Curriculum vitae — deniyi.link

Olaitan Lekan Adeniyi

Systems Engineer & Full-Stack Architect

Rev2026.09
DisciplineAgricultural & Environmental Engineering
DegreeFirst Class Honours
BasedIbadan, Nigeria
StatusOpen to offers

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.

Two readers, two documents
Software resumeAcademic CV
98.7%
Processing latency removed

Neo4j and Pandas pipeline, two hours down to ninety seconds

Peepalytics
91%
Top course score, First Class Honours

Handling Agricultural Materials, B.Sc Agricultural & Environmental Engineering

Obafemi Awolowo University
1stin cohort
Overall Best Graduating Student

Department of Agricultural & Environmental Engineering

Class of 2025
99.9%
Production service reliability

Polyglot estate: Postgres, Neo4j, vector and time-series stores

Peepalytics
Position

Two halves of one method

My 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.

What I am looking for

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.

Selected3 of 21

Three worth reading first

A routing engine that also predicts engine failure, seven agents planning together, and a solar system running on live NASA data.

EagleSight

Fleet logistics & diagnostics engine

VRPTW as MIP, solved with Google OR-Tools

  • Python
  • OR-Tools
  • MIP

Solidify

Interactive 3D cutaways of farm machinery

66 scenes across 12 tractor and implement systems

  • TypeScript
  • React Three Fiber
  • three.js

Locus

Distributed multi-agent routing system

Seven specialised agents under one orchestrator

  • Python
  • Google ADK
  • Multi-agent
See all 21 →
Log2020 — present

Where the work happened

Six years across data infrastructure, applied AI and frontend platforms — remote throughout, mostly alongside a full engineering degree.

  1. Jun 2024PresentRemote

    PeepalyticsAI · United States

    Full-Stack Software & Infrastructure Engineer (Lead)

    Also credited as founding engineer

    98.7%retrieval latency cut
    60xfaster ETL
    50%lower cloud spend
    • Architected high-performance API workflows in Django and FastAPI, serving complex data visualisations to Next.js frontends.
    • Engineered the ETL infrastructure on Apache Airflow and Kafka, achieving a 60x reduction in processing time and cutting memory overhead.
    • Directed the technical roadmap for AI systems, deploying RAG architectures and multi-agent workflows over the Model Context Protocol that reduced data retrieval latency by 98.7%.
    • Optimised cloud expenditure with usage-based tiering on AWS, halving monthly deployment costs.
    • Mentored a team of engineers in distributed systems patterns, holding 99.9% reliability across a polyglot database environment.
    • Python
    • Django
    • FastAPI
    • Airflow
    • Kafka
    • Neo4j
    • PostgreSQL
    • AWS Bedrock
    • SageMaker
    • Docker
  2. Mar 2023Oct 2024Remote

    Stealth NetworkWeb3

    Frontend Engineer

    30%faster feature delivery
    • Architected a reusable UI component library in React and TypeScript, reducing development time for new features by 30%.
    • Optimised frontend asset loading strategies, improving First Contentful Paint across the platform.
    • React
    • TypeScript
    • Design systems
    • Web performance
  3. Mar 2022Sep 2023Remote

    Stitch Technologies

    Full-Stack Engineer

    • Designed a high-traffic sweepstakes engine in Django, tuning database queries to absorb concurrent user spikes.
    • Implemented secure identity and access management with Flask, meeting data privacy audit requirements.
    • Containerised microservices with Docker and Kubernetes, enabling rapid CI/CD cycles on AWS.
    • Django
    • Flask
    • Kubernetes
    • Docker
    • Celery
    • Redis
  4. Nov 2021May 2022Remote

    Tribinnov Africa

    Frontend Engineer, Intern

    • Developed responsive consumer-facing interfaces in React, translating UX designs into interactive applications.
    • Engineered modular, reusable frontend components that improved codebase scalability.
    • Maintained platform stability through rigorous debugging and disciplined version control.
    • React
    • Redux
    • SCSS
    • Git
  5. Oct 2020Jul 2021Remote

    Majestik Ltd

    Technical Instructor & Mentor

    • Mentored students in C and Java, breaking down memory management, pointers and object-oriented design.
    • Taught database design in MySQL: schema normalisation, SQL optimisation and relational modelling.
    • Delivered a full-stack curriculum in Python and PHP, from syntax to working web applications.
    • C
    • Java
    • MySQL
    • Python
    • PHP
Notes4 published

Written up

Build logs for the systems above — what the architecture was, and where it fought back.

Dec 20257 min

Building the Copernican solar system and Earth simulator with live NASA EONET data

Bridging scientific accuracy and browser performance: orbital integration, sunlight dynamics and a live natural-hazard feed in Three.js.

Read →Dec 20254 min

Building EagleSight: a next-gen fleet management system

Solving vehicle routing problems with time windows, and predicting engine failure from telemetry before it happens.

Read →Nov 202512 min

Building Locus: a multi-agent AI travel assistant from scratch

How seven specialised agents divide one planning problem, and what breaks when you let them talk to each other.

Read →Dec 202514 min

Whisperer: building a horror story reader with Kiro

Architecture and development notes on an atmospheric reading experience with an AI companion.

Read →
All writing on Medium →
If you are hiring

Backend, data platform and applied AI roles.

  • Six years shipping production systems, remote across four teams
  • 98.7% latency reduction on the pipeline I architected
  • Python, Django, FastAPI, Airflow, Kafka, AWS, Kubernetes
Software resumeSee the engineering →
If you supervise research

Doctoral or thesis-based master's positions in robotics, perception and autonomy, for 2027 entry.

  • First Class Honours, top of the department
  • 91% in Handling Agricultural Materials; 87% in Thermodynamics
  • Three research tracks, each grounded in a system I have already built
Academic CVRead the proposal →
Either way, the fastest route is email: adeniyi.olaitanhector@yahoo.comTwo weeks notice