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ganji759/README.md
fastfetch-style summary: Pacifique Mugisho, AI/ML Engineer at NEOTEX.ai (Brussels, remote) and PyTorch Ambassador with the Linux Foundation, based in Kampala, Uganda. BSc Mechanical Engineering (Distinction). Works on multi-agent LLM systems, computer vision, geospatial ML and physics-informed neural networks, using Python, JavaScript, C/C++, PyTorch, ExecuTorch, LangGraph, vLLM, Transformers, FastAPI, Next.js, React, Docker, GCP, AWS, Kubernetes and MongoDB Atlas.

Building production AI systems from an engineering mindset


  • 💼 At NEOTEX.ai: shipping OpenAI/Gemini-powered features to production — from optimizing serving latency for the Halisi Livestock mobile app to building diffusion-based synthetic-data and vision-language pipelines.
  • 🔬 Published research: Development of a Thermoacoustically-Driven Thermoacoustic Refrigerator (2025, peer-reviewed): 70% Carnot efficiency with zero-GWP working gases, validated through computational modeling.
  • 🌍 Community: Organiser of Deep Learning IndabaX DRC, growing the AI ecosystem across Central & East Africa, and contributing to the PyTorch/ExecuTorch open-source ecosystem.
  • 🧠 Currently exploring: agentic architectures, on-device inference with ExecuTorch, and satellite-imagery ML for climate resilience.

🚀 Featured Projects

Project What it does Stack
HERON: job-ai-screener Hiring Evaluation & Ranking for Optimized Networks. AI hiring platform screening 500+ resumes/minute across 5 weighted dimensions; cut hiring from 2 weeks to 1 day. Live demo Next.js · Fastify · Gemini · MongoDB Atlas · Redis/BullMQ · MCP
Shamba AI: Smartagro Multilingual agricultural advisory for East African smallholders: photograph a sick crop, get instant diagnosis + local-language advice. Gemini · Vertex AI · Cloud Vision · Firebase
Flood Prediction from Satellite Imagery Segmentation ensemble (ResNet, DenseNet, ViT) on Sentinel-1/2 imagery for Kinshasa; 95%+ flood-detection accuracy. Built for an IndabaX DRC workshop. PyTorch · AWS S3 · QGIS · Sentinel
PINNs Workshop with PyTorch Hands-on workshop building a Physics-Informed Neural Network from scratch: autograd-based ODE residuals and physics + data loss balancing. PyTorch · autograd · NumPy

🌆 3D Contribution Graph

3D contribution graph

🤝 Let's connect

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