Applied AI, Deep Learning & Pipeline Portfolio
Explore complete computational workflows from exploratory data analysis to production model training, telemetry verification, and API deployment.
Accuracy
99.2%
F1-Score
0.988
Latency
18ms
Accuracy
94.6%
F1-Score
0.932
Latency
4.2ms
Accuracy
96.1%
F1-Score
0.954
Latency
42ms
Accuracy
92.8%
F1-Score
0.915
Latency
85ms
Accuracy
91.4% mAP
F1-Score
0.897
Latency
6.8ms
Accuracy
95.7%
F1-Score
0.962
Latency
26ms
Interested in model architecture collaboration or custom benchmarks?
All training checkpoints, weight distributions, and Jupyter notebooks are documented.
Certifications & Credentials
Rigorous technical assessments and industry-recognized certifications validating expertise across machine learning, cloud pipelines, and production data architectures.
Core Competencies: SageMaker, Model Deployment, Feature Stores, Data Pipelines
Core Competencies: Neural Networks, CNNs, RNNs, Transformers, Optimization
Core Competencies: Supervised Learning, Unsupervised Learning, Recommenders, RL
Core Competencies: Apache Spark, Delta Lake, Medallion Architecture, ETL
Core Competencies: PostgreSQL, MySQL, Query Optimization, Schema Modeling
Core Competencies: Computer Vision, NLP, Watson APIs, Model Evaluation
Continuous Learning & Certification Roadmap
Currently preparing for the Google Cloud Professional Machine Learning Engineer examination.