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Report abuseData & Cloud Architect · Data/ML Platform Engineer · AI-native Builder
I build reliable data platforms, cloud-native systems, reproducible engineering environments, and AI-native products.
My work connects creative software, applied mathematics, distributed data processing, production cloud architecture, machine learning, and AI product engineering.
RetainAI — AI-native decision-intelligence platform built with cloud, security, explainability, and cost control in mind.
VersoVector — Classical ML/NLP exploration of semantic and emotional patterns in poetry.
MIAD-RAG-RealEstate — Cloud-native RAG and semantic-search system for real-estate recommendations.
Data & Cloud Engineering — Selected work across GCP, AWS, Spark, BigQuery, PostgreSQL, Cloud Run, and Terraform.
Core stack: Python · SQL · Spark · BigQuery · PostgreSQL · Cloud Run · AWS · GCP · Docker · Terraform
Current focus: AI Platform Engineering · Data/ML Platforms · Responsible AI · Cloud-native ML and RAG architectures
Liasoft preserves my early work in indie games, mobile applications, visual experiments, and creative coding.
Portfolio · Project Atlas · Builder Journey · Kaggle · Stack Overflow
logic meets creativity 💾🎸🌻
Emotional-semantic NLP & MLOps system for poetic language, combining multilabel classification, semantic similarity, topic modeling, clustering, and local serving.
Python
Text vectorization for multilabel movie genre classification, deployed on AWS using a serverless architecture.
Python 2
RAG-based Real Estate Recommendation System deployed on GCP
Jupyter Notebook
Isolated AI-assisted development workspace with Dev Containers, Codex CLI, Claude Code, Gemini CLI, AWS, Google Cloud, GitHub CLI, Docker, and Terraform.
Shell
Historical Python implementation of Markowitz mean-variance portfolio analysis, constrained optimization, efficient-frontier analysis, and reproducible validation.
Python 1
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