Technical portfolio
Data & AI Solutions Architect
AWS Data Architecture · Generative AI & Amazon Bedrock · Big Data · Former University Lecturer
I design and build Data & AI systems—from data foundations and distributed processing to cloud applications, machine learning and Generative AI.
Explore selected work ↓01 / Selected work
Projects selected for engineering depth, relevance and inspectable public evidence.
Flagship engineering project
Full-stack occupational-burnout platform combining mobile engineering, Firebase cloud services, offline persistence, Fitbit integration and analytics dashboards.
Academic engineering · Technical direction
Collaborative academic system integrating QR processing, HC1 decoding, photo embedding, Firebase persistence and analytics under my academic and technical direction.
Burnout analysis covering preparation, modeling and results in the context of a Big Data Master's degree.
Python · Jupyter · OrangeDistributed processing for joining, cleaning and exploring large tabular datasets with Apache Spark.
Python · PySpark · JupyterCommand-line face detection with OpenCV Haar cascades, bounding-box processing and structured JSON output.
C++ · OpenCV · JSONA technical evidence hub connecting public projects, writing and professional identity through structured metadata and cross-linking.
HTML · CSS · GitHub Pages · Schema.org02 / Technical writing
A data-foundation-first approach to AI platforms using Amazon S3, AWS Glue, Amazon Athena and Amazon Bedrock with RAG.
03 / About
I work at the intersection of data platforms, cloud architecture and AI. My portfolio spans product engineering, distributed data processing, machine learning, computer vision and technical education.
My teaching background shapes how I document systems: architecture should be inspectable, trade-offs should be explicit and claims should be supported by evidence.
Entity Home ↗04 / Connect
Selected public evidence is here. My broader professional identity is linked across the profiles below.
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