Daniel Adeboye
@danieladeboye
I am a lead machine learning engineer specializing in scalable, reliable AI systems and formal verif
What I'm looking for
I design and build production-grade AI backends and real-time optimization systems with a focus on correctness, reliability, and security.
I have engineered real-time optimization algorithms to reduce carbon footprints, developed constraint‑solving decision engines, improved text recognition models, and built personalized audio‑to‑text chat services and video analysis pipelines for recruitment and healthcare platforms.
I publish and research reasoning, self‑supervised learning, multi‑agent systems, LLMs, and retrieval systems, and I mentor junior engineers while seeking opportunities to translate research into robust, impactful production systems.
Experience
Work history, roles, and key accomplishments
Lead Machine Learning Engineer
Oaks Intelligence
May 2024 - Present (1 year 3 months)
Designed real-time optimization algorithms to minimize Carbon-Adjust users' carbon footprints. Architected a modular, AI backend with CI/CD pipelines and scalable database services, applying specification and validation to ensure reliability and security.
Mentor
African Institute of Technology and Innovation
Jan 2024 - Present (1 year 7 months)
Conduct weekly code reviews for assigned mentees and facilitate bi-weekly one-on-one sessions. Assist mentees in debugging their code, providing comprehensive academic support.
Senior Artificial Intelligence Engineer
Polar Frequency
Jan 2023 - May 2024 (1 year 4 months)
Engineered the AI backend for Goghr, a generative AI platform streamlining recruitment processes. Designed and implemented a personalized chat service with real-time audio-to-text synchronization, applying automated-reasoning techniques to guarantee reliability and security.
Artificial Intelligence Engineer
CloudClinic
Jun 2021 - Dec 2022 (1 year 6 months)
Led the development of Nigeria's first telemedicine platform, Cloud Clinic, defining formal specifications and system architecture to ensure secure, reliable healthcare delivery. Developed a robust retrieval algorithm for matching patients to healthcare providers based on their query and data.
Machine Learning Engineer
Stealth Startup
Mar 2019 - Jun 2021 (2 years 3 months)
Developed deep learning algorithms for real-time emotion recognition from facial expressions. Contributed to integrating the algorithm into a music streaming platform to enhance user experience.
Academic Tutor
Conference of Nigerian Christian Engineering Students
Dec 2018 - Dec 2019 (1 year)
Provided academic support to first-year engineering students through tutorials, strengthening their foundation in mathematics. Contributed to the academic community through mentorship, enhancing students' educational journey and learning experience.
Education
Degrees, certifications, and relevant coursework
University of Abuja
Bachelor of Engineering, Electrical Engineering
2015 - 2020
Grade: First Class Honors
Activities and societies: Dean’s List from 2017 – 2021, University’s Scholars Recognition Award, Best Graduating Student, Undergraduate Research Scholar, Academic Tutor (Conference of Nigerian Christian Engineering Students).
Completed a Bachelor of Engineering in Electrical Engineering with First Class Honors. My thesis focused on human activity recognition in wearables using random forest feature selection to reduce computational cost.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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