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KingsAxe/README.md

About Me

AI/ML Engineer building production-oriented intelligent systems across NLP, LLM applications, retrieval-augmented generation, and data-driven decision support.

My work focuses on turning messy real-world data into usable AI/data products through practical model design, reliable backend architecture, and clear user-facing delivery.

On this GitHub, you’ll find projects around document intelligence, local-first RAG systems, customer feedback analytics, sentiment intelligence, risk segmentation, churn prediction, ML dashboards, FastAPI services, and data pipelines.

I work across the full lifecycle of AI systems: data ingestion, preprocessing, modelling, evaluation, API development, deployment, monitoring, and iteration.

I’m especially interested in applied AI products that solve real operational problems for startups, product teams, consulting teams, and data-driven businesses.

🌐 Portfolio & Socials

LinkedIn

Core Stack

Programming & Tools

Python SQL MATLAB TensorFlow PyTorch Scikit-learn Pandas NumPy Plotly LangChain Hugging Face Sentence Transformers

Data Engineering

Snowflake PostgreSQL pgvector AWS ETL / ELT Data Pipelines Data Warehousing Data Modeling Batch Processing Curated Data Layers KPI Marts

Deployment / MLOps

FastAPI Streamlit Docker Git GitHub MLflow CI/CD Model Monitoring Drift Detection Reproducible ML

AI / Machine Learning Focus

Machine Learning NLP LLM Applications LLM Fine-tuning RAG Prompt Engineering Predictive Modeling Classification Regression Time Series Feature Engineering Clustering Sentiment Analysis

Collaboration / Delivery

Technical Strategy Stakeholder Communication Cross-functional Collaboration Mentorship

Domains

FinTech E--Commerce Healthcare Retail Consulting Business Services

Dev Quote


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  1. local-rag-knowledge-engine local-rag-knowledge-engine Public

    Local-RAG-Engine: A research-grade, offline-first Knowledge Engine. Features persistence-aware memory using Postgres (pgvector), modular LLM switching via GGUF, and deterministic ingestion through …

    Python 4 1

  2. naija-macro-sentiment-tracker naija-macro-sentiment-tracker Public

    Azure-hosted platform for analyzing Nigerian macroeconomic sentiment from public text data. It ingests CSV and news sources, uses Azure AI Language for sentiment and opinion mining, stores results…

    Python 2

  3. call-center-analytics call-center-analytics Public

    CallSense-AI is an applied NLP pipeline for analyzing large-scale call transcripts, combining embedding-based clustering and zero-shot classification to identify hidden intent patterns and operatio…

    Jupyter Notebook 3

  4. Churn-Analysis-Project Churn-Analysis-Project Public

    A production-ready customer churn prediction system featuring an interpretable, 80%-recall decision tree model and a deployed Streamlit dashboard designed to deliver transparent and actionable busi…

    Python 2

  5. driver-behavior-clustering driver-behavior-clustering Public

    Developed a driver behavior clustering model for an auto-insurance company to support personalized pricing. Using a dataset of 10,000 customers with engineered driving features, the project applies…

    Jupyter Notebook 3

  6. Multi-Tenant-Asterisk-ARI-System Multi-Tenant-Asterisk-ARI-System Public

    This project delivers a multi-tenant ARI (Asterisk REST Interface) system that allows multiple businesses to operate independent telephony systems on a shared infrastructure. Think of it as a cloud…

    TypeScript 4