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Dariusz Chylinski

@dariuszchylinski

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Applied AI Engineer at TensorX who reduced inference costs by 37% and median latency by 29%.

Poland

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What I'm looking for

I'm particularly interested in advancing autonomous AI systems, agent capabilities, and AI-powered developer tools.

At TensorX, I led applied research and production engineering for conversational AI systems. I compared fine-tuning, prompt optimization, and retrieval approaches, and developed evaluation datasets and benchmarking workflows.

I designed RAG pipelines that improved grounded-answer accuracy by 34%, and architected production AI applications that contributed to a 46% reduction in manual benefits administration workloads. I also optimized performance, reducing inference costs by 37% and median latency by 29%.

Earlier, at Stepwise, Synerise, and Graftcode, I developed machine learning applications and data pipelines, including document-processing workflows. I'm particularly interested in reliable LLM agents, autonomous software development, and AI-powered developer productivity.

Experience

Work history, roles, and key accomplishments

Applied AI Engineer

TensorX

Oct 2022 - Apr 2026 (3 years 6 months)

Led applied research and production engineering for conversational AI systems, improving inference efficiency and reducing costs. Architected production AI applications and RAG pipelines, contributing to significant reductions in manual workloads and regressions.

Python PyTorch Transformers Lang Chain OpenAI Azure OpenAI Anthropic: Claude AWS fastAPI Django RAG Pgvector Kubernetes Terraform ArgoCD Azure GCP Docker CI CD Pytest Contract Testing Prometheus Grafana OpenTelemetry

Machine Learning Engineer

Stepwise

Feb 2020 - May 2022 (2 years 3 months)

Developed production Python applications integrating machine learning models, LLMs, and enterprise data sources. Built conversational AI applications and retrieval pipelines, improving retrieval relevance and production reliability.

Python Lang Chain OpenAI Anthropic Embeddings Pgvector OCR PDF Parsing Celery Redis Pytest Docker Kubernetes Terraform AWS GCP Prometheus Grafana OpenTelemetry

Junior AI Engineer & Data Analyst

Synerise

Jul 2017 - Jul 2019 (2 years)

Developed Python and SQL pipelines for data ingestion and preparation for machine learning applications. Built preprocessing workflows and customer behavior models, improving data completeness and targeting precision.

Python SQL PySpark scikit learn Airflow Data Validation Data Lineage

Machine Learning Engineer

Graftcode

Feb 2015 - Jun 2017 (2 years 4 months)

Developed Python and Scikit-learn pipelines for multilingual financial document classification and automated information extraction. Improved extraction reliability and reduced manual processing effort through data preprocessing and automation.

Python scikit learn OCR PostgreSQL ETL BASH Linux Data Quality