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Melckykaisha/README.md

Melckzedek Kirya Kaisha

Data Scientist · AI/ML Engineer · Developer · Applied Researcher

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About

I am a Data Science graduate from Meru University of Science and Technology, specialising in building intelligent systems that bridge research and production. My work spans the full AI/ML lifecycle — from model design and experimentation to deployment in scalable, real-world applications.

I work primarily across NLP, computer vision, time-series forecasting, generative AI, and recommender systems, and bring these into production using modern web technologies including TypeScript, Next.js, and Supabase.


Selected Projects

Project Description Stack
Ujuzi AI AI-powered career guidance platform with personalised recommendations Google Gemini · Next.js · Supabase
Kenya Weather Forecasting Deep learning models for multi-step weather prediction LSTM · GRU · ConvLSTM · Python
Movie Recommender System Hybrid recommendation engine using TF-IDF similarity Python · Scikit-learn · Pandas
Dharura AI Real-time AI emergency reporting and analytics platform Next.js · Supabase · Firebase
Emotion & Expression Recognition CNN and NLP-based multi-class emotion classification TensorFlow · OpenCV · Python
Synthetic Data Generation GAN and VAE implementations for tabular and image data synthesis TensorFlow · PyTorch · Python

Tech Stack.

AI & Data Science

Python TensorFlow Scikit-learn Pandas NumPy Jupyter Streamlit

Development & Deployment

TypeScript Next.js Node.js React Supabase Firebase


GitHub Stats

GitHub Stats    Top Languages


Current Focus

  • Generative AI and AI automation workflows
  • AI-driven decision support systems
  • Applied machine learning research
  • Building and deploying production-ready AI applications

Areas of Expertise

Machine Learning        ████████████████████  Advanced
Deep Learning           ████████████████░░░░  Proficient
Natural Language Proc.  ███████████████░░░░░  Proficient
Computer Vision         ████████████░░░░░░░░  Intermediate
Generative AI           ████████████████░░░░  Proficient
Time-Series Analysis    █████████████████░░░  Advanced
Full-Stack (AI Apps)    █████████████████░░░  Advanced

Open to research collaborations, AI consulting, and exciting engineering roles.

Email me

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  1. Movie_recommender_system Movie_recommender_system Public

    A collaborative mini-project that implements a **content-based recommender system** for movies. The system uses **TF-IDF vectorization** (and optionally embeddings) to build item profiles from movi…

    Jupyter Notebook 2

  2. image_clasisifier_algorithm image_clasisifier_algorithm Public

    This is a simple web application that allows users to upload an image and get a prediction from a trained image classification model based on the CIFAR-10 dataset.

    Jupyter Notebook 1

  3. Facial_Expression_Recognition Facial_Expression_Recognition Public

    🧠 Facial Expression Recognition CNN Model This project implements a Convolutional Neural Network (CNN) for automatic facial expression recognition using the FER-2013 dataset. The model classifies f…

    Jupyter Notebook 2

  4. synthetic-data-generation-demo synthetic-data-generation-demo Public

    Interactive demonstration of synthetic data generation using GANs and VAEs with statistical comparison

    JavaScript 4

  5. Dharura_Ai Dharura_Ai Public

    Real-time AI-powered emergency reporting system for Kenya. Citizens geo-tag incidents, an AI risk engine scores severity, and responders get live WebSocket alerts via a command dashboard. Built wit…

    TypeScript 3

  6. Weather_Forcust_Kenya_DL_Models_Auth Weather_Forcust_Kenya_DL_Models_Auth Public

    Deep learning system for hyper-local weather forecasting across all 47 Kenya counties. Trains and compares LSTM, GRU & ConvLSTM models on 10 years of historical meteorological data. Interactive 7-d…

    Python 1