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.

14+
Years Experience
$2.0M+
Portfolio Managed
35+
Publications
1st
Global Data Challenge funded by Amazon

Technical Stack Analysis

Comprehensive "Bit-to-Atom" Full Stack Competency.

Robotics & Control

๐Ÿค–ROS 1/2 ๐ŸงฉSMACH ๐ŸขGazebo Simulation ๐Ÿ‘๏ธVisual Servoing ๐Ÿ”„Non-Holonomic Control ๐Ÿ—บ๏ธMotion Planning ๐ŸŽฏModified Pure Pursuit ๐ŸŽ›๏ธPID Autotuning ๐ŸฆพInverse Kinematics ๐Ÿ“‰MPC ๐Ÿ“SLAM-based Navigation ๐Ÿ‘“RViz ๐Ÿ“ฆMoveIt! โ˜๏ธFuzzy Logic Control ๐Ÿ“Differential Kinematics ๐Ÿ“ˆTrajectory Optimization ๐ŸƒWhole-Body Control ๐ŸŽฎTeleoperation ๐Ÿ”ซPyBullet ๐ŸงฑMuJoCo

Machine Learning & Data

๐Ÿ”ฅPyTorch ๐Ÿ“ฑTensorFlow Lite ๐ŸŽ‹LightGBM ๐Ÿ“LinearSVR ๐Ÿ”Object Detection โณTime-Series Forecasting ๐ŸŽฎReinforcement Learning ๐ŸคEnsemble Models ๐ŸŒGoogle Earth Engine ๐Ÿง Keras ๐ŸงชScikit-learn ๐Ÿš€XGBoost ๐ŸŽจGenerative AI (GANs/VAEs) โš™๏ธMLOps โšกApache Spark โž•Data Augmentation ๐ŸŽฒBayesian Optimization ๐Ÿค–Transformers (BERT/GPT) ๐Ÿ”„Autoencoders ๐Ÿฆ™Ollama

Computer Vision

๐ŸงฟOpenCV โšกYOLO (v2-v8) ๐Ÿ—บ๏ธSLAM ๐ŸŸฉCUDA ๐Ÿš€TensorRT ๐ŸŒŠLucas-Kanade Optical Flow ๐Ÿ•ถ๏ธStereoscopic Depth (ZED) โœ‚๏ธSemantic Segmentation โ˜๏ธ3D Point Cloud ๐Ÿ”ขPointNet ๐ŸงŠOpen3D ๐Ÿ—๏ธMVS ๐Ÿ“ทVisual Odometry ๐Ÿ“Homography Estimation ๐ŸŽฏDeepSORT โ˜๏ธPCL ๐ŸŽจImage Inpainting ๐Ÿ”Super-Resolution ๐Ÿ“OCR โœ‚๏ธInstance Segmentation ๐Ÿ“Epipolar Geometry

Embedded & Hardware

๐ŸŸขNVIDIA Jetson โ™พ๏ธArduino (C++) ๐ŸšœHydrostatic Drive โœˆ๏ธPX4 Autopilot ๐ŸšArdupilot ๐Ÿ›ฐ๏ธRTK-GNSS ๐Ÿ“กLiDAR ๐Ÿ”—Multi-sensor Fusion ๐ŸฅงRaspberry Pi ๐Ÿ“ถESP32/8266 ๐ŸšŒCAN Bus โฑ๏ธRTOS ๐Ÿ”‹BLDC Control ๐Ÿ“ปLoRaWAN ๐ŸญPLC ๐ŸZigbee ๐Ÿ”ŒModbus ๐ŸงชHIL Testing ๐Ÿ”‰DSP

Languages

๐ŸPython (Adv) ๐Ÿ‡จC++ (Adv) ๐Ÿ“œJavaScript โ˜•Java ๐Ÿ”ขMATLAB ๐Ÿ“˜TypeScript ๐ŸนGo ๐Ÿฆ€Rust ๐ŸšBash ๐Ÿ—„๏ธSQL ๐Ÿ“ŠR ๐ŸฆSwift ๐Ÿค–Kotlin ๐Ÿง Prolog

Frameworks

๐Ÿ”ฅCodeIgniter โš›๏ธReact JS ๐Ÿ…ฐ๏ธAngular JS โ–ฒNext JS ๐Ÿ›๏ธLaravel โšกFastAPI ๐ŸƒSpring ๐ŸŒถ๏ธFlask ๐ŸŽธDjango ๐ŸฆNestJS ๐Ÿš‚Express.js ๐ŸŒฌ๏ธTailwind CSS ๐Ÿ…ฑ๏ธBootstrap ๐Ÿ’šVue.js

Professional Experience

Evolution from hands-on engineering to strategic technical leadership.

Principal Technical Program Manager

Sokoine University of Agriculture (HEET Project)
2021 - Present
  • 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

YEESI & EPA Labs
2021 - Present
  • 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

HYDROC GmbH
2022 - 2024
  • 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)

North Carolina State University
2020 - 2021
  • 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 AI

Time-series yield forecasting using Google Earth Engine and LightGBM.

Cotton Rover

Robotics

Full-stack robotic platform (ROS, C++, Python) with custom hydrostatic drive control.

Mwagilia App

Cloud AI

An 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

GenAI

Integrated 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

Embedded

Developed a low-cost, open-source precision planting mechanism for smallholder farmers, utilizing GPS and custom stepper motor control.

AquaSense IoT Monitoring

IoT

An 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

Robotics

Implemented 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 / Arch

Architected 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

Ph.D. in Engineering
University of Georgia, USA
2020

Focus: AI, Robotics, Autonomous Vehicles.

M.Sc. in Ag & Bio Engineering
University of Florida, USA
2014

Focus: Automation & Information Systems.

B.Sc. in Computer Engineering & IT
University of Dar es Salaam, Tanzania
2011
Visa Eligibility

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.