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I am Akinola S. Afolabi, a Data Scientist and AI/ML Engineer with proven expertise in predictive analytics, machine learning system design, and statistical modeling. I build scalable AI solutions, including autonomous agents, recommendation systems, and multimodal LLM integrations, to drive measurable business outcomes. I enjoy translating complex data challenges into deployable, high-impact solutions that empower teams to leverage data effectively. As a collaborative researcher and engineer, I’ve mentored 35+ interns, co-presented research findings, and contributed to clinical AI and oncology initiatives. I’m passionate about bridging academia and industry to create practical tools—especially in healthcare, finance, and intelligent systems—that improve decision-making and user experiences.…I am Akinola S. Afolabi, a Data Scientist and AI/ML Engineer with proven expertise in predictive analytics, machine learning system design, and statistical modeling. I build scalable AI solutions, including autonomous agents, recommendation systems, and multimodal LLM integrations, to drive measurable business outcomes. I enjoy translating complex data challenges into deployable, high-impact solutions that empower teams to leverage data effectively. As a collaborative researcher and engineer, I’ve mentored 35+ interns, co-presented research findings, and contributed to clinical AI and oncology initiatives. I’m passionate about bridging academia and industry to create practical tools—especially in healthcare, finance, and intelligent systems—that improve decision-making and user experiences.

Akinola S. Afolabi

Data Scientist, AI Engineer, Data Analyst, +3

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I am Akinola S. Afolabi, a Data Scientist and AI/ML Engineer with proven expertise in predictive analytics, machine learning system design, and statistical modeling. I build scalable AI solutions, including autonomous agents, recommendation systems, and multimodal LLM integrations, to drive measurable business outcomes. I enjoy translating complex data challenges into deployable, high-impact solutions that empower teams to leverage data effectively. As a collaborative researcher and engineer, I’ve mentored 35+ interns, co-presented research findings, and contributed to clinical AI and oncology initiatives. I’m passionate about bridging academia and industry to create practical tools—especially in healthcare, finance, and intelligent systems—that improve decision-making and user experiences.…I am Akinola S. Afolabi, a Data Scientist and AI/ML Engineer with proven expertise in predictive analytics, machine learning system design, and statistical modeling. I build scalable AI solutions, including autonomous agents, recommendation systems, and multimodal LLM integrations, to drive measurable business outcomes. I enjoy translating complex data challenges into deployable, high-impact solutions that empower teams to leverage data effectively. As a collaborative researcher and engineer, I’ve mentored 35+ interns, co-presented research findings, and contributed to clinical AI and oncology initiatives. I’m passionate about bridging academia and industry to create practical tools—especially in healthcare, finance, and intelligent systems—that improve decision-making and user experiences.

Available to hire

I am Akinola S. Afolabi, a Data Scientist and AI/ML Engineer with proven expertise in predictive analytics, machine learning system design, and statistical modeling. I build scalable AI solutions, including autonomous agents, recommendation systems, and multimodal LLM integrations, to drive measurable business outcomes. I enjoy translating complex data challenges into deployable, high-impact solutions that empower teams to leverage data effectively.

As a collaborative researcher and engineer, I’ve mentored 35+ interns, co-presented research findings, and contributed to clinical AI and oncology initiatives. I’m passionate about bridging academia and industry to create practical tools—especially in healthcare, finance, and intelligent systems—that improve decision-making and user experiences.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Beginner

Language

English

Fluent

Work Experience

Visiting Scholar, Data Science and Machine Learning at International Center for Applied Mathematics, Modelling, and Data Analytics (ICAMMDA)

May 1, 2025 - May 1, 2025

Devised and tested reproducible ML workflows that enhanced experimental reliability and dataset efficiency. Mentored 35+ interns in data science, AI/ML, and research methods, achieving a 92% project completion rate. Co-presented research findings at academic forums to strengthen collaboration in clinical AI.

Graduate Data Scientist at Novartis Pharmaceuticals Basel

October 1, 2024 - October 1, 2024

Built pharmacometrics models that improved PSMA prediction accuracy by 15% and reduced treatment variability. Automated data ingestion and statistical validations across 50+ datasets using R, SAS, and Python; contributed to clinical AI research guiding next-generation drug discovery frameworks.

AI Engineer at Rectlabs AI COMPANY

September 1, 2024 - September 1, 2024

Engineered and optimized NLP models for chatbot applications; developed retraining pipelines and monitoring tools to sustain model performance across dynamic data environments. Mentored two junior engineers; implemented versioning and CI/CD that reduced deployment time by 35% and deployed LLMs for conversational AI, improving user satisfaction by 20%.

Machine Learning Engineer at Unify

April 1, 2024 - April 1, 2024

Led quality and policy reviews ensuring 80% accuracy in model validation workflows, strengthening production compliance and reliability. Created and maintained internal tools to support large-language model training workflows, achieving 10% improvement in real-world application performance.

Lead Machine Learning Engineer at NeuronLogic Inc.

December 1, 2021 - December 1, 2021

Directed a remote 4-person AI team, delivering enterprise-grade ML systems that improved model accuracy by 32% and optimized data infrastructure for faster, more reliable deployments. Spearheaded scalable PyTorch and TensorFlow pipelines and oversaw full-cycle AI initiatives from concept to execution.

Graduate Data Scientist at Novartis Pharmaceuticals

October 1, 2024 - October 1, 2024

Built pharmacometrics models that improved PSMA prediction accuracy by 15% and reduced treatment variability, improving robustness of oncology trials. Contributed to clinical AI research, presenting findings that informed the design of next-generation drug discovery frameworks. Automated data ingestion and statistical validations pipeline in R, SAS, and Python, increasing workflow reproducibility across 50+ datasets.

Machine Learning Engineer at Unify London

April 1, 2024 - April 1, 2024

Led quality and policy reviews ensuring 80% accuracy in model validation workflows, strengthening production compliance and reliability. Created and maintained internal tools to support large language model training workflows, enhancing efficiency and achieving a 10% improvement in real world application performance.