09/18/2025 updated


100 % available
Senior Full-Stack Developer with Data Science & Machine Learning Expertise
Eindhoven, Netherlands
Only remote
Electrical Engineering, Computer Science - USP - Universidade de São Paulo (1999)JavaScriptApache AirflowAmazon Web ServicesBig DataCloud ComputingContinuous IntegrationInformation EngineeringExtract Transform Load (ETL)Data WarehousingDevOpsDistributed SystemsDjangoElasticsearchGitHubScalability
Full-Stack Development
Extensive experience in full-stack development with expertise in backend technologies including Django, Flask, and various REST API frameworks, complemented by frontend skills in JavaScript, TypeScript, and modern frameworks.
Data Engineering
Advanced data pipeline development using Airflow, designing ETL/ELT processes, and implementing data warehousing solutions with technologies like PostgreSQL, Snowflake, and AWS services.
Machine Learning
Proficiency in developing and deploying machine learning models using PyTorch, TensorFlow, and specialized techniques for NLP, classification, and feature engineering.
DevOps & Cloud Infrastructure
Experience with CI/CD pipelines using GitHub Actions, Jenkins, and managing Kubernetes clusters for containerized applications across various cloud platforms.
Database Management
Expertise across SQL and NoSQL databases including PostgreSQL, Redis, Elasticsearch, MongoDB, and implementing efficient data storage and retrieval strategies.
API Development
Design and implementation of RESTful APIs, FastAPI, and microservices architectures with focus on performance, security, and scalability.
Big Data Processing
Implementation of data processing solutions using technologies like Kafka, Spark, Pandas, and distributed computing frameworks for handling large-scale datasets.
Extensive experience in full-stack development with expertise in backend technologies including Django, Flask, and various REST API frameworks, complemented by frontend skills in JavaScript, TypeScript, and modern frameworks.
Data Engineering
Advanced data pipeline development using Airflow, designing ETL/ELT processes, and implementing data warehousing solutions with technologies like PostgreSQL, Snowflake, and AWS services.
Machine Learning
Proficiency in developing and deploying machine learning models using PyTorch, TensorFlow, and specialized techniques for NLP, classification, and feature engineering.
DevOps & Cloud Infrastructure
Experience with CI/CD pipelines using GitHub Actions, Jenkins, and managing Kubernetes clusters for containerized applications across various cloud platforms.
Database Management
Expertise across SQL and NoSQL databases including PostgreSQL, Redis, Elasticsearch, MongoDB, and implementing efficient data storage and retrieval strategies.
API Development
Design and implementation of RESTful APIs, FastAPI, and microservices architectures with focus on performance, security, and scalability.
Big Data Processing
Implementation of data processing solutions using technologies like Kafka, Spark, Pandas, and distributed computing frameworks for handling large-scale datasets.
Experience
Professional experience10+ years
Freelancer since2019
Languages
EnglishFluent
Project history
Operating own small company providing consultancy services in software development, specializing in fullstack development, data engineering, and machine learning for startups and IT companies. Clients include PolySwarm, Marketer, Silvr, and Finmatics.
Designed and maintained scalable ETL pipelines using Airflow to gather, process, and enrich data on AI research papers. Integrated OpenAI and LangChain for LLM-powered workflows and data extraction. Performed feature engineering and trained Machine Learning Models for paper classification.
Developed fullstack features for the SaaS accounting platform, leveraging machine learning (LLMs) to automate accounting tasks. Performed extensive maintenance and defect fixing, addressing numerous issues introduced in previous releases.