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Stop building models that only work on your local machine.
I am a Professional AI Engineer specializing in the full MLOps lifecycle—from mathematical design to containerized cloud deployment. I don't just "train" models; I build scalable infrastructure that ensures your Machine Learning systems are reliable and cost-effective.
My Technical Expertise:
Supervised Learning: High-precision Regression and Classification models for predictive analytics.
Deep Learning: Custom Neural Networks (CNNs, RNNs, Transformers) tailored for complex patterns.
Time Series: Advanced forecasting for financial and operational data.
NLP & Sentiment Analysis: Understanding customer intent at scale.
Mathematics: Expert implementation of differential equations and factoring for model optimization.
Full-Stack MLOps & Deployment:
Containerization: Packaging models with Docker and Kubernetes for environment parity.
AWS Deployment: Scalable hosting using SageMaker, Bedrock, and Lambda.
API Development: Creating high-speed FastAPI endpoints with sub-200ms latency.
Monitoring: CI/CD pipelines to track model drift and performance in real-time.
Why Hire an Engineer? I bring experience in reducing cloud costs by 30% and building systems capable of handling 50k+ daily users.