Dr. Kadeghe Goodluck Fue
Senior Robotics & Machine Learning Engineer
Full-Stack Autonomous Systems | Technical Lead | EB-1A Eligible
Visionary Full-Stack Physical AI Leader with 14+ years of architecting and deploying pioneering autonomous systems. I bridge the critical "bit-to-atom" gap, leading the design of custom mechatronic hardware (SolidWorks, Arduino) and optimizing real-time perception stacks (YOLO, Optical Flow) on edge devices (NVIDIA Jetson). Proven leadership managing $2M+ portfolios and winning international data science challenges.
Technical Stack Analysis
Comprehensive "Bit-to-Atom" Full Stack Competency.
Robotics & Control
Machine Learning & Data
Computer Vision
Embedded & Hardware
Languages
Frameworks
Professional Experience
Evolution from hands-on engineering to strategic technical leadership.
Principal Technical Program Manager
- Directing technical strategy for $2M+ World Bank-funded digital transformation initiative at Sokoine University of Agriculture.
- Managing a cross-functional team of 8 principal Data and systems engineers.
- Architecting HPC infrastructure and implementing DevOps/CI/CD pipelines that reduced deployment latency by 40%.
Lead Robotics Research Engineer
- Founded electronics and precision agriculture lab (YEESI) and secured $157k USDA/NIFA funding for Machine Vision Project.
- Developed offline Edge AI models (TensorFlow Lite) enabling real-time disease diagnosis.
- Engineered "TanPredikt" yield forecasting engine using Google Earth Engine and LightGBM.
- Spearheaded the spin-off AgriMfumo Limited (www.agrimfumo.co.tz) for soil testing electronics.
Lead Software Engineering Consultant
- Developed a geospatial database engine for Songwe River Basin Commission.
- Created Interactive Web Maps models for Flood Early Warning Systems.
Computer Vision Engineer (Research Scholar)
- Developed "PhenoCV-WeedCam," a semantic segmentation pipeline using OpenCV and PyTorch.
- Optimized algorithms for ground-based robotic sprayers to discriminate between crops and weeds under tight latency constraints.
Innovation Lab
Deep dive into key engineering contributions.
TanPredikt
Cloud AITime-series yield forecasting using Google Earth Engine and LightGBM.
Cotton Rover
RoboticsFull-stack robotic platform (ROS, C++, Python) with custom hydrostatic drive control.
Mwagilia App
Cloud AIAn app to schedule Irrigation using Satellite Imagery, advise on Fertilization using Drone Imagery, and a disease advisory system using LLM and CNN.
AkilimaTik Chat Engine
GenAIIntegrated into the Student Information System using FineTuned LLMs and RAGs to advise students and applicants on our university. Acts like a University Digital Representative.
Precision Planting System
EmbeddedDeveloped a low-cost, open-source precision planting mechanism for smallholder farmers, utilizing GPS and custom stepper motor control.
AquaSense IoT Monitoring
IoTAn IoT-based system for real-time water quality monitoring in aquaculture and small-scale irrigation, using low-power sensors and a cloud-based dashboard.
Agri-UGV Fleet Automation
RoboticsImplemented autonomous mission planning and execution for a multi-UGV fleet used in agricultural mapping and spraying operations (PX4/ArduPilot, Python).
Enterprise Service Bus (ESB)
Cloud / ArchArchitected and deployed an internal ESB for seamless, asynchronous data exchange between disparate institutional systems (ERP, SIS, Finance), significantly improving data integrity and reducing system integration overhead.
Education
Focus: AI, Robotics, Autonomous Vehicles.
Focus: Automation & Information Systems.
EB-1A Evidence (Extraordinary Ability)
Original Contribution
Invented a novel "Modified Pure Pursuit" control algorithm, cited by peer-reviewed papers and adopted as a benchmark.
Awards
Winner, Zindi "Outsmarting Outbreaks" Challenge, ranking 1st among 500+ global data scientists.
Judging Work
Reviewer for IEEE Robotics and Automation Letters (RA-L) and Computers in Agriculture.
Critical Role
Technical Lead for the $32M World Bank HEET Project at SUA.