Open to opportunities

EWARD MCKINLEY, JR

@ewardmckinleyjr

Message

Experienced Machine Learning Engineer with a focus on scalable AI solutions.

United States

Message

What I'm looking for

I am looking for a role that fosters innovation, collaboration, and growth in AI technologies.

I am a Machine Learning Engineer with over 8 years of experience in designing, building, and deploying scalable AI solutions tailored for enterprise applications. My expertise lies in developing predictive models, NLP pipelines, and real-time inference services using advanced technologies such as Python, TensorFlow, and PyTorch. I have a proven track record in ML Ops, model optimization, and deep learning frameworks, which allows me to deliver impactful data products that significantly improve business outcomes.

Throughout my career, I have successfully built scalable ML pipelines and led the deployment of NLP models into production. My collaborative approach enables me to work effectively in agile environments with cross-functional teams, ensuring that projects are completed on time and meet the highest standards. I am passionate about leveraging machine learning to solve complex problems and drive innovation in the industry.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

DataQuanta AI Solutions

Apr 2021 - Present (4 years 3 months)

Built scalable ML pipelines using PyTorch Lightning and MLflow for fraud detection and recommendation systems. Led deployment of NLP models (BERT, RoBERTa) into production using FastAPI + Docker + Kubernetes.

Pytorch Lightning MLFlow BERT RoBERTa fastAPI Docker Kubernetes GitHub Actions Onnx

Machine Learning Engineer

NextGen HealthTech

Jul 2017 - Mar 2021 (3 years 8 months)

Developed predictive models for hospital readmission and diagnosis classification (AUC > 0.89). Created real-time patient risk scoring API using TensorFlow Serving and GCP Vertex AI.

Vertex AI Apache Airflow SHAP LIME

Data Scientist

Infera Analytics

Jan 2015 - Jun 2017 (2 years 5 months)

Engineered features and built time-series models for demand forecasting using ARIMA, Prophet, and LSTM. Automated experimentation workflow with DVC and versioned data tracking.

ARIMA Prophet SQL Tableau A B Testing Time Series