • CI/CD
  • GitHub Actions
Observability
  • Prometheus
  • Grafana
  • structlog
Messaging & Data Integration
  • RabbitMQ
  • Debezium
Development tools
  • CLI
  • Agentic Development Tooling
  • Git
  • GitHub
  • Bitbucket
  • Jira
  • Copier

Education

ISI Language School, Shinjuku

Tokyo

Career Japanese Course

Apr 2025 – Present

Moscow State Institute of Radio Engineering, Electronics and Automation (Technical University)

Moscow

Robotics and Mechatronics · Master’s degree

Sep 2019 – Jun 20212 yrs

Graduated with honors · GPA: 5.0/5.0

Control in Technical Systems · Bachelor’s degree

Sep 2015 – Jun 20194 yrs

Languages

English
Upper-intermediate
Japanese
Pre-intermediate
Russian
Native