EagleSight
Fleet logistics & diagnostics engine
VRPTW as MIP, solved with Google OR-Tools
- Python
- OR-Tools
- MIP
Systems Engineer & Full-Stack Architect
I build systems that have to obey physics as well as a spec — routing engines, telemetry pipelines and agent networks whose correctness you can measure rather than argue about.
Neo4j and Pandas pipeline, two hours down to ninety seconds
PeepalyticsHandling Agricultural Materials, B.Sc Agricultural & Environmental Engineering
Obafemi Awolowo UniversityDepartment of Agricultural & Environmental Engineering
Class of 2025Polyglot estate: Postgres, Neo4j, vector and time-series stores
PeepalyticsMy training is in agricultural and environmental engineering: thermodynamics, fluid mechanics, machine design, the rheology of biological materials. That is where I learned to distrust a claim until it carries a number and a method. I graduated top of my department with First Class Honours.
For six years I have been applying the same discipline in software. At Peepalytics I architected the ETL infrastructure on Airflow and Kafka, took a Neo4j and Pandas workload from two hours to ninety seconds, and now lead the technical roadmap for our RAG and multi-agent systems on AWS. Before that I shipped frontend platforms, IAM services and high-traffic Django backends across four teams.
The two halves meet in my project work. EagleSight solves vehicle routing with mixed-integer programming, then predicts engine failure from a fluid-mechanics model of live telemetry. Copernican integrates orbital mechanics against NASA's live EONET feed. Locus coordinates seven specialised agents to plan against real-world constraints. Operations research on one side, production engineering on the other.
I am looking for two things: a research group working on perception and autonomy for machines that operate in the physical world, and software work where optimisation and reliability actually matter. I am ready to relocate for either.
A routing engine that also predicts engine failure, seven agents planning together, and a solar system running on live NASA data.
Fleet logistics & diagnostics engine
VRPTW as MIP, solved with Google OR-Tools
Interactive 3D cutaways of farm machinery
66 scenes across 12 tractor and implement systems
Distributed multi-agent routing system
Seven specialised agents under one orchestrator
Six years across data infrastructure, applied AI and frontend platforms — remote throughout, mostly alongside a full engineering degree.
Full-Stack Software & Infrastructure Engineer (Lead)
Also credited as founding engineer
Frontend Engineer
Full-Stack Engineer
Frontend Engineer, Intern
Technical Instructor & Mentor
Build logs for the systems above — what the architecture was, and where it fought back.
Bridging scientific accuracy and browser performance: orbital integration, sunlight dynamics and a live natural-hazard feed in Three.js.
Read →Dec 20254 minSolving vehicle routing problems with time windows, and predicting engine failure from telemetry before it happens.
Read →Nov 202512 minHow seven specialised agents divide one planning problem, and what breaks when you let them talk to each other.
Read →Dec 202514 minArchitecture and development notes on an atmospheric reading experience with an AI companion.
Read →Backend, data platform and applied AI roles. I can relocate.
Doctoral or thesis-based master's positions in robotics, perception and autonomy, for 2027 entry.