Software engineer and data-focused developer building practical systems across application support, quality engineering, geospatial analysis, AI/ML, and cybersecurity.

I focus on projects that are reproducible, documented, tested, and grounded in a real operational problem.

Full-stack PostGIS, FastAPI, React, and MapLibre application measuring public-transit and essential-service accessibility across Marion County, Indiana. Includes reproducible spatial analysis, API tests, responsive maps, architecture documentation, and verified desktop/mobile screenshots.

FastAPI and React document-processing workspace using PostgreSQL, Docker, OCR, and structured extraction to turn uploaded documents into searchable information.

Cloud-oriented e-commerce data platform with event ingestion, analytics pipelines, APIs, dashboards, containerized local development, and AWS infrastructure.

Production-style FastAPI analytics application with a secure dashboard, constrained AI assistance, validation, and deployment documentation.

Lightweight, self-hosted distributed PyTorch training with sharded model state, fault recovery, checkpointing, and observability.

• Automated Regression Testing Suite — Playwright and TypeScript framework with traceable browser scenarios, Page Objects, CI, HTML/Allure reporting, screenshots, video, and failure traces.
• Java Application Support Lab — Spring Boot support application demonstrating Java upgrades, SQL troubleshooting, regression testing, validation, and CI.
• Workforce Data Audit Tool — Installable Python and SQL data-validation tool with risk analysis, audit reporting, tests, and documentation.

• Smart Desk AI Monitor — Flask/MQTT environment monitor with simulated IoT telemetry and machine-learning classification.
• Fashion-MNIST Model Compression — PyTorch comparison of pruning, static quantization, and quantization-aware training.
• Image Entropy Analysis — 24-bit RGB Shannon-entropy pipeline with aggregate results and static reporting.
• CSCI 489 Data Science Case Studies — R analysis and imbalanced-classification case studies.
• Sorting Algorithm Benchmark — Instrumented C++ comparison of insertion sort, merge sort, and quicksort.

• Advanced Network Security Labs — Sanitized case studies in vulnerability assessment, traffic analysis, threat hunting, monitoring, and hardening.
• Digital Forensics Investigations — Evidence-handling, artifact-analysis, timeline, network, email, and mobile-forensics case studies.
• Cisco Packet Tracer Network Design — VLAN segmentation, trunking, connectivity validation, and a network/VPN topology.
• Cybersecurity Python Projects — Tested educational implementations of foundational security concepts.

• Evidence-driven troubleshooting across application, API, database, and browser layers
• Automated testing with useful failure diagnostics
• Reproducible data and geospatial analysis
• Clear technical documentation, setup instructions, and limitations
• Responsible handling of security, forensic, and team-project material

Every featured repository links directly to source code, setup instructions, verification evidence, or a clearly labeled case-study methodology.