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Jemeel oyedola

@jemeeloyedola

Senior Machine Learning Engineer building production-grade multimodal perception and training infrastructure for robotics and autonomous perception.

United States

Message

What I'm looking for

I’m looking to build and own end-to-end ML systems—multimodal perception, training pipelines, and monitoring—where I can validate models with real-world metrics, optimize edge inference latency, and collaborate closely across product and domain teams.

I’m a results-driven Senior Machine Learning Engineer with 9+ years building and deploying production-grade deep learning systems for robotics and autonomous perception. I specialize in constructing training pipelines from raw fleet/user data, optimizing models for edge hardware, and architecting perception systems that operate in dynamic environments.

At MeruHealth, I developed and maintained core perception and decision-making systems that powered patient engagement workflows. I built multimodal PyTorch perception models, designed evaluation frameworks tied to model improvement cycles, and delivered distributed training pipelines using TensorFlow and Kubernetes for longitudinal patient data.

I also engineer solutions for reliability and real-world performance—latency optimization, monitoring, regression testing, and failure-mode analysis—to ensure models stay stable after deployment. Previously at PMA FinancialNetwork and TMPWorldwide, I shipped production ML and backend systems, collaborating across compliance, clinical, and engineering teams to validate behavior, transparency, and performance at scale.

Experience

Work history, roles, and key accomplishments

Senior Machine Learning Engineer

MeruHealth

Sep 2020 - Mar 2026 (5 years 6 months)

Architected multimodal PyTorch perception and decision-making models to predict engagement trajectories and enable personalized intervention timing for a digital therapeutics platform. Built distributed training pipelines and clinically aligned evaluation/monitoring, optimizing edge inference with automated regression testing and achieving 99.9% uptime for perception models.

PyTorch TensorFlow Multimodal Learning Perception Systems Distributed Training Kubernetes CUDA Onnx TensorRT MLFlow

Machine Learning Engineer

Pma Financial Network

Feb 2017 - Sep 2020 (3 years 7 months)

Developed production machine learning models to predict mortgage default probability from borrower financial profiles and mortgage indicators, supporting real-time lending decisions at scale. Built Airflow/SQL ETL and validation pipelines, created evaluation and calibration workflows by risk segments, and implemented fairness testing for regulatory audits.

Python XGBoost LightGBM SQL Airflow scikit learn PostgreSQL

Junior Software Engineer

Tmp Worldwide

Sep 2015 - Feb 2017 (1 year 5 months)

Implemented backend services and data processing modules in Python to enrich candidate profiles and support job listing distribution across external job boards. Improved candidate search performance by optimizing database queries and indexing, and maintained code quality with unit/integration tests and reviews.

Python Java SQL Django REST APIs MySQL Integration Testing Git