
LLM inference
2026 - PresentLLM Inference Engine ↗
Timi Owolabi
An LLM inference engine being built from scratch in C++20, starting with zero-copy tensor views, stride-based reshape, transpose and slicing, aligned storage, and arena allocation.
$ whoami_
ML Systems Engineer
I like to think of my work as an ML sandwich. The bottom bread is the runtime infrastructure that models run on, things like inference engines and kernels. The middle, whether that's PB&J, chicken, or whatever filling you like, is the model research, architecting, data prep, and training. The top bread is the cloud infrastructure that monitors and serves those models to millions of people, using tools like Google Cloud, AWS, and Kubernetes. In short, I'm interested in building smart ML models and making them go vroom!
// Lagos, Nigeria

I'm an ML Systems Engineer. Professionally, I work on the infrastructure behind production ML systems. I also spend a good portion of my time on embodied AI research. I lead the Embodied AI Research Group at ML Collective, where we work on generalist robot policies. I’m particularly interested in making generalist robot policies more capable and making them run blazing fast on onboard compute.
I graduated with a 4.85/5.0 GPA in Electrical Engineering from Covenant University. While at Covenant, I led the Robotics Research Team, working on reinforcement learning, vision-language-action models, and low-cost robotic systems. I also worked with Dr. Daniel Omeiza of the Oxford Robotics Institute on autonomous driving and graph neural networks.
I care deeply about teaching and mentorship. As president of AEIES, I founded a student mentorship program to help engineering students develop strong first-principles thinking. I taught machine learning to female engineering students of APWEN. I also founded The Classroom Project, an initiative supporting underserved students with classroom infrastructure and STEM learning resources.
// Languages
Python · C++ · SQL
// Machine Learning
PyTorch · TensorFlow · JAX · Hugging Face · MLflow · LangChain · FastAPI · LLM Inference · Model Compression · llama.cpp
// Robotics & Control
Reinforcement Learning · Control Theory · Computer Vision · ROS 2 · MuJoCo · CasADi · Simulation
// Cloud & MLOps
AWS · Google Cloud · Amazon SageMaker · Vertex AI · Docker · Kubernetes · Helm · Terraform · GitHub Actions · Argo CD · GitOps · Karpenter · OpenTelemetry · Grafana
professional experience
Jan 2026 - Present
Quidax Technologies
Lagos, Nigeria · Remote
Jan 2026 - Feb 2026
Trotta Technologies, Inc
San Francisco, California · Remote
Jul 2024 - Dec 2024
Scrella Technologies
Lagos, Nigeria
research experience
Jun 2026 - Present
ML Collective
Lagos, Nigeria
Mar 2024 - Sep 2024
WaySense · Oxford Robotics Institute
Oxford, United Kingdom · Remote

LLM inference
2026 - PresentTimi Owolabi
An LLM inference engine being built from scratch in C++20, starting with zero-copy tensor views, stride-based reshape, transpose and slicing, aligned storage, and arena allocation.

Bimanual manipulation
2025Timi Owolabi, Jesse-Paul Osemeke, Omeyimi Mustapha
A simulation replication of Stanford's ALOHA work, integrating OpenVLA-OFT as the vision-language-action policy for bimanual robotic manipulation.

Embedded flight control
2025Timi Owolabi
An ESP32 flight controller with modular sensor drivers, cascaded attitude/rate PID control, motor mixing, receiver decoding, telemetry, and GPS/barometer/IMU/compass sensor fusion.

Classical and learning-based control
2025Timi Owolabi, Chukwudumebi Chukwuma, Oladele Omogboyega, Ayokunle Awelewa
Quadrotor dynamics, trajectory planning, formation control, and collision avoidance evaluated across PID, LQR, MRAC, PPO, and MPC controllers in gym-pybullet-drones.

Accessible robotics
2025Timi Owolabi, Victor Oduopara, Ayotomiwa Oyewumi, Isaac Odejimi, Omeyimi Mustapha, Queendolin Etta, Chukwudumebi Chukwuma, Jomiloju Olubosi, Duru Somtochukwu
A fully open-source 6-DOF arm designed to match the reach, repeatability, and payload handling of a WidowX 250 S at approximately 2.5% of its cost.

Vision-based pick and place
2025Timi Owolabi, Omeyimi Mustapha, Ayotomiwa Oyewumi, Jomiloju Olubosi, Duru Somtochukwu
Custom MuJoCo and Gymnasium environments with staged PPO policies for reaching, grasping, and lifting, trained in JAX with reward shaping and randomized evaluation.

Mobile robot localization
2024Timi Owolabi
A TurtleBot simulated in Gazebo with PID motion control and Extended Kalman Filter localization, built on the ROS 2 ecosystem.

Real-time action recognition
2023Timi Owolabi, Nelson Elijah, Jesse-Paul Osemeke
An AI-powered camera system that tracks people, recognizes actions in real time, and sends emergency alerts for safety, security, and agricultural applications.

Medical computer vision
2023Timi Owolabi, Collins Olawale, Ikeoluwa Ibitoye
A U-Net application for segmenting necrotic, edema, and enhancing tumor regions in 3D MRI scans, served through FastAPI and Streamlit with 95% accuracy.

Semantic segmentation
2023Timi Owolabi
A U-Net model that identifies garment boundaries and segments clothing items from photographs of people.
publications & manuscripts
Timi Owolabi, Hikmah Olawore, Frances Adelakun, Ayotomiwa Oyewumi
SmolWAM is a compact latent world-action model for robotic manipulation, achieving 95.5% success on LIBERO while running 11× faster and using 3.2× less GPU memory than its Cosmos Policy teacher, while retaining future-scene prediction.

Ayokunle Awelewa, Kayode Ojo, Toluwa Abimbola-Oladejo, Timilehin Owolabi
A Fuzzy-PID controller for single- and double-tank systems that improves handling of nonlinearity, uncertainty, and multivariable disturbances over conventional PID control.

Tobiloba Emmanuel Somefun, Timilehin Owolabi, Omowunmi Mary Longe
A comparison of brute-force and gradient-descent optimization showing complementary trade-offs in accuracy, memory use, and convergence speed.

Olumayowa Idowu, Haoji Hu, Amusa Akinwale, Abolaji Ilori, Zou Xingze, Yubin Wang, Aiyedun Rasheed, Timilehin Owolabi
A hybrid radiological image enhancement method combining unsharp masking, logarithmic transformation, and adaptive histogram equalization.

Tobiloba Somefun, Adrian Egbewe Igho-Orere, Comfort Somefun, Nelson Elijah, Timilehin Owolabi, Samson Ongbali
A smart-home automation algorithm combining appliance scheduling with environmental sensing, achieving up to 68% energy savings in simulation.
Research Intern
Dec 2025 - PresentNational Centre for Artificial Intelligence and Robotics (NCAIR)
Developed AI-powered assistive glasses for visually impaired users.
Robotics Research Team Lead
Sep 2024 - Aug 2025Google Developer Groups on Campus
Led a simulation replication of Stanford's ALOHA bimanual manipulation paper.

Co-Founder
Dec 2024 - PresentEIEF
Hands-on engineering education and support for students with limited access to practical STEM learning.
President
Sep 2024 - Aug 2025Led a 20-member executive team serving more than 2,000 students across projects, competitions, and academic support.
Machine Learning Tutor
Aug 2023 - Oct 2023Association of Professional Women Engineers of Nigeria ↗
Taught foundational machine learning to more than 50 female engineering students.
Robotics Instructor
Aug 2023 - Oct 2023Project Cage Technologies
Taught robotics fundamentals and mentored students through complete hardware and software projects.
Team Lead
Sep 2024 - Aug 2025Robotics and Artificial Intelligence Innovators Network
Led applied deep-learning projects and organized model-building competitions for students.
Member
May 2021 - May 2023Enactus
Contributed engineering work to the national champion team's circular-economy and sustainable-agriculture projects.
Sustainability Intern
Aug 2023 - Oct 2023Combined robotics education with operational support for NGO partnerships aligned with a global youth-empowerment initiative.
Our paper “SmolWAM: A Latent World-Action Model for Robotic Manipulation on Edge Devices” was accepted to the NeurIPS 2026 Robotics World Modeling Workshop.
Muta reached the finals of the Africa Deep Tech Challenge.
The State of Robotics in Africa (SORA) report was released. Check it out here ↗
Our paper Fuzzy-PID Controller for Liquid Level Control of Tank Systems ↗ was published in the NIPES-Journal of Science and Technology.
Graduated with First Class Honours.
Gave the talk “From Campus to Career: Navigating the Engineering Journey” to the Redeemer's University Electrical Engineering Students Association.
Our paper Practical Trade-offs in Neural Network Optimization: Brute Force Search and Gradient Descent ↗ was accepted and published in Engineering Research Express.
Our paper Enhancing Radiological Imaging for Better Healthcare Outcomes Through High Performance Hybrid Approach ↗ was published in the ASRIC Journal on Engineering Sciences.
Gave the talk AI: Our Current Reality and Future Trajectory ↗ to the Nigerian Society of Engineers.
Received a finalist award in the Pan-African Robotics Competition.
Gave the talk Deep Learning: Neural Networks ↗ to the Association of Professional Women Engineers of Nigeria.
Our paper Energy Optimization Algorithm for Reducing Energy Consumption in a Smart Home ↗ was published at IEEE ICMEAS.
Received the Founder's Award for Best WASSCE Result at Wellspring College.
Graduated as valedictorian of the Department of Science at Wellspring College.
Collaborations I am interested in are: robotics and embodied AI research and machine learning systems projects.
timiiowolabi@gmail.com