Rodrigo Lentini
Director, AI Engineering at Deerfield Management
New York, New York, United States
Summary
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Senior🎓
Top SchoolRodrigo Lentini is a Director of AI Engineering with 11 years of experience building medical and enterprise AI systems, currently leading AI efforts at Deerfield Management in New York. He helped develop the first FDA‑approved AI-assisted pathology tool at Paige and later scaled LLM-powered products and fine‑tuning pipelines as an AI lead at Georgian. His background blends academic rigor—an ETH Zurich master’s in Neural Systems and Computation focused on EEG classification and neuron segmentation—with hands‑on engineering, from maintaining the OpenBCI Python library to shipping production cancer detection models. Rodrigo is equally comfortable hiring and structuring teams as he is writing and validating clinical-grade models, and he often bridges research and product by translating regulatory studies into deployable AI systems.
11 years of coding experience
10 years of employment as a software developer
BS Electrical and Electronics Engineering, BS Electrical and Electronics Engineering at New York University Abu DhabiMaster’s Degree Neural Systems and Computation, Master’s Degree Neural Systems and Computation at ETH Zürich
English, Spanish
Github Skills (10)
openbci10
embedded10
serial-communication10
data-parsing10
sys10
python10
interfacing10
hardware-interface10
iot9
test-automation8
Programming languages (7)
Github contributions (5)
openbci-archive/OpenBCI_Python
Nov 2014 - Nov 2015
The Python software library designed to work with OpenBCI hardware.
Role in this project:
Embedded Systems Engineer / IoT Developer
Embedded Systems Engineer / IoT DeveloperContributions:59 commits, 13 PRs, 39 pushes in 11 months
Contributions summary:Rodrigo contributed to the core functionality of the OpenBCI Python library, focusing on the interface with OpenBCI hardware. Key contributions include implementing a data parser to handle incoming data from the OpenBCI board, which involved handling serial communication, and data structure creation. The user also incorporated test signals for hardware verification and refined the user interface to test board behavior.
library-softwarepythonopenbcihardware
rceballos98/EEG_Classifier
Sep 2016 - Aug 2017
Contributions:3 commits, 2 pushes, 1 branch in 10 months
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