Freelance Resume

Technical Skills

Languages: Python (Type Hinting), Bash/Shell Scripting, SQL (PostgreSQL), JS (React/HTMX)
Frameworks & Libraries: Django, Litestar, SQLAlchemy / ORM, Pandas, NumPy
Architecture & Backend: Object-Oriented Design (OOD), RESTful API Design, Microservices & Modular Architecture, Database Modeling & Schema Design, Containers
Developer Tooling & DevOps: Git, Linux/Unix Environments, Automated CI/CD Workflows, Testing (Pytest, Unit Testing), Docker/Podman

Architected end-to-end technical frameworks for next-generation systems, establishing reusable modular codebases and architectural patterns adopted across cross-functional engineering teams.
Designed and deployed data-driven simulation and analytical pipelines to audit vendor fabrication telemetry, driving algorithmic yield improvements and reducing production unit costs.
Spearheaded performance modeling and automated post-processing routines to extract, parse, and validate high-frequency engineering datasets against stringent tolerance constraints.

Engineered internal Python automation frameworks that streamlined multi-stage design verification pipelines, slashing cycle time by 4 engineer-days per cycle while eliminating manual data translation errors.
Developed custom scripting interfaces and parsing utilities to orchestrate complex simulation engines (Cadence, Ansys), automating PDN analysis, parameter sweep batch runs, and automated reporting.
Spearheaded workflow optimization across partner engineering teams, refactoring operational bottlenecks into automated scripts and standardized protocols to boost overall team throughput.
Mentored 8 junior and mid-level engineers in software best practices, code organization, script maintainability, and tooling deployment.
Led weekly technical workshops on internal tooling architecture, clean code standards, and automation best practices.
Contributed as one of the founding 21 engineers establishing technical workflows and automation standards for the Philippine Design Center.

Designed complex SQL queries and data models in PostgreSQL to extract transactional metrics and optimize business intelligence dashboards.
Built automated reporting scripts to monitor platform KPIs, ensuring data integrity and fast execution across relational database schemas.

Published a paper in Control Systems for Logistics to improve efficiency (Pending publication in iCAST-es)

Published a Research Paper focused on ML Applications on the Grid in an IEEE Conference. doi:10.1109/HNICEM57413.2022.10109403
Implemented ML model training and data preprocessing pipelines in Python.