- Developing backend applications with C# and ASP.NET Core Web API
- Designing relational database structures with PostgreSQL and SQL Server
- Building data analysis and machine learning projects with Python
- Creating business intelligence reports with Power BI and DAX
- Working on ETL processes, data modeling and reporting workflows
- Interested in data engineering, backend development and AI-driven solutions
- Building backend services with ASP.NET Core
- Improving relational database design and SQL skills
- Developing reproducible ETL and data analysis workflows
- Creating business intelligence reports with Power BI
- Applying machine learning techniques to real-world datasets
An AI-powered financial research assistant that analyzes SEC 10-K filings and generates source-grounded answers using Retrieval-Augmented Generation.
Key Features
- SEC 10-K filing analysis for selected NASDAQ companies
- Retrieval-Augmented Generation with source citations
- Semantic search using PostgreSQL and pgvector
- Python-based AI service with FastAPI
- ASP.NET Core Web API integration
- Local model execution with Microsoft Foundry Local
- Interactive financial research interface
Tech Stack: C# · ASP.NET Core · Python · FastAPI · PostgreSQL · pgvector · RAG · Microsoft Foundry Local