Aaron Ontoyin Yin

Electrical & Electronics Engineer | AI Engineer/Researcher

Electrical & Electronics Engineer
AI Engineer/Researcher

Get in Touch

About Me

I am an Artificial Intelligence Engineer and Researcher at Vela Partners, and an Electrical & Electronics Engineer. My passion lies in data science, machine learning, and especially deep learning, where I enjoy building intelligent systems that solve real-world problems.

I am also actively learning quantum computing and expanding my expertise in robotics. I thrive on exploring new technologies and applying them to innovative projects.

At the core, my journey is driven by curiosity, a love for learning, and a commitment to making a meaningful impact through technology.

Aaron Ontoyin Yin
Vadmin
Vadmin

Skills

  • Deep Learning
  • Data Science
  • Large Language Models
  • Software Engineering
  • Robotics
  • Electronics & IoT
  • Quantum Computing
Some Projects
GPTree Invention

GPTree is a general-purpose artificial intelligence algorithm designed to enhance decision-making through explainable, human-in-the-loop collaboration, eliminating the need for extensive feature engineering. When applied to venture capital (VC) investment analysis, GPTree significantly outperformed random selection by approximately 10x and expert benchmarks by about 3x. Fine-tuned for identifying outlier startups, it achieved an 18% success rate, underscoring its potential to transform early-stage investment strategies and drive superior fund performance.

View Published Paper
Think Reason Learn

Think Reason Learn is an open-source Python library that fuses large language models with interpretable machine learning to build transparent, production-grade decision systems for high-stakes domains.

Read the Docs
Data Transmission in Networks

Developed a Streamlit-based software tool to analyze and visualize data transmission in network environments, supporting PhD-level research. The application models the flow of information between network nodes and examines the factors influencing transmission efficiency, providing actionable insights for optimizing network performance.

View Project
Drillbotics Research Competition

As a key member of the UMaT team—Africa’s only representative in the 2023 Drillbotics international competition—I led the development of a Python package for simulating directional drilling. Our team also engineered an intuitive interface for real-time process monitoring, contributing to the team’s recognition at a global level.

View Project
Me!
I liked most
  • Deep Learning
  • Robotics
  • Space Exploration
  • Quantum Computing
My Hobbies
  • Watching Sci-fi Movies/Series
  • Listening to music
  • Playing games
Contact me for more!

Research Publications

GPTree: Towards Explainable Decision-Making via LLM-powered Decision Trees
Sichao Xiong, Yigit Ihlamur, Fuat Alican, Aaron Ontoyin Yin
arXiv, 2024
View Paper
GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification
Te Pei, Fuat Alican, Aaron Ontoyin Yin, Yigit Ihlamur
arXiv, 2025
View Paper
VCBench: Benchmarking LLMs in Venture Capital
Rick Chen, Joseph Ternasky, Afriyie Samuel Kwesi, Ben Griffin, Aaron Ontoyin Yin, Zakari Salifu, Kelvin Amoaba, Xianling Mu, Fuat Alican, Yigit Ihlamur
arXiv, 2025
View Paper
From Limited Data to Rare-event Prediction: LLM-powered Feature Engineering and Multi-model Learning in Venture Capital
Mihir Kumar, Aaron Ontoyin Yin, Yigit Ihlamur, et al.
arXiv, 2025
View Paper
Dual Approach in Autonomous Directional Drilling: Innovations with Drillbotics 1.5 Inch Automated RSS and Virtual Rig Platforms
C. Soilemezidis, Aaron Ontoyin Yin, et al.
OnePetro (SPE/IADC International Drilling Conference and Exhibition), 2025
View Paper
LLM-AR: LLM-powered Automated Reasoning Framework
Rick Chen, Joseph Ternasky, Aaron Ontoyin Yin, Xianling Mu, Fuat Alican, Yigit Ihlamur
arXiv, 2025
View Paper

You can tell a person is eager to be a better version of themselves when they are just ready to learn new skills you introduce them to. I have a trained many people in the Aaenics Community and Aaron is such a person who just needed an initial push. I am amazed at how far he has gone in tech and robotics, especially with Machine learning, and can only imagine where he will be in the next couple of years.

Kwaku Effa Adu-Ampomah
Electrical and Electronics Engineer
Founder, Aaenics Engineering LTD
Kwaku Effah

Aaron Ontoyin is a disciplined, organised and an analytical student. He is also a hard working and highly motivated individual. He has a pleasant personality, a team player and a result-oriented person.

Mensah Sitti
Lecturer, Department of Computer Science and Engineering
George Grant University of Mines and Technology
Mensah Sitti

I highly recommend Aaron Ontoyin. I had the pleasure of working with him on two significant projects: the drilling simulator automatic software for SPE and an opportunistic routing network project. Aaron's exceptional willingness to learn, adapt, and think critically in conjunction with programming played a pivotal role in the success of both endeavors. His dedication, problem-solving skills, and collaborative spirit make him an invaluable asset to any team. Aaron's commitment to excellence is truly commendable, and I have no doubt he will continue to excel in his future endeavors.

Eyram Dela kuwornu
Computer Scientist and Engineer, Trestle Group
Dela Eyram

I have known Aaron Ontoyin Yin for some time now. His exceptional skills and talent in programming have made him stand tall among his colleagues. He is very dedicated to his work. His love for computer programming has made me admire him very much. He is very knowledgeable about the Python programming language. Aaron is one of a kind. Contact Aaron for 100% work done.

Iven Aabaah
Lecturer, Department of Information Systems and Technology
C. K. Tedam University of Technology and Applied Sciences
Iven Aabaah

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