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
PeepalyticsB.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 need visa sponsorship and I am ready to move.
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
Distributed multi-agent routing system
Seven specialised agents under one orchestrator
Solar system & Earth simulator
Keplerian orbital integration, sunlight dynamics
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 need sponsorship and I can relocate.
Doctoral or thesis-based master's positions in robotics, perception and autonomy, for 2027 entry.