Console/Projects
Available for Opportunities

Operational Systems & Engineering Work

Production and experimental systems across support operations, API engineering, and data analysis.

API Vitals

Production

A support-focused web dashboard for testing, monitoring, and diagnosing API failures in plain language. Built to simulate real-world Tier 2 / Tier 3 API troubleshooting by surfacing common failure patterns and providing actionable diagnostic insight, not just raw status codes.

PythonFastAPIREST APIsPostgreSQL

Plain-language root-cause guidance; tracks recurring API issues over time.

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Internal CPQ Platform

In Development

Full-stack configure-price-quote platform owning pricing workflows, approval logic and sales-operations automation, built from requirements gathered across sales, ops and leadership.

PythonFastAPISQLAlchemyPostgreSQL

Centralized quote creation, approvals and pricing — cut operational overhead.

HubSpot CRM Integration

In Development

Integration of HubSpot CRM APIs into internal systems, with hardened authentication, payload validation and rate-limit handling.

HubSpot APIFastAPIRESTJSON

Reliable CRM sync; resolved recurring auth and rate-limit failures.

Service Request Tracking System

Production

Internal ticketing system built to replace a decommissioned Service Manager platform and restore structured intake, tracking, and routing of facilities and repair requests.

Microsoft ListsPower AutomateWorkflow AutomationTicketing Systems

Restored visibility; reduced ticket loss/duplication; improved triage and prioritization.

CityPoly API Service

Production

Go-based authenticated REST API with a frontend interface for querying structured data, featuring API key access, rate limiting, and a PostgreSQL/SQLite-backed data layer.

GoGinREST APIsPostgreSQLSQLiteGORMAuthenticationRate Limiting

Delivered secured API with auth, rate-limited endpoints, and controlled access via structured routes.

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WNBA Draft SQL Analysis

Completed

SQL-based analysis of WNBA Draft data (1997–2022) to explore player performance, drafting trends, and college-level patterns using real-world datasets.

SQL ServerT-SQLWindow FunctionsAggregationsJoinsSubqueries

Identified draft and performance trends across players and colleges using advanced SQL querying techniques.

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