Senior Software Engineer | Python & Architecture
Michal Simonienko
I design production-grade Python systems, data platforms, and LLM-powered workflows that teams can debug, trust, and ship fast.
I don't just write code.
I architect solutions.
I approach every project as a system to be designed, not just a feature to be coded. From data models and backend boundaries to deployment pipelines and observability, I think in terms of the full picture.
My focus is on Python, architecture, and modern data environments. More recently, that also means integrating LLMs into business applications with a clear view of what current models can reason about reliably, where they fail, and how to design guardrails around them.
Engineering-Quality Python
Django, FastAPI, Strawberry, SQL, Bash. I build Python systems for maintainability, debugging clarity, and long-term ownership.
CoreArchitecture & Modernization
Microservices, modular monoliths, system migrations, and complex backend refactors focused on scaling without losing iteration speed.
SpecialtyLLM Integration
Pydantic AI, RAG, LlamaIndex, prompting, evaluation, and workflow design that respects model limitations instead of pretending they do not exist.
Applied AICloud & Delivery
Docker, AWS, GitLab CI/CD, Coolify, PostgreSQL, Redis. I care about reliable releases, fast rollback paths, and smooth developer workflows.
ProductionData Platforms
PostgreSQL, ClickHouse, Spark, Databricks. I design data environments that stay performant and understandable under real production load.
ScaleLeadership & DX
Team leadership, code reviews, mentoring, and internal tooling that help engineers move faster without lowering the engineering bar.
Team impactClinical Data Platform & LLM Extraction
At Beaconcure, I am refactoring a complex clinical analysis backend, leading pipeline migration toward Databricks, and integrating LLM workflows to automate and verify extraction of difficult medical data.
Fintech API & GraphQL Modernization
At MUFG, I helped replace a legacy Hasura stack with a FastAPI and Strawberry architecture, removed scaling bottlenecks, and built internal tooling and standards used across multiple engineering teams.
Weather Insurance Data Environment
At Climatica, I led delivery of the core weather insurance engine and architected a large-scale data environment on ClickHouse, Redshift, and Spark for satellite weather processing and AI modeling teams.
RAG & GovTech LLM Products
I also build smaller AI products like Insightium and Verita: systems focused on grounded retrieval, compliance verification, official-document analysis, and precise extraction from difficult source material.