Software & Data Architecture and Tech Innovation Consulting

Helping teams design systems that scale and organizations turn emerging technology into working advantage.

I work with two kinds of clients: engineering teams who need a trusted architect for their software, data, and cloud systems, and organizations trying to figure out what AI, automation, and no-code/low-code should actually mean for their business. Engagements range from a scoped architecture audit to an ongoing fractional advisory role.

Background

7+ years of hands-on experience solving real-life problems using cutting-edge technologies, from Big Data engineering to Software and Data Architecture. Stack includes Python (FastAPI, Celery), Golang, Ambari-managed clusters (Hadoop, Spark, Hive, Livy), ELK, Airflow, Kafka, Redis, Databricks, Azure (AKS, Blob Storage, Functions, Data Factory), AWS (CloudFront, S3, EC2, ECS, Lambda), and no-code/low-code platforms (Mendix, OutSystems, Bubble, AppSmith, FlatLogic). Also spent time teaching, and plan to return to it one day.

Technical Skills

Big Data & Cloud Architecture

Designing scalable big data solutions, pipelines and cloud architectures using Azure, manage, process, and analyze massive datasets efficiently.

Artificial Intelligence Solutions

Leveraging advanced AI techniques to build intelligent systems, from machine learning models to natural language processing, driving innovation and automation.

Python-Powered Development

Crafting robust applications and data solutions with Python, utilizing frameworks like FastAPI and Celery to deliver high-performance, distributed systems.

No Code & Low Code Innovation

Empowering businesses with no-code and low-code platforms like OutSystems and Bubble, enabling rapid development and deployment with minimal coding.