Backend Python Engineer · AI Systems Developer

Reliable backend systems for AI-enabled products.

I build secure, maintainable services with FastAPI, PostgreSQL, Redis, asynchronous workers, and production observability.

Engineering focus

01
Production backends
02
Distributed processing
03
Document intelligence
04
Operational reliability

Selected work

Systems built around real engineering constraints.

View all projects
Open Source01

Production AI Document Backend

An authenticated asynchronous document-processing backend with resilient workers, RBAC, audit logging, and end-to-end observability.

  • FastAPI
  • PostgreSQL
  • Redis
  • OpenTelemetry
View repository
Open Source02

LakeForge

A local data lakehouse combining batch ingestion, analytical storage, dbt transformations, orchestration, and monitoring.

  • ClickHouse
  • MinIO
  • dbt
  • Prefect
  • React
View repository
Private Commercial Project03

VERO

Private commercial SaaS for energy-sector workflows, AI-assisted document processing, workflow automation, and backend services.

  • Backend services
  • Document AI
  • RBAC
  • Cloud
Source and business data are private

Core stack

Purposeful technology choices.

Backend

Python, FastAPI, SQLAlchemy, Alembic, PostgreSQL

Systems

Redis, async workers, Docker, CI/CD, REST APIs

Observability

Prometheus, OpenTelemetry, Grafana, structured logging

Private commercial work

VERO — energy-sector workflow software.

A private commercial SaaS project combining AI-assisted document processing, workflow automation, role-based access control, backend services, and cloud deployment.

Read the public overview