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 & Mechatronics
AI & Computer Vision
Programming & Tools
Education
PhD in Engineering (AI and Robotics)
University of Georgia, USA, 2016-2020
GPA: Magna Cum LaudeMSc in Ag and Biol Engineering (Precision Agriculture)
University of Florida, USA, 2012 - 2014
GPA: Summa Cum LaudeBSc in Comp Engineering & IT
University of Dar es Salaam, 2007 - 2011
GPA: Magna Cum LaudeProfessional Experience
Evolution from hands-on engineering to strategic technical leadership.
Senior Lecturer / Lead Engineer / Principal Investigator / HEET Digitalization Leader
March 2021 - PresentSokoine University of Agriculture (SUA) - Academic Information Management and Support Unit
Managerial Leadership: Working as HEET Digitalization Leader in a $32M World Bank HEET Project. Leading the team on improvement of Online Learning Tools, Upgrading of ICT Infrastructure (Core LAN system), Development of the cutting-edge Information System for Academic issues and Improving power backup.
- Strategic Leadership: Architected the technical roadmap for the new ELectronics and Precision Agriculture Lab. As PI of the Lab, I am spearheading the development of novel technologies for Agriculture and Environmental Health Systems
- Impact: Managed a cross-functional team of 3+ engineers and researchers. Hosting students from SUA and other 3 universities across Tanzania
Geospatial Research Scholar
Nov 2020 - Feb 2021US Department of Agriculture (USDA) and North Carolina State University (NCSU)
Spearheaded the development of AI-driven robotics for precision agriculture, focusing on multi-UGV coordination and real-time winter crops detection.
- Innovation: Developed a Modified Pure Pursuit algorithm improving path tracking by 30%.
- Tech Stack: ROS, Python, OpenCV, NVIDIA Jetson, SolidWorks.
Graduate Research Assistant
Aug 2016 - Nov 2020University of Georgia (UGA)
Developed autonomous cotton harvesting robots and yield estimation systems using deep learning (YOLO).
Assistant Lecturer
Nov 2013 - Aug 2016Sokoine University of Agriculture (SUA)
Tutorial Assistant
Nov 2010 - Nov 2013Sokoine University of Agriculture (SUA)
Electronics and Precision Agriculture Lab Innovations
Deep dive into key engineering contributions.
Autonomous Spraying Robot
RoboticsImplemented autonomous mission planning and execution for a multi-UGV fleet used in agricultural mapping and spraying operations (PX4/ArduPilot, ROS).
Real-Time Yield Estimation
AI / VisionDeveloped a deep learning pipeline using YOLO and SORT tracking to count cotton bolls in real-time video feeds with 95% accuracy.
Cotton Harvesting Robot
RoboticsDesigned the end-effector and manipulator control system for a redbot ground vehicle to autonomously harvest cotton bolls (MoveIt!, Kinematics).
Variable Rate Sprayer
IoT / EmbeddedCreated an IoT-enabled smart sprayer that adjusts chemical application based on real-time sensor data, reducing waste by 40% (ESP32, MQTT).
TanPredikt
AI / ForecastingPrediction of Rain-fed Maize Yield in Tanzania using Time-series Machine Learning Models and Satellite Data.
NAISS-GAI
Auto-IrrigationTowards a Nationwide Automatic Irrigation Scheduling System.
YEESI Lab Ecosystem
InnovationYouth Empowerment through Establishment of Social Innovation. Skilling for job creation.
SG-NAPI Seed Grant
Grant / ResearchTWAS-BMBF Seed Grant for high-level research projects in African countries.
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.