Open to opportunities

Alabi Adeleke

@alabiadeleke

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Senior Machine Learning Engineer delivering scalable, production-grade AI solutions.

United States

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What I'm looking for

I seek a senior AI/ML role building production-grade, cloud-native ML systems with strong MLOps, cross-functional collaboration, and opportunities to apply LLMs, GenAI, and computer vision to drive measurable business impact.

I am a Senior Machine Learning Engineer with 10 years of hands-on experience building production-grade AI/ML systems across healthcare, gaming, e-commerce, and finance. I lead end-to-end machine learning projects from data engineering and model development to deployment using modern MLOps practices.

I specialize in deep learning, recommendation systems, LLMs/Generative AI, time-series forecasting, and computer vision, and I have designed HIPAA-compliant pipelines, RAG-enabled search, and LLM-driven applications that produced measurable business impact. I have led cross-functional teams, mentored colleagues, and implemented scalable APIs and cloud-native infrastructure on AWS, GCP, and Azure.

I am passionate about creating user-centered, high-performing AI applications that deliver measurable value through robust deployment, monitoring, and continuous improvement practices, while emphasizing security, compliance, and operational excellence.

Experience

Work history, roles, and key accomplishments

Senior Machine Learning Engineer

McKinsey & Company

May 2022 - Nov 2025 (3 years 6 months)

Led end-to-end ML initiatives for healthcare and e-commerce clients, deploying LLM and generative AI solutions, recommendation engines, and time-series forecasts that improved operational efficiency and reduced provider/admin workload.

Python LLM TensorFlow PyTorch Recommendation Systems Time Series AWS Sagemaker MLFlow

Machine Learning Engineer

Epic Games

Jul 2019 - Apr 2022 (2 years 9 months)

Implemented real-time ML features for personalization, matchmaking, moderation, and fraud detection using deep learning and streaming pipelines to boost engagement and reduce abuse.

PyTorch TensorFlow Recommendation Systems Apache Kafka Apache Flink Docker Kubernetes MLFlow

Data Scientist

Upstart

Jun 2017 - May 2019 (1 year 11 months)

Built credit scoring, fraud detection, and forecasting models (XGBoost, time-series) and productionized ETL and model APIs to improve underwriting accuracy and operational reporting.

Python XGBoost scikit learn Vertex AI BigQuery Airflow DBT Flask Time Series

Data Analyst

Buske Logistics

Jul 2015 - May 2017 (1 year 10 months)

Analyzed global supply-chain data and built demand-forecasting and anomaly-detection models to reduce stockouts and streamline logistics operations with interactive BI dashboards.