Welcome to my GitHub! I'm a passionate Full-Stack Developer and Machine Learning Enthusiast with a keen interest in building impactful applications that solve real-world problems. I love exploring new technologies, contributing to open-source projects, and collaborating with fellow developers.
- 🤖 Machine Learning & AI Enthusiast - exploring NLP, computer vision, and audio processing
- 💻 Full-Stack Developer with expertise in ASP.NET Core, Python, and JavaScript/TypeScript
- 🔧 Problem Solver - Passionate about creating scalable, efficient solutions
- 📚 Lifelong Learner - Constantly exploring emerging technologies and best practices
- 🌍 Based in Kenya - Contributing to the global tech community
I'm driven by curiosity and a passion for writing clean, maintainable code. Whether it's building web applications, deploying ML models, or experimenting with cutting-edge technologies, I'm always eager to take on new challenges.
Retrieval Augmented Generation Engine
A web-based RAG application built with Streamlit that performs intelligent retrieval and generation on arXiv articles focused on Software Engineering and Programming Language topics.
Key Features:
- 📄 Document retrieval from PostgreSQL database
- 🧠 LLM-powered response generation
- ⚙️ Customizable document retrieval parameters
- 🎛️ Adjustable token size for generation
- 🔍 Semantic document matching using embeddings
Tech Stack: Streamlit, Python, LangChain, PostgreSQL, Sentence Transformers
View Repository | Try Live Demo
Audio Classification using Wav2Vec 2.0
Implemented state-of-the-art audio classification using Hugging Face Transformers, focusing on Swahili language audio processing.
Key Features:
- 🎤 Wav2Vec 2.0 model fine-tuning
- 🗣️ Speech command recognition
- 📊 Deep learning on audio signals
- 🏆 Achieves state-of-the-art results on keyword spotting
Tech Stack: Python, Hugging Face Transformers, TensorFlow, Wav2Vec 2.0
3D CNN for Video Action Recognition
Deep learning project implementing 3D Convolutional Neural Networks for video recognition and action classification tasks.
Key Features:
- 🎬 3D CNN architecture implementation
- 📹 Video action recognition
- 🧠 Deep learning with Keras/TensorFlow
- 📊 MNIST 3D dataset handling
Tech Stack: Python, TensorFlow, Keras, Deep Learning
Comprehensive Machine Learning Projects
A collection of diverse machine learning projects including RAG implementations, embeddings, and vector database work.
Highlights:
- 🔍 FAISS vector indexing and embeddings
- 🧬 RAG pipeline implementations
- 📚 Document embeddings and semantic search
- 🤖 LLM integration projects
Tech Stack: Python, LangChain, FAISS, Sentence Transformers, ChromaDB
Iris Dataset ML Model Deployment
A practical guide to deploying machine learning models using Streamlit, featuring an interactive Iris dataset classifier.
Key Features:
- 🎨 Interactive web interface
- 📊 Real-time model predictions
- 📈 Feature input and visualization
- 🚀 Production-ready deployment
Tech Stack: Streamlit, Python, Machine Learning
Modern CSS Framework Exploration
A repository dedicated to learning and exploring Tailwind CSS, a utility-first CSS framework.
Tech Stack: Tailwind CSS, HTML, JavaScript
Hospital Management System for Sickle Cell Disease Management
A comprehensive web application designed to streamline healthcare management specifically for patients with sickle cell disease.
Key Features:
- 📅 Automated appointment scheduling and management
- 👥 Role-based dashboards (Patients, Doctors, Administrators)
- 📚 Integrated educational blog with health resources
- 🔒 Robust security with RBAC (Role-Based Access Control)
- 📊 Patient health record management
- 🔐 Secure login and user authentication
Tech Stack: ASP.NET Core MVC, C#, JavaScript, HTML, CSS, Bootstrap, SQL Server, MongoDB
Status: Active Development | ⭐ 1 Star
Learning Resource: ASP.NET Core Development
A comprehensive learning repository with ASP.NET core examples and tutorials for building web applications.
Tech Stack: ASP.NET Core, C#, .NET Framework
Backend-as-a-Service with Supabase
Learning and exploration of Supabase for building modern applications with PostgreSQL backend and authentication.
Key Features:
- 🔐 User authentication workflows
- 📦 Database operations
- 🚀 Rapid backend development
Tech Stack: Supabase, Python, PostgreSQL
Advanced Keras & TensorFlow Learnings
A collection of projects from DataCamp deep learning skill track, covering advanced neural network architectures.
Tech Stack: Python, Keras, TensorFlow, Deep Learning
- ✅ Full-Stack Development - From backend architecture to responsive frontends
- ✅ Machine Learning - NLP, Computer Vision, Audio Processing
- ✅ Problem Solving - Breaking down complex problems into manageable solutions
- ✅ Code Quality - Writing clean, maintainable, and well-documented code
- ✅ Continuous Learning - Staying updated with emerging technologies and best practices
- ✅ Collaboration - Experienced in working with diverse teams and open-source communities
- 🔍 Advanced NLP - Fine-tuning large language models and prompt engineering
- 🎙️ Audio AI - Speech processing and audio understanding
- 🏥 Healthcare Tech - Leveraging AI for medical applications
- 📡 RAG Systems - Building intelligent retrieval-augmented generation pipelines
- 🚀 Production ML - Deploying and scaling ML models in production
- 🤝 Open Source - Contributing to impactful open-source projects
I'm always interested in:
- 💬 Collaborating on interesting projects
- 🔗 Networking with fellow developers and ML enthusiasts
- 📧 Discussing ideas and solutions
- 🚀 Contributing to open-source initiatives
Feel free to reach out:
- 📧 Email: alvinkihato@gmail.com
- 💼 LinkedIn: Add your LinkedIn
- 🐦 Twitter/X: @AlvinKimata (if available)
- 🌐 Portfolio: (Add your portfolio link)
"Code is not just about functionality; it's about creating solutions that are scalable, maintainable, and accessible to all."
I believe in:
- Writing code that others can understand and build upon
- Solving problems with simplicity and efficiency
- Continuous improvement and learning from the community
- Building products that have meaningful impact