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Segun UmoruSEGUN UMORU

About Segun Umoru

Mathematics, production machine learning, and the engineering that bridges them.

I am a Senior AI/ML Engineer and Solutions Architect based in Lagos, Nigeria. I design and ship high-reliability intelligent systems across fintech, logistics, edtech, and the public sector — and I teach engineering teams how to build, operate, and maintain them.

Segun Umoru — Senior AI and Machine Learning Engineer
Segun Umoru · Lagos, Nigeria

The Narrative

From abstract proofs to systems that survive production.

My foundation began in pure and applied mathematics at the University of Ibadan. In mathematics, an argument either holds under every boundary condition or it fails entirely. When I transitioned into data science and software engineering, that instinct stayed with me: models are not magic, they are statistical functions that require strict boundary governance, robust feature engineering, and deterministic error handling.

Over the last five years, I have seen the generative AI landscape evolve from early predictive models to complex multi-agent architectures. Yet throughout this cycle, the fundamental reason systems fail in production remains unchanged: organizations build flashy prototypes directly on messy, unstructured data without the critical intermediate intelligence and governance layer.

My work centers on solving this exact bottleneck. Whether engineering a 99%+ accurate fraud detection pipeline handling Kafka event streams in Nigerian banking, deploying AWS Bedrock RAG assistants for county government queries with zero PII breaches, or architecting multi-agent investment monitors with durable execution in Temporal.io, I design systems with structural human-in-the-loop controls where a compromised or hallucinating model cannot cause catastrophic failure by design.

Academic Background

B.Sc. Mathematics

University of Ibadan, 2015

Professional Diploma in Education

Meadow Hall College of Education, 2022

Key Certifications

  • Oracle Certified OCI GenAI Professional 2024
  • Deep Agents with LangGraph & Multi-Agent Systems
  • DataCamp Professional Data Scientist
  • Machine Learning in Production (MLOps)

Career & Engagements

Where I have delivered impact.

Engineering leadership across enterprise clients, remote teams, and high-growth technology companies.

Senior AI/ML Ops Engineer

Jan 2026 – Present

Vertex Software Corps · Austin, TX (Remote)

Architected enterprise RAG chatbot systems (BUTLER) handling 5,000+ daily public inquiries with 99.9% uptime, migrating from serverless limits to direct AWS Bedrock + OpenSearch Serverless architectures with automated PII redaction and multi-language support.

AWS BedrockOpenSearch ServerlessClaude 3.5/4.5Titan 2PythonFastAPI

Senior AI/ML Engineer & Solutions Architect

Jun 2026 – Present

Blage Technologies Solutions · Remote

Led technical architecture for Tage (conversational trading assistant over WhatsApp) and TradeSense AI (agentic private-market investment assumption monitoring with Temporal.io durable execution and structural human-in-the-loop governance).

LangGraphTemporal.ioNestJSFastAPIPostgreSQL + pgvectorTwilio

Senior AI/ML Engineer

Jan 2026 – Jun 2026

Certin · Paris, France (Remote)

Built per-tenant IsolationForest anomaly detectors and GradientBoosting SLA delay prediction classifiers for logistics operations, driving a 10–20% reduction in manual issue resolution and surfacing operational bottlenecks 48 hours in advance.

IsolationForestGradientBoostingLangGraphFastAPICeleryRedis

AI Engineering Lead

May 2025 – Jan 2026

Optimus AI Labs · Toronto, Canada (Remote)

Directed engineering for four production AI platforms, including OMNIS (2D financial sentiment and fit scoring platform for Nigerian banking with 99%+ fraud detection accuracy) and EevAI (full-stack customer support with RAG and CRM escalation).

XGBoostKafkaLangChainPineconeFastAPIMLflow

Head of Data Science and Analytics

Apr 2024 – Jan 2026

3Signet Limited · Lagos, Nigeria

Led cross-functional teams building production predictive analytics pipelines and AI-powered public service accessibility chatbots using Gemini API function calling, FastAPI, FAISS, and automated Airflow data pipelines.

PyTorchTensorFlowGemini APIAirflowGreat ExpectationsPower BI

Generative AI Consultant & Lead Data Scientist

Dec 2023 – Present

GOMYCODE · Lagos, Nigeria

Designed and delivered industry-grade training and project implementations in fraud classification, computer vision, time-series forecasting, and LLM orchestration, helping train engineering talent across Africa.

Scikit-learnXGBoostDeep LearningStreamlitGCP

Recommendations

What colleagues and clients say.

Direct feedback on engineering rigor, training effectiveness, and collaborative problem-solving.

4.8 / 5.0

Average from 11 LinkedIn reviews

View on LinkedIn →
5.0
It went smooth. He is incredibly patient, insightful and always willing to go extra miles to help me better and think critically about my projects on data. He has this rare talent of breaking down complex data into clear and actionable steps making the project process exciting and smooth. He is never tired or dismissive whenever i ask questions. Always on standby to answer my questions.

Sylvia Ukpa

Data Analyst, Administrative Officer

Verified on LinkedIn
4.0
I had the pleasure of working with Segun, and I was thoroughly impressed by his professionalism, reliability, and depth of expertise. He consistently delivered high-quality work, communicated effectively, and demonstrated a strong commitment to achieving results. Segun approaches every task with clarity and precision, and his ability to solve problems efficiently made working with him a smooth and productive experience.

Ifeoma Augusta Adigwe

Business Process Analyst

Verified on LinkedIn
5.0
It was a great time with Mr Segun, a great teacher in Data Analytics and Data Science. Nice being one your students

Shola Dare

Co-Founder; Cisco Netacad Lead Instructor · YouTo Global / LearnMate / MTech Club

Verified on LinkedIn
5.0
I enjoyed working with Segun. He has helped upskill my knowledge in Excel, Python and PowerBi. I wholly recommend him.

Edwin Ajogun

Senior Programme Manager, Investment · Royal Academy of Engineering

Verified on LinkedIn

Beyond the Work

The values underneath the engineering.

Technical capability without grounding produces complexity for its own sake. The discipline I bring to engineering comes from deep-seated principles of stewardship, faith, community, and mentorship.

Integrity & Stewardship

Building systems that organizations rely on requires absolute truthfulness about what AI can and cannot do. I do not sell hype; I architect solutions that stand up to audit and reality.

Education as Leverage

With a formal background in education alongside mathematics, I believe knowledge transfer is the highest form of engineering leverage. A system nobody can operate is a liability.

Mentorship & Impact

Active commitment to expanding Africa's AI talent pipeline through the 3MTT initiative, Data Science Nigeria, GOMYCODE, and university hackathons.

Interested in collaborating on AI engineering or speaking engagements?

Get in touch