> whoami

Enock Katui

AI/ML Engineer @ DeepTrack.io

I build applied machine learning systems that ship — from deepfake detection models running in production, to forecasting dashboards and retrieval-augmented tools grounded in real data.

// projects

Deployed & shipping

retailsalesforecasting-7hhpf64vbawbngb9dpmvpv.streamlit.app

Retail Sales Forecasting

Forecasting US retail sales (FRED RSXFS series) with SARIMA, Prophet, and LSTM side by side, deployed as an interactive Streamlit dashboard.

SARIMAProphetLSTMStreamlit
launch app →
mentalhealthaiagent-mbmrndrirhxqgptaav54hb.streamlit.app

Mental Health AI Agent

A conversational AI agent that offers supportive, LLM-backed mental health check-ins and guidance, deployed with Streamlit.

LLM AgentPythonStreamlit
launch app →
flood-terrain-aware.vercel.app

Flood Terrain-Aware

Terrain-aware flood risk mapping — models elevation and drainage patterns to flag flood-susceptible zones.

GeospatialMLVercel
launch app →
bilingual-rag-chatbot...w7gpfry5cr7.streamlit.app

Bilingual RAG Chatbot — Constitution of Kenya

An English/Kiswahili retrieval-augmented chatbot that answers questions grounded directly in the text of the Constitution of Kenya.

RAGLangChainBilingual
launch app →

// experience & leadership

Where I spend my time

  1. current

    AI/ML Engineer — DeepTrack.io

    Building deepfake detection systems for a Nairobi-based company, including a Swin Transformer classification model, rPPG-based liveness detection for live calls, and cross-modal content provenance tooling.

  2. GDG AI/ML Lead — Dedan Kimathi University of Technology

    Leading AI/ML programming for Google Developer Groups on campus — talks, workshops, and applied ML projects for students.

  3. President — Data Science and AI Club (DSAIC)

    Running the university's Data Science and AI Club, growing membership and driving hands-on ML learning.

  4. Treasurer — IEEE Circuits and Systems Society, DeKUT Student Chapter

    Managing finances and supporting technical events for the IEEE CASS student branch chapter.

> contact

Let's talk

Open to collaboration opportunities in applied ML, computer vision, and NLP.