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More than 25 years on IT as Developer and Architect. ICU certified mental Coach. Working for Walgreens Alliance Boots as Product Architect. SAFe Agilist
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Relatech SPA
Data Scientist
June 21, 2026 – Present
llm-wiki-nocode
May 23, 2026 – Present
No-code LLM Wiki implementation (Karpathy pattern): dual support for GitHub Copilot (.github/) and Claude Code (.claude/)
View ProjectMSFTAgentSample
April 18, 2026 – Present
Implementing Multi-Agent Pipelines with Microsoft Agent Framework: A Ground-Up Approach
View Projectexpense-tracker
April 11, 2026 – Present
Expense tracker with Angular and Firebase database
View ProjectSynDAI
February 8, 2026 – Present
AI Agentic application based on CrewAI allowing creation of sql script for synthetic data
View ProjectCrewAI-RAG-Sample
June 15, 2025 – July 20, 2025
This project uses CrewAI to demonstrate various RAG strategies for LLMs. It compares PDF analysis using native tools (PDFSearchTool, CrewAI Knowledge) and a custom FAISS tool. It's a practical guide to implementing RAG with autonomous agents for enhanced accuracy.
View ProjectCrewAI-Agentic-Jira
January 11, 2025 – February 3, 2025
CrewAI-Agentic-Jira: Enhance your Jira workflows with intelligent agent-driven automation. Powered by the CrewAI framework, this project enables seamless integration of GenAI agents to Jira
View Projecttopbar_app
January 6, 2021 – January 8, 2021
Flutter template app based on GetX with Login, Theme management, i18n and local persistence
View Projectcnn_corked_bottles
May 9, 2020 – May 9, 2020
Convolutional Neural Network for binary classification
View ProjectHelloWorldDL
March 1, 2020 – March 8, 2020
An easy example of Deep Learning with Tensorflow 2.0
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong inclination towards cutting-edge AI/ML technologies, particularly in agentic AI and LLMs. This indicates a proactive learning attitude and a passion for innovation, which could be a good cultural fit for a forward-thinking data science team. However, the project diversity outside of AI/ML is limited, and the experience level is not explicitly stated beyond the current role, making a comprehensive cultural fit assessment challenging.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.