Clement Ndome

AI & Geospatial Systems Engineer

Building intelligent and decision support systems and solutions with Python, AI, and cutting-edge GIS technologies.

Featured Projects

Geospatial intelligence, AI systems, and data platforms

AI-powered RAG chatbot for KCAA regulations using Streamlit and LangChain

Smart Knowledge Assistant (RAG) for Aviation Regulations

Designed and deployed an internal knowledge assistant that answers complex questions from aviation regulations, SOPs, and PDFs with high accuracy. Implemented document auditing, structured chunking, vector search using ChromaDB, and controlled prompt strategies to prevent hallucinations. The system delivers grounded responses in 3–5 seconds, logs queries for evaluation, and exposes uncertainty instead of guessing, making it suitable for daily operational use.

Interactive GIS dashboard for AgriInsight showing farm plots and vegetation index analysis

AgriInsight — AI-Driven Agricultural Intelligence Platform

Built a production-grade agricultural intelligence platform for crop health monitoring and decision support using Django, PostGIS, and Google Earth Engine. Implemented automated vegetation analytics (NDVI, EVI) combined with rule-based and ML-driven agronomic insights to support yield optimization, early stress detection, and intervention planning. Designed to operate at regional scale with near–real-time satellite ingestion and efficient spatial querying.

Interactive WebGIS map of Kenya airports and airstrips using Django and Leaflet

Aviation Infrastructure Intelligence System (Kenya Airports & Airstrips)

Developed a national-scale aviation infrastructure intelligence system using Django, PostGIS, and Leaflet. The platform supports spatial analysis of airports and airstrips for accessibility assessment, infrastructure planning, and airspace-related decision-making. Built with optimized spatial indexing and query pipelines to efficiently handle country-wide datasets and complex spatial queries.

Flask-based WebGIS application for visualizing school locations in Kenya

Education Infrastructure Spatial Analytics Tool

Built a spatial analytics system to assess the distribution and accessibility of education infrastructure across Kenya using Flask, PostGIS, and Leaflet. The tool supports regional coverage analysis and planning insights, enabling stakeholders to identify spatial gaps and make evidence-based infrastructure decisions. Designed as a fast-deployable analytics solution for public-sector use cases.

Professional Experience

Designing and delivering production-grade geospatial and AI systems across aviation, environmental, and public-sector domains

GIS Developer

ForbSpace Inc., Kitale, Kenya

January 2025 – Present

  • Designed centralized aeronautical geospatial system using GIS Technologies
  • Built Django-based GIS systems for AIP data, reducing access time by 40%
  • Created market intelligence maps in ArcGIS Pro to identify customer hotspots for the ForbSpace Café, enabling data-driven local marketing and community engagement.
  • Conducted outreach and training on GIS and space applications

GIS Developer (Freelance)

Remote Work

March 2024 – December 2024

  • Developed WebGIS applications using Django + Leaflet, automating geoprocessing workflows
  • Fine-tuned deep learning models achieving 85% accuracy in land-cover predictions
  • Integrated geospatial APIs enhancing environmental research capabilities

GIS & Survey Intern

Survey of Kenya, Nairobi, Kenya

May 2023 – August 2023

  • Conducted cadastral surveys using RTK and AutoCAD, updating national plans and performing coordinate transformations (Cassini to UTM).
  • Supported digitization and spatial database management for improved land administration.

Technical Expertise

Building production-grade geospatial, AI-driven, and data-intensive systems end-to-end

GIS & Remote Sensing

Spatial analysis, geoprocessing, and automation (ArcGIS, QGIS) · Large-scale satellite analytics & time-series processing (Google Earth Engine) · Image preprocessing and classification (ENVI, ERDAS Imagine)

Backend & API Development

Python backend systems (Django, Flask, FastAPI) · RESTful & async APIs for spatial and AI services · Spatial databases and query optimization (PostgreSQL/PostGIS)

WebGIS & Frontend

Interactive WebGIS and dashboards (Leaflet, Mapbox, OpenLayers) · Modern frontend frameworks for data-heavy applications (Next.js, Vue.js)

AI & Machine Learning

Applied ML for spatial and environmental analysis (Scikit-learn, TensorFlow, PyTorch) · Retrieval-Augmented Generation (RAG), LLM orchestration, and hallucination control · Embeddings, vector search, and evaluation workflows

Spatial Data & Databases

Spatial databases (PostGIS, SpatiaLite, Oracle Spatial) · Enterprise GIS data services (ArcSDE, GeoServer) · Vector databases for AI systems (ChromaDB)

DevOps & Cloud

Containerization and deployment (Docker) · Cloud platforms (AWS, GCP) · CI/CD pipelines, version control, and automation (Git, GitHub Actions)

Field Data Collection & Integration

Mobile field data collection, validation, and synchronization (ArcGIS Field Maps, Survey123, Kobo Collect, ODK)

Let’s Build Something That Matters

Available for high-impact geospatial, AI, and decision intelligence projects