Network Security Anomaly Detection
Full MLOps pipeline: ETL, data validation, experiment tracking with MLflow, batch prediction, and automated deployment to AWS.
Building and deploying AI-powered solutions π Deep learning, MLOps pipelines, and cybersecurity, from notebooks to production π
Core skills powering every project, from data wrangling to cloud deploy.
Applied ML work in MLOps, computer vision, and NLP.
Full MLOps pipeline: ETL, data validation, experiment tracking with MLflow, batch prediction, and automated deployment to AWS.
Custom CNNs vs. fine-tuned ResNet18 on multispectral satellite imagery. Evaluated augmentation and normalization strategies.
Comparative study of NMT architectures: stacked LSTMs to Bi-GRU with Bahdanau attention. Deployed live on Streamlit.
From AI training to full-stack engineering.
Available for Data Science roles. Let's build something cool together π€