Bryium Onyancha

I am Bryium Onyancha

Software Engineer | Machine Learning Enthusiast

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Who am I ?

A Problem solver

I build dynamic web apps with React, Node.js, and Django, backed by clean APIs and database magic. On the mobile side, I’m fluent in Java, exploring Kotlin, and creating smooth cross-platform apps with React Native.

In the world of machine learning, I work with TensorFlow, JAX, and PyTorch, tackling Regression, Classification, Clustering, LLMs, LLVMs, and Audio Models. Whether it’s fine-tuning models or deploying them, I’m all about scalable, real-world solutions.

I containerize with Docker and test web apps with Selenium, ensuring everything runs like a dream in production. Fun Fact: I Google and research better than most developers (because even the best devs need a good search engine).

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My Skills

Web Development and Linux Proficiency

I have experience building responsive and dynamic web applications using modern technologies, with proficiency in both front-end and back-end development to ensure seamless integration and functionality. Strong Linux command-line skills further enhance efficiency in daily tasks.

My Stack Includes

  • HTML5
  • CSS / Tailwind CSS
  • JavaScript / Typescript
  • React / Next.js
  • Golang / Gin
  • Node.js
  • APIs
  • Python / Django
  • PostgreSQL / SQLite Databases
  • Redis
  • Devops
  • Linux
  • Git
  • Web Server configuration
  • Docker

Android Development

I also have experience with Android development, building efficient applications with a focus on performance and user experience.

My Skills Include

  • React Native
  • Java
  • Kotlin
  • Expo Framework
  • Firebase

Machine Learning

Additionally I have experience with machine learning, leveraging TensorFlow, JAX, and PyTorch to build and deploy scalable models for real-world applications.

They Include

  • Frameworks: TensorFlow, JAX, PyTorch
  • Techniques: Regression, Classification, Clustering
  • Models: LLMs (Large Language Models), LLVMs, Audio Models
  • Expertise: Fine-tuning models, Deployment, Scalable solutions
Visit my github

My Projects

KukuAfya Application

Kukuafya is an online application powered by advanced machine learning and image recognition, providing accurate diagnosis of chicken diseases and equipping farmers with effective health management solutions.

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Meditation Application

The Meditation App is a calming mobile application built with React Native and Expo that helps users manage stress and improve focus through guided meditation sessions. It features a clean and responsive UI with smooth tab navigation, audio playback with countdown timers, and an intuitive onboarding experience. Users can explore a variety of meditation options presented via FlatLists, enjoy immersive visuals using linear gradients, and easily navigate between screens. The app is optimized for performance and reusability, ensuring a relaxing and seamless user experience.

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Hura AI

Hura Chatbot is a conversational web application where users can interact with a chatbot to get responses and weather forecasts. The chatbot is designed to assist users with general inquiries, while the weather feature allows users to get real-time weather forecasts based on their location.

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Valentine Vibe

February, the month of love, reminds us that nothing is more precious than love itself. This project is a heartfelt way to ask that special someone, “Will you be my Valentine?” Dedicated to all the romantics out there, let's spread love and make this Valentine’s Day unforgettable! ❤️

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Virtual Cursor System

The Virtual Cursor is a Python-based hand-tracking system that allows users to control their computer cursor using gestures captured via webcam. By leveraging real-time computer vision and gesture recognition, it translates hand movements into mouse actions such as clicks and drags. The system is cross-platform, supports customizable gestures, and offers a touchless, intuitive way to interact with digital interfaces—ideal for accessibility solutions and hands-free control scenarios.

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F1 Chatbot

nextjs-f1gpt: A RAG-Powered Chatbot Built with LangChain.js and Next.js nextjs-f1gpt is a Retrieval-Augmented Generation (RAG) chatbot trained on your custom data. It leverages LangChain.js for conversational logic, OpenAI for AI-powered responses, and Next.js for seamless frontend and backend integration.

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Bryium?

Bryium is an intelligent, RAG-powered chatbot built with Flask for a robust backend framework. It integrates LangChain.js to handle conversational logic, while leveraging GeminiAPI for dynamic, AI-driven responses. The frontend is styled with pure CSS, ensuring seamless integration between the user interface and backend functionality.

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CareBuddy

CareBuddy is a full-stack web application that connects patients with healthcare providers through secure virtual consultations and streamlined appointment scheduling. Built with React on the frontend and Django REST Framework on the backend, it ensures a responsive user experience, real-time updates, and HIPAA-friendly data handling for modern digital healthcare needs.

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Inner-circle

This is a full-stack dating application built with Next.js 14, Prisma, NextAuth, Pusher, and Cloudinary. It supports real-time messaging, secure authentication, and dynamic profile management with image uploads. The app offers an engaging user interface and leverages server-side rendering and API routes for fast, scalable performance, delivering a modern and responsive dating experience.

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ImarketAfrica

IMarketAfrica is a comprehensive web platform designed to facilitate user interactions and transactions across various sectors within the African market. The system provides an inclusive environment for users to access essential services including banking, healthcare, hospitality, transport, and retail.

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Intrusion System

This Hybrid Intrusion Detection System (IDS) monitors network traffic in real-time by combining signature-based and anomaly-based detection techniques, including Isolation Forest for anomaly detection. It uses Scapy to capture packets, analyzes traffic patterns, and logs structured alerts with detailed metadata. Built for flexibility, the system supports custom detection rules, integration with external tools, and modular components for packet capture, threat detection, and alerting—all within a unified and efficient framework.

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