SAT

Hi, I'm Samuel Ajala

Machine Learning Engineer | Researcher | Robotics Engineer

About Me

Portrait of Samuel Ajala

I'm Samuel Ajala, a Robotics Engineer and Researcher transitioning from machine learning into building systems that adapt to dynamic conditions and resource-constrained environments.

I have a background in Electronics and Computer Engineering, and I worked as a Machine Learning Engineer. For a long time, I wanted to work in robotics, and I eventually found the area that matched that interest: Embodied AI and Robot Learning.

When I focus on resource-constrained environments, it is for two reasons. First, I like working on problems that most people overlook. Second, where I am from gives me a different perspective on engineering. Most technology is not built for our infrastructure or our reality, and that is where my drive comes from. I want to design systems that are efficient, practical, and useful in high-constraint environments.

I started in software engineering out of curiosity. Later, I thought I could build a SaaS tool to fund my hardware passion, which is how I ended up exploring software more deeply. I still have not built that SaaS, but the path taught me a lot.

On the community side, I have served as the Pioneer RAIN-INN lead for my school, AI Lead for the SPE LASU student chapter, and co-founded Space Clubs LASU. I took those roles because there was a gap and I wanted to help fill it.

Publications

2026

Building a Hybrid Computational Fluid Dynamics - Machine Learning Framework for Real-Time Pipeline Leak Detection in Oil and Gas Systems

KO Fodunrin, SA Ajala, EC Adekoya, DO Abejoye, SO Adebanjo

NAICE 2026

2026

Design of an Adaptive Machine Learning Framework for Predictive Maintenance in Electrified Vehicle Subsystems

SA Ajala, SA Animashaun, AK Olaleye

NAICE 2026

Technical Skills

Programming

Python, JavaScript, MATLAB

AI & ML

TensorFlow, Deep Learning, Reinforcement Learning, Computer Vision

Embedded Systems

ESP32, Raspberry Pi, Arduino

Robotics

ROS 2, Gazebo, URDF

Experience

Machine Learning Engineer

Feb 2025 — Present

DecisonSpaak Group

  • Optimised model deployments and configurations across AWS services, leading to 55% reduction in costs within one month.
  • Designed and implemented scalable backend services for Generative AI applications, deploying them to the cloud to ensure seamless integration and access for front-end platforms

Independent Researcher

Jul 2025 — Present

ML Collective

  • Developed perception modules for manipulation under clutter with reproducible experiment scripts.
  • Released open-source tooling used by collaborators for dataset collection.

Engineering Intern

Apr 2025 — Oct 2025

Innovia Labs

  • Engineered and designed electronic circuit layout for a drone
  • Built simulation-in-the-loop tests to catch regressions before hardware bring-up.

Education

Lagos State University

B.Sc in Electronics & Computer Engineering

Coursework: Embedded Systems, Digital Control Systems, Intro to Programming and Computation, Software Engineering, Probability

Government Senior Model College, Owutu

STEM focus with coursework in Physics & Mathematics

Courses: Computer Science, Mathematics, Physics, Chemistry

Workshops & Mentorships

Bootcamp | SPE LASU 30 Days of AI

Bootcamp | SPE LASU 30 Days of AI

News

Aug 2026
My Papers "Building a Hybrid Computational Fluid Dynamics - Machine Learning Framework for Real-Time Pipeline Leak Detection in Oil and Gas Systems " and "Design of an Adaptive Machine Learning Framework for Predictive Maintenance in Electrified Vehicle Subsystems " got accepted at NAICE Conference 2026
April 2026
Successfully organized a 30-day AI bootcamp through Society of Petroleum Engineers LASU Community.
Feb 2026
Poster paper "Asthwear: A Low-Cost Asthma Monitoring Wearable for Resource-Constrained Settings" got accepted and presented at the Africa Deep Tech Conference 2026.

Get in Touch

Interested in working together? Feel free to reach out for collaborations or opportunities!

Location
Yaba, Lagos, Nigeria
Availability
Open for opportunities