Software Engineer with over 4 years of hands-on experience building production-grade, cloud-native AI and automation systems. Experienced in designing intelligent agents, optimizing model performance, and integrating automation workflows at scale. Published ML researcher with international conference presentations and a strong engineering foundation that bridges AI, systems design and real-world product delivery.
- Capstone Project (Rank 1/18): Delta Laser-Weeding Robot with computer vision and YOLOv11
- Coursework: Calculus 1-4, Advanced Robotics, Differential Equations, Computer Science
- Built NLP models using Hugging Face Transformers (BERT) for sentiment analysis
- Hackathon Winner: "Effects of COVID-19 vis-à-vis Mental Health"
- Developed production-grade LLM integrations including RAG-powered analytics engine using FAISS and Pinecone
- Built AI agent development platform enabling secure deployment of multi-agent LLM workflows to embedded IoT systems
- Fine-tuned Gemma-7B using LoRA, PEFT, and quantization for cybersecurity Q&A
- Collaborated with globally distributed engineering teams on LLMOps and secure model integration
- Engineered AI-powered backend services for education platforms at national scale
- Led design and deployment of secure LLM integrations ensuring compliance with governance and data protection
- Built and validated multiple proof-of-concept AI services with optimized model pipelines
Authors: Samwel Waweru (Lead Author), Ray Njoroge
Novel approach to real-time weed detection using optimized YOLOv11 models on resource-constrained edge devices for precision agriculture applications.
Authors: Jackson Mutembei, Samwel Waweru (Contributor)
Drone-based monitoring system for early fire detection and biodiversity conservation in Kenyan wildlife areas.
