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. I've worked on projects that fine-tune LLMs, deploy end-to-end ML pipelines, and solve real problems with technology. Dedicated to learning, building, and making AI useful for everyday people. My experience spans developing and deploying transformer-based models, integrating cloud APIs, building internal tooling to improve AI system accuracy and relevance, designing CI/CD pipelines, and collaborating with cross-functional teams to align AI solutions with business objectives.

Joseph Waweru K

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. I've worked on projects that fine-tune LLMs, deploy end-to-end ML pipelines, and solve real problems with technology. Dedicated to learning, building, and making AI useful for everyday people. My experience spans developing and deploying transformer-based models, integrating cloud APIs, building internal tooling to improve AI system accuracy and relevance, designing CI/CD pipelines, and collaborating with cross-functional teams to align AI solutions with business objectives.

Available to hire

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. I’ve worked on projects that fine-tune LLMs, deploy end-to-end ML pipelines, and solve real problems with technology. Dedicated to learning, building, and making AI useful for everyday people.

My experience spans developing and deploying transformer-based models, integrating cloud APIs, building internal tooling to improve AI system accuracy and relevance, designing CI/CD pipelines, and collaborating with cross-functional teams to align AI solutions with business objectives.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate

Language

English
Fluent
Swahili
Fluent

Work Experience

Machine Learning & MLOps Engineer at Brain.AI
December 1, 2024 - August 14, 2025
Developed and deployed multiple LLM-powered RAG chatbots for technical customer support using LangChain, Hugging Face, and vector databases (FAISS, Pinecone). Fine-tuned transformer-based models (LLaMA 2, Mistral) for domain-specific tasks, improving response accuracy by 35%. Integrated OpenAI APIs for multi-turn conversation handling and sentiment-aware responses. Built internal tooling for prompt engineering, retriever tuning, and evaluation, reducing hallucinations by 25% and boosting relevance scores by 40%. Designed CI/CD pipelines for model deployment using FastAPI, Docker, and GitHub Actions ensuring 99.9% uptime. Collaborated with cross-functional teams to translate business objectives into scalable LLM workflows.
Junior Data Analyst (Contract) at Redfin (US Real Estate Company)
November 1, 2023 - August 14, 2025
Built predictive models to estimate property prices using XGBoost and ensemble methods, increasing pricing accuracy by 25%. Identified 15+ key real estate features using feature importance and SHAP values for explainability. Consolidated and cleaned real estate data from over 10 sources (MLS, Zillow, internal APIs) to create unified datasets. Collaborated with engineering teams to deploy a real-time property valuation tool using FastAPI and PostgreSQL, driving a 40% increase in user engagement. Produced visual dashboards and reports for internal teams using Plotly and Streamlit.

Education

BSc Industrial Chemistry at Jomo Kenyatta University
January 11, 2030 - December 1, 2022
BSc Computer Science at University of the People
January 11, 2023 - August 1, 2027

Qualifications

AWS Certified Machine Learning Engineer – Associate
March 25, 2025 - April 25, 2025

Industry Experience

Software & Internet, Real Estate & Construction, Financial Services
    paper Automated 60 seconds video generator

    Built a system that automatically generates short-form videos with captions, voiceovers, and stock visuals.

    Designed a pipeline combining Google Cloud Text-to-Speech, caption generation, and FFmpeg-based video assembly.

    Integrated Pexels API to fetch relevant stock content and automated editing with Python + FFmpeg.

    Delivered a streamlined UX where users input a title and receive ready-to-publish videos.