Philadelphia, PA
Drew Stackhouse
Software Engineer
Software engineer with 6+ years of experience building production systems across full-stack web, cloud infrastructure, and ML/NLP. Holds an MS in Computer Science from Villanova, with thesis research on parameter-efficient fine-tuning for low-resource indigenous language translation.
Projects
Master's Thesis: PEFT for Indigenous NLP ↗
2025 – 2026Benchmarked parameter-efficient fine-tuning methods (LoRA, AdaLoRA, DoRA, VeRA, IA3, OFT, BOFT, Prefix Tuning) across 16 indigenous languages of the Americas, examining performance across data regimes from very low-resource (hundreds of sentences) to low-resource (hundreds of thousands). Advanced neural machine translation for underrepresented languages.
NeuralTranslate
2020 – 2023Neural machine translation application for 36+ language pairs. Trained custom TensorFlow models and deployed the full stack on AWS serverless infrastructure (Lambda for inference, ECR for model versioning, API Gateway for REST endpoints) with a Nuxt.js frontend.
Experience
M House Studios
Lead Software Engineer
2025 – Present
- Leading headless commerce migration from Shopify to Next.js + Cloudflare Workers, with full technical ownership across architecture, implementation, and deployment.
Friends of Philly Aquatics
Software Engineer - Frontend
2026 – Present
- Built and maintain a Next.js website (Cloudflare Workers) for a non-profit youth aquatics program, with integrated donation (Zeffy) and forms/waiver (Jotform) functionality
Villanova University
Associate Director, Operations Management
2026 – Present
- Architected workflow automation serving 3,500 students and 300 faculty across 10+ academic processes, integrating with Oracle Banner ERP via custom SQL and REST APIs.
- Led zero-downtime platform migration from Microsoft Power Platform to SoftDocs Etrieve; built Python data pipelines for enrollment forecasting, demographic analysis, and bulk PDF processing.
Villanova University
Assistant Director, Systems Management
2019 – 2026
- Designed and maintained enterprise student-services systems, aligning cross-functional stakeholders and delivering workflow reliability improvements across advising and registrar operations.
Skills
Languages
Frontend
Backend
ML / NLP
Cloud
Data