Machine Learning Engineer | Full-Stack Developer | AI-Powered Product Builder
Mike Doe
Professional Summary
Machine Learning Engineer with hands-on experience developing AI-powered solutions and full-stack applications. Skilled in designing, training, and deploying machine learning models using Python, TensorFlow, PyTorch, and cloud services such as AWS and Azure. Proven ability to deliver scalable, data-driven products and optimize ML pipelines to support business objectives in agile environments.
Work Experience
Data Scientist Intern at Agriculture & Agri-Food Canada
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• Led preprocessing of large geospatial datasets using pandas, NumPy, and SQL, reducing ETL time by 30%. • Conducted exploratory data analysis and statistical testing to identify predictors of crop yield. • Engineered predictive features from satellite imagery and remote sensing data to improve model quality. • Trained XGBoost and Logistic Regression models to forecast soil risk and yield with 85% accuracy. • Used cross-validation and stratified sampling across 12 geographies to enhance generalization. • Built ML pipelines in MLflow with version tracking and performance comparison. • Deployed models on AWS Lambda and S3 using Docker containers. • Created interactive dashboards in Streamlit to support real-time decision-making. • Worked in Agile sprints using GitHub Projects and Trello.
Machine Learning Engineer Intern at Generico AI Startup
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• Built ML-powered features for a cloud analytics platform with over 1000 active users. • Trained and integrated YOLOv5 for backend image detection with 92% accuracy. • Developed RESTful APIs using NestJS to deliver image classification and snapshot management. • Improved API speed and reliability by 25% through Postman and Swagger-driven testing. • Created OCR pipeline using TensorFlow and PyTorch for claims documents with 86% accuracy. • Integrated microservices with Microsoft Dynamics ERP and deployed to Azure.
Skills
Technical Skills
- Machine Learning
- AI
- Python
- scikit-learn
- XGBoost
- PyTorch
- TensorFlow
- MLflow
- Prophet
- ARIMA
- LangChain
- GPT-4
- Claude
- Pandas
- NumPy
- SQL
- MongoDB
- GDAL
- GeoPandas
- Streamlit
- PowerBI
- Plotly
- Seaborn
- Matplotlib
- FastAPI
- NestJS
- Flask
- Express
- OpenAI API
- Postman
- Swagger
- ReactJS
- NodeJS
- Tailwind CSS
- Framer Motion
- MERN Stack
- Particles.js
- AWS Lambda
- AWS S3
- Azure
- Docker
- GitHub Actions
- CI/CD
- Firebase
- Kubernetes (basic)
- Terraform (basic)
- PyTest
- JWT
- OAuth2 (basic)