Engineering Experience

Engineered machine learning systems and AI evaluation pipelines for enterprise sustainability auditing and regulatory compliance.

• Built Leviathan, a sustainability and anti-greenwashing audit platform using a scikit-learn ensemble (Random Forest, Gradient Boosting, Ridge Regression) to predict carbon footprint and durability with a reported R² of 0.88.
• Developed an automated Greenwashing Inspector using TF-IDF vectorization and Gemini semantic reasoning to audit corporate marketing claims against international ISO 14021 standards.
• Integrated Open Food Facts and Google Shopping APIs for automated multi-source product catalog ingestion and structured attribute extraction.
• Preserved strict enterprise privacy and clean code standards with reproducible validation suites.

Developed high-performance desktop clients and cloud-managed asset delivery pipelines for XR simulation modules.

• Built the XARC Nexus Aggregator desktop client using React, TypeScript, and Electron, enabling unified access to spatial simulation modules.
• Integrated Unity Addressables for dynamic, on-demand XR module loading, drastically reducing initial client installation footprint.
• Configured AWS S3 for remote asset bundle hosting, cryptographic checksum validation, and version rollbacks.
• Implemented local module cache management, real-time chunked download progress tracking, and automated delta-update detection.

Executed supervised and unsupervised machine learning workflows across raw data ingestion, feature engineering, and model validation.

• Engineered end-to-end ML training pipelines across diverse tabular and unstructured datasets.
• Conducted rigorous exploratory data analysis (EDA), missing-value imputation, outlier removal, and correlation diagnostics.
• Applied feature selection, categorical encoding, and dimensionality reduction techniques.
• Trained, cross-validated, and benchmarked regression and classification models using scikit-learn and Pandas.

Engineered business intelligence dashboards, automated data transformation models, and executive KPI reporting.

• Constructed interactive enterprise Power BI dashboards with customized drill-through and multi-level hierarchy navigation.
• Authored optimized Power Query ETL transformations to clean and merge disparate relational datasets.
• Formulated complex DAX measures and calculated columns for dynamic KPI tracking, YoY comparisons, and cohort analysis.
• Configured user-friendly filters, slicers, and bookmarks for executive presentation delivery.