🤖 AI Engineer Portfolio

This portfolio features advanced AI/ML projects with production-ready pipelines. It covers everything from LLM integration and model fine-tuning to deploying ML services and validating notebooks with CI workflows.

🧠 Highlights

• LLMs with Hugging Face Transformers
• Model training and evaluation notebooks
• MLOps-style workflow testing (nbmake, CI)
• Checkpointing and model lifecycle
• AI deployments with FastAPI & Docker

Project List

1. Multilingual Voice Agent for Public Services

Problem

Citizens struggle to access government info in native languages via digital channels.

Solution

Build a voice assistant that:

• Converts speech to text using Whisper
• Translates using NLLB (No Language Left Behind)
• Queries a knowledge base using RAG with LlamaIndex
• Speaks answers via TTS (Bark or Coqui)
• Deployable via Twilio Voice or WhatsApp

Goals

• Serve local languages like Swahili, Luo, Kikuyu, Somali
• Provide answers about IDs, licenses, schools, etc.
• Log anonymized usage metrics

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2. African News Summarizer and Bias Detector

Problem

News often contains bias and lacks multilingual accessibility.

Solution

Train a summarizer + bias detector:

• Fine-tune T5 or Falcon on local news corpora
• Build React frontend to enter URLs and summarize
• Use Hugging Face Transformers + Langchain

Goals

• Summarize articles in 3 languages
• Classify for bias type: political, regional, tone
• Suggest counterpoints and sources

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3. Medical Imaging Assistant for Understaffed Clinics

Problem

Clinics lack radiologists to interpret X-rays and CT scans.

Solution

Build a diagnostic model using:

• YOLOv8 + fastai for object detection
• Train on open datasets (NIH ChestX-ray14, VinDr)
• Deploy via Streamlit or Gradio interface

Goals

• Identify common findings (TB, pneumonia, fractures)
• Allow image uploads from mobile
• Generate PDF reports