Building data systems that scale
Software engineer with a robotics & AI background, currently working as a Data Engineer. Founder of ViteFunnels — a digital solutions and consultancy agency.
What I work on
Specialized in building end-to-end data systems and intelligent solutions
Data Engineering
Designing scalable ETL pipelines, data lakes, and warehouses that power real-time analytics.
AI & Machine Learning
Building intelligent systems from computer vision to NLP, with production-grade ML pipelines.
Robotics
ROS-based autonomous systems, sensor fusion, and real-time control architectures.
Full-Stack Development
Modern web applications with React, TypeScript, and cloud-native backends.
DevOps & Infrastructure
CI/CD pipelines, containerized deployments, and infrastructure as code on AWS/GCP.
Consultancy
Helping startups and enterprises architect scalable digital solutions through ViteFunnels.
Technologies I use
Let's build something together.
Whether you need a data pipeline, an AI solution, or a full digital product — I'd love to hear about your project.
Writing & Thinking
On data engineering, AI, robotics, and digital growth.
A Mistake of Claude Code: The Birth of its Competitors
The inside story of how a single .npmignore mistake exposed Anthropic's source code and sparked the birth of open-source competitors in a 4 AM rebellion.
How I Built This Website for Under $3: AI-Powered Development with Claude Code
A complete guide to building a professional portfolio and blog website using AI tools, free hosting, and minimal budget. Includes exact prompts and step-by-step instructions to clone this project.
Building Scalable Data Pipelines with Apache Spark: A Complete Guide
Learn how to design and implement production-ready data pipelines using Apache Spark. Covers architecture patterns, best practices, fault tolerance, and real-world examples for processing millions of events per second.
Deploying Machine Learning Models to Production: A Complete Guide
Learn how to take ML models from Jupyter notebooks to production-ready systems. Covers containerization, model versioning, A/B testing, monitoring, and MLOps best practices with real examples.
ROS 2 Fundamentals for Robotics Development: A Practical Guide
Master Robot Operating System 2 (ROS 2) for building autonomous robots. Learn nodes, topics, services, actions, and practical patterns for real-world robotics applications.