About john
AI Engineer. Passionate about learning, getting to the essence of a problem, and developing elegant solutions.I also play guitar and am learning to draw.
Key Skills
Experience
Ai Engineer
CurrentAll In On Data
Machine Learning Intern
Philips
Project to develop an AI-based suite of applications to improve the quality and accessibility of obstetrics care in low- and middle-income countries. Funded by the Gates Foundation. - Built interpretability pipeline (LIME, CAM, HiResCAM) for a ResNet50+Attention gestational age model on prenatal ultrasound video — generated heatmaps across 300+ clinical exams for sonographer review. Forked scikit-image to modify quickshift++ segmentation in Cython for domain-specific superpixel constraints. Delivered findings through formal scientific presentation to the research team. - Prototyped 3 architectures for multiple gestation classification — retrained attention on GA ResNet, GA+YOLO feature ensemble, MobileNet with custom attention — diagnosed overfitting and pivoted to feature-engineered classical ML with SQL feature store. Experiment tracking (metrics, hyperparams, git provenance).
Research Assistant
Northeastern University
Built a test suite for a data ETL pipeline processing smartphone data using pytest.
Education
Northeastern University
Bachelors
Christian Brothers Academy
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Common Questions
What is john's expertise?
john specializes in Fine-Tuning Engineer, with expertise in agentic coding, c++, cascading style sheets, claude ecosystem, cuda.
Where is john located?
john is based in new york, new york, united states.
How much experience does john have?
john has 5+ years of professional experience.
How can I contact john?
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