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Emmanuel Alabi

Software Engineer working toward AI & Robotics Research

Download academic CV (PDF)Academic CV v0 · Updated August 2026

Research interests

  • Embodied AIHow intelligent agents can perceive, reason about, and interact with physical environments.
  • Robot LearningLearning policies and representations for perception, navigation, manipulation, and control.
  • Computer VisionVisual perception and representation for autonomous systems.
  • Autonomous SystemsSystems capable of sensing, planning, decision-making, and action.
  • Multimodal IntelligenceCombining vision, language, sensor observations, and action.

Education

  • Babcock University

    2019 — 2023

    BSc (Hons) Software Engineering

    Relevant coursework: Algorithms and Data Structures, Discrete Mathematics, Introductory Statistics, Introduction to Operations Research, Artificial Intelligence and Applications, Introduction to Big Data Engineering, Computer Organization and Assembly Language, Operating System I, Database System Design, Implementation and Management

Selected Academic Projects

  • Undergraduate Final-Year Project (SENG490, 72/100), Babcock University

    • Co-designed and implemented a web-based learning management system for Babcock University's Centre for Open and Distance e-Learning, supporting student, lecturer, and administrator workflows.
    • Built course and resource management, assignments, authentication, user administration, collaborative course activity, and role-specific interfaces using React, Node.js/Express, and MongoDB.
    • Conducted requirements analysis, system design, iterative implementation under a spiral methodology, and interface/usability, unit, and integration testing.

Research

  • Research Programme 2026–2027

    August 2026 — present · Embodied AI, Robot Learning, Computer Vision, Autonomous Systems, Multimodal Learning

    The programme of study and experimentation I began in August 2026: building the mathematical, perceptual, and control foundations needed to run independent research on embodied agents, and identifying the specific question I want to pursue in depth.

    www.emmanuelalabi.com/research/research-programme-2026

Selected projects

  • Obelo — Multimodal AI Infrastructure

    A production AI platform combining multimodal generation, retrieval-augmented context, asynchronous orchestration, model routing, and evaluation systems.

  • BUCODEL — Learning Management System

    A web-based learning management system for Babcock University's Centre for Open and Distance e-Learning, supporting student, lecturer, and administrator workflows across courses, assignments, materials, and class interaction.

    https://github.com/alabiemmanuel177/finalyearproject_backend

Engineering experience

  • Founder / Lead Engineer, Obelo

    • Designed and developed a production AI platform combining multimodal generation, retrieval-augmented context, asynchronous orchestration, model routing, and evaluation systems.
    • Experimentation across multiple image-generation and language-model families, structured creative pipelines, retrieval-augmented brand context, and reliability mechanisms for long-running AI workflows.

    Multimodal pipelines · Model routing · Retrieval-augmented generation · Async orchestration · Evaluation systems

  • Software Engineer, SPay Business

    • Worked on production mobile-financial systems, including authentication improvements, application performance, interface redesign, CI/CD automation, and over-the-air mobile deployments.
    • Production engineering maturity: release automation, over-the-air delivery, and performance work under real usage rather than in a demo environment.

    Mobile · CI/CD · OTA deployment · Authentication

Technical skills

Programming
Python, TypeScript, JavaScript, Java, SQL
AI systems
Multimodal AI systems, Retrieval-augmented generation, LLM and model integration, Evaluation and quality systems
Systems and engineering
React, Next.js, Node.js, Express, MongoDB, PostgreSQL, Redis, Docker, CI/CD

Academic CV v0, updated August 2026. The PDF is the canonical version — download it here.