Faith Munuhe

Professional Summary

Experienced AI/ML Engineer and Backend Developer specializing in intelligent automation, chatbot systems, and scalable backend solutions. Passionate about leveraging data science, machine learning, and natural language processing to deliver innovative, user-centric applications and IoT integrations.

• Strong foundation in AI/ML, data analysis, and software engineering.
• Proven ability to design and deploy AI-driven systems for real-time decision-making.
• Skilled in building robust backend architectures and seamless user experiences.

Technical Skills

Proficient in a broad range of technologies and tools across software development, AI, and data science.

• Languages: Python, JavaScript, PHP, SQL
• Frameworks & Libraries: Django, Node.js, Streamlit, React
• AI/ML Tools: scikit-learn, TensorFlow, Hugging Face, LangChain, OpenAI APIs
• Data Analysis: Pandas, Seaborn, Matplotlib, Pinecone, FAISS
• Databases: MySQL, PostgreSQL
• Concepts: Natural Language Processing, Forecasting, Document-Aware Chatbots, Predictive Analytics

Certifications & Projects

Completed key certifications and led impactful projects demonstrating strong skills in machine learning, data analysis, and AI-driven applications.

• Machine Learning with Python (freeCodeCamp): Supervised and unsupervised learning, SVMs, clustering.
• Data Analysis with Python (freeCodeCamp): Exploratory data analysis, visualization, and forecasting.
• Supermarket Sales Forecasting: End-to-end time series analysis with actionable insights.
• Voice Assistant for IoT Scent Devices: Integrated speech-to-text, text-to-speech, and real-time device control.
• LangChain Document-Aware Chatbot: Enabled querying of DOCX, PDF, and image documents with Pinecone vector store and OpenAI models.

Lead AI/ML Engineer @ BeeMultiscents

2025 - Present

Pioneering intelligent automation in scent and fragrance delivery systems.

• Designed intelligent scent blending algorithms responsive to user preferences and environmental factors.
• Built predictive models for fragrance usage and automated replenishment workflows.
• Developed scalable Django APIs for AI/ML integration with IoT devices.
• Integrated sensor fusion for adaptive fragrance delivery and context-aware user interaction.
• Created anomaly detection systems for device diagnostics and scent quality assurance.

Lead Software Developer (Final Year Project) @ Mount Kenya University

2024 – 2025

Developed a full-stack Timetable Management System with an integrated AI-powered chatbot for automated scheduling queries and real-time communication.

• Built a role-based web system using PHP and MySQL managing university timetables with real-time user access for Timetablers, Lecturers, and Students.
• Created a custom AI chatbot to assist users with scheduling queries, class info, and live updates—improving usability and reducing support workload.
• Engineered intelligent conflict resolution features for overlapping lectures and dynamic schedule adjustments.
• Led backend and frontend development including database schema design, secure authentication, and responsive UI implementation.
• Integrated session management, notifications, and user dashboards to streamline academic planning across departments.