Curtis Maddalozzo
Senior Software Engineer at Bloomberg
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolCurtis Maddalozzo is a Senior Software Engineer with over 12 years of experience building scalable web and ML systems, currently working at Bloomberg and serving as a Staff Engineer at Tractable. He combines deep full‑stack chops from early startup and e‑commerce roles with recent focus on production ML inference—contributing to KServe by adding Triton FasterTransformer examples, V2 protocol postprocess work, and OpenAI endpoint support. Comfortable across cloud infrastructure, Kubernetes, and high‑traffic architectures, he has a proven track record shipping reliable systems that handle millions of users and significant transaction volumes. Known for pragmatism and attention to operational detail, he brings entrepreneurial experience as a cofounder together with enterprise rigor to bridge research models and production deployments.
12 years of coding experience
10 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at University of Victoria
English
Stackoverflow
303reputation
6kreached
6answers
2questions
Github Skills (21)
kubernetes10
python10
machine-learning10
openai10
kubernetes-pods10
pytorch9
tensorflow9
huggingface-transformers9
api8
apim8
api-design8
firefox6
php6
google-chrome6
file-upload6
Programming languages (9)
Github contributions (5)
kserve/kserve
Nov 2022 - Nov 2022
Standardized Serverless ML Inference Platform on Kubernetes
Role in this project:
ML Engineer
ML EngineerContributions:29 reviews, 1 commit, 15 PRs in 1 day
Contributions summary:Curtis primarily contributed to the development and integration of machine learning models within the KServe platform. Their work included implementing a Triton FasterTransformer example, addressing issues related to deployment reconciliation, and modifying the postprocess interface for the V2 protocol. The user also added support for OpenAI API and model endpoints, demonstrating their involvement in enhancing the platform's capabilities for model serving.
xgboostsklearnserverlessclient-goknative
cmaddalozzo/dotfiles
Jun 2016 - Nov 2024
Contributions:49 pushes, 1 branch in 8 years 5 months
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