Open to opportunities

joseph mwangi

@josephmwangi2

Message

Self-taught Machine Learning Engineer with real-world AI experience.

Kenya

Message

What I'm looking for

I'm looking for a role that fosters innovation and collaboration, where I can leverage my skills in machine learning and data analysis to drive impactful solutions.

I'm a former chemistry student turned self-taught Machine Learning Engineer with hands-on experience building real-world AI systems, from RAG chatbots to predictive models. My journey has been fueled by a dedication to learning, building, and making AI useful for everyday people. I thrive on solving real problems with technology and have successfully spearheaded projects that enhance customer engagement and predictive accuracy.

At Brain.AI, I led the development and deployment of Retrieval-Augmented Generation (RAG) chatbots, achieving a remarkable 40% improvement in customer interaction satisfaction ratings. My role at Kasley Ltd as a Junior Data Analyst allowed me to develop machine learning algorithms that significantly improved predictive accuracy for housing prices. I take pride in collaborating with cross-functional teams to deploy innovative solutions that drive user engagement and satisfaction.

Experience

Work history, roles, and key accomplishments

Machine Learning & MLOps Engineer

Brain.AI

Jan 2024 - Present (1 year 6 months)

Spearheaded the development and deployment of Retrieval-Augmented Generation (RAG) chatbots, resulting in a 40% improvement in customer interaction satisfaction ratings and a reduction in response time by 60%, thereby enhancing overall client engagement metrics. Deployed LLM-based chatbot with RAG and vector DB backend for technical customer support, enabling contextual recall and 24/7 availabilit

Retrieval Augmented Generation (RAG)LLM Chatbot Development MLOps AI Systems Deployment Machine Learning AI

Junior Data Analyst

Kasley Ltd

Mar 2023 - Present (2 years 4 months)

Developed and fine-tuned machine learning algorithms that identified 15 critical features impacting housing prices, resulting in a model with predictive accuracy elevated by 25% over previous benchmarks. Spearheaded the integration of data collection methodologies from over 10 diverse sources, enhancing the predictive model for forecasting real estate prices and achieving a forecast accuracy impro