Implemented Azure data solutions for clients, involving database migration to Azure SQL, data analytics using Microsoft Fabric, and reporting in Power BI, alongside client training delivery, discovery sessions, and technical proposal preparation for data modernization projects.

Participated in a mentored capstone project as part of the Global Precipitation Measurement (GPM) mentorship program; investigated the precipitation climatology over Africa using NASA’s IMERG product.

Developed an interactive visualization and plotting tool for an open-source Python library for assisting in teaching mass transfer and thermodynamics.

Analyzed time-series sea surface height data to assess NASA’s ECCO model accuracy against tidal gauge observations during Hurricane Maria; co-authored a peer-reviewed publication on our findings.

Designed and programmed a land beacon prototype equipped with vibration sensing to monitor activity and send alerts, featuring additional functionalities such as GPS, orientation, tilt, and touch-sensing.

Mapped university building floors using LiDAR to generate point cloud maps, and compared them to actual floor plans to assess the accuracy at the Advanced Control Systems Lab.

Designed a tracking device prototype for livestock monitoring, while executing full-cycle PCB development from prototyping through post-production assembly, testing, and documentation for various engineering applications.

Completed intensive STEM training on real-world problem-solving and collaborative engineering, applying the skills acquired to design a power module for an emergency services mobile workstation.

Developed computational geometry solutions including hierarchical multigrid solvers for mesh analysis, isogeometric modeling for engineering applications, and a geometric deep learning model for unsupervised 3D symmetry detection.

Designed and delivered Arduino programming and remote drone flying training to primary school students as a certified microdrone instructor. Conducted feasibility research on materials for airship design.

Led a distributed team of consultants across multiple continents to deliver a smart home inverter design project; defined project scope, set up a milestone tracking system, and provided regular updates to program organizers.

Collected FMCG pricing data using Survey CTO across retail shops in Nairobi; findings informed go-to-market strategy and supported regional market expansion.

Established communication with sensors using LoRaWAN, MQTT, Node-RED, and IFTTT; set up gateways to monitor sensors on The Things Network (TTN) and decoded sensor payloads; learnt MicroPython programming using ESP32 microcontrollers.