Publications & Research
Academic publications, conference proceedings, and active research directions.
Academic Publications
Investigated asymmetric parallel training strategies spanning model, pipeline, and data distribution formats on heterogeneous GPU environments. Formulated dynamic scheduling costs to minimize cross-device latency.
Formulated a cascading, high-accuracy url classification schema. Deployed 6 independent attribute-specific feature classifiers passing logical inputs to a final ensemble decision tree.
Evaluated and compared mathematical accuracies of distinct classifiers (regression models, neural layers, decision trees) predicting financial yield success metrics based on production features.
Conducted extensive correlation audits and feature importance mappings to analyze box office predictability metrics based on cast strength, release windows, and budget ratios.
Professional Certifications
Cloud Engineering (Google Cloud)
- Google Cloud Fundamentals: Core InfrastructureGoogle Cloud
Applied Cryptography & Tools
- Applied Cryptography SpecializationSpecializationUniversity of Colorado System
- Asymmetric Cryptography and Key ManagementUniversity of Colorado System
- Symmetric CryptographyUniversity of Colorado System
- Mathematical Foundations for CryptographyUniversity of Colorado System
- Classical Cryptosystems and Core ConceptsUniversity of Colorado System
Research Interests & Directions
Machine Learning Accelerators
Exploring specialized hardware compilers, scheduling layers, and performance optimizations for large language model workloads.
Symmetric & Asymmetric SMPC
Developing Secure Multi-Party Computation protocols enabling collaborative machine learning over encrypted, privacy-safe pipelines.
Quantum Computing Simulators
Researching NISQ quantum hardware limitations, state vector simulations, and algorithms under the guidance of MPS lab collaborators.