I'm a AI enthusiast, expert in Machine Learning, AI and cloud computing with over 17 years of IT experience
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
fabric-spark-validation
May 2, 2026 – Present
fabric-spark-validation — GitHub repository
View Projectpii-agent-demos
April 28, 2026 – Present
A demo AI-powered banking assistant that uses PII Shield to protect customer data from reaching the LLM. Built with Microsoft Agent Framework, Azure OpenAI (GPT-5.1), and Streamlit
View Projectdemo_sp_api_agent_foundry
March 3, 2026 – Present
Log Incident Agent — An AI-powered Azure VM support chatbot built with Azure AI Foundry and Chainlit. It answers questions using SharePoint-grounded knowledge and can log incidents to an Issue Management system via an Azure Function App.
View Projectdemo_fn_app
March 3, 2026 – Present
A Python-based Azure Function App that exposes an HTTP POST trigger endpoint. It receives requests containing a target URL, title, and description, then forwards them as POST requests to the specified external web application and returns the response. Built with Azure Functions and the Requests library.
View Projectagentic_ai_with_semantic_kernel
March 15, 2025 – October 3, 2025
agentic_ai_with_semantic_kernel — GitHub repository
View Projectlangchain-experiments
August 11, 2024 – August 11, 2024
langchain-experiments — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards AI/ML, data processing, and cloud technologies, which aligns well with a Data Scientist role. The diversity of projects, from PII protection to AI agents and data validation, suggests a broad interest in the field. However, the lack of traditional data science projects (e.g., predictive modeling, statistical analysis, large-scale data engineering) might indicate a stronger fit for an AI/ML Engineer role rather than a pure Data Scientist, potentially impacting cultural fit for a traditional data science team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive approach to exploring new technologies and building practical applications.