
Python Developer & AI/ML Engineer building real-world AI systems, dashboards, and automation tools. Focused on production-ready applications, and RAG systems
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
oklahoma-affordability-estimator
May 18, 2026 – Present
oklahoma-affordability-estimator — repository
View Projectai-ops-automation-dashboard
March 18, 2026 – Present
AI-powered operations dashboard for automation and system insights
View Projectbdcreativesystems-star.github.io
March 8, 2026 – Present
bdcreativesystems-star.github.io — repository
View Projectai-document-intelligence
March 7, 2026 – Present
A Retrieval-Augmented Generation (RAG) system that allows users to upload PDFs and query them using a local LLM. Built with FastAPI, LangChain, Ollama, and a custom JavaScript interface.
View Projectfraudshield-ai
February 26, 2026 – Present
Real-time fraud detection & analyst decision platform built with FastAPI and machine learning
View Projectai-platform-v1
February 25, 2026 – Present
End-to-end AutoML platform for tabular classification with model versioning and live FastAPI deployment.
View ProjectAI-Automation-Blueprint-Generator
February 22, 2026 – Present
A local AI assistant built with LangChain and Ollama that generates automation workflows for small businesses.
View ProjectPropVision
February 16, 2026 – Present
Real Estate Listing Aggregator & Dashboard built with Python & Flask
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on AI/ML and backend Python development, with some frontend elements (HTML, CSS, JavaScript) primarily for user interfaces to these systems. While there is exposure to frontend technologies, the depth and breadth required for a dedicated 'Frontend Developer' role appear limited. The project diversity is good within the AI/ML domain, but less so for pure frontend development. This suggests a potential misalignment with a dedicated frontend role, leaning more towards a full-stack or backend AI/ML role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but no direct communication or collaboration examples are provided.