Milwaukee, WI · Backend systems and applied AI engineer
Computer Science graduate from Milwaukee School of Engineering specializing in AI and machine learning, with experience designing distributed systems, containerized services, and ML-driven data pipelines. Seeking a software engineering role focused on backend systems or applied AI.
Candidate Profile
Queue-driven services, async job orchestration, reliable processing flows.
ECS, SQS, EC2 GPU workers, containerized deployment, scaling by backlog.
LLM pipelines, multimodal extraction, transformer-based modeling, inference APIs.
Python and FastAPI services designed for production-oriented integration.
Selected Work
Project
Designed and deployed a distributed GPU-based inference system for audio-to-MIDI transcription with asynchronous job processing and reliable result delivery.
Architected an event-driven AWS pipeline with autoscaling GPU workers to balance throughput and cost.
Project
Built an LLM-driven pipeline that extracts entities and events from narrative text to support automated consistency analysis.
Converted unstructured paragraphs into structured JSON for downstream graph construction and validation workflows.
Project
Developed an attention-based Transformer model with the MSOE AI Club to classify MoonBoard climbing routes.
Co-authored a research paper and presented findings at the Midwest Instruction and Computing Symposium.
Experience
MP Systems · Milwaukee, WI
Education
B.S. Computer Science
Specialization in AI and machine learning
Skills
Additional Experience
Clubs
MAIC
SSE
Work History
Walter Schroeder Library
Ace Hardware
Contact
Email is the fastest way to reach me. I am looking for software engineering opportunities where I can contribute to backend infrastructure, distributed systems, or production-oriented AI applications.