Experience
Algorithm Developer @
Prisma Photonics
Trained and optimized machine learning algorithms for multi-class anomaly
detection, utilizing time-series and
tabular data.
Created an image processing framework
for improving anomaly detection accuracy and developed feature extraction for increasing threat level ranking.
Developed a tool to assess the quality
of the algorithmic pipeline and
implemented unit tests to enhance its reliability.
Co-founder, Technical Lead @
Gomma (Stealth mode startup)
Gomma aimed at addressing medication
non-adherence with an IoT device.
I played a pivotal role from concept to prototype.
Pioneering work in automatic medication identification, using computer vision approaches.
Was chosen as one of very few starts ups
to participate in HIT Accelerator.
Data Scientist @
Keheala
Developed prediction model for patient's treatment success based on data
from healthcare experiments
conducted in Kenya.
My work included training various supervised classification models through grid search optimization.
Handling missing and imbalanced data, unsupervised learning.
STEM Teaching and Mentoring Positions
Offered mentorship across academic, bootcamp, and private settings
for groups and individuals.
Education
Machine Learning Bootcamp @
Primrose
Intensive elite STEM training led by Weizmann alumni, with a main focus on hands-on proficiency in Python,
implementing machine learning,
and deep learning algorithms.
M.Sc, Neuroscience (GPA 91.72) @
Bar-Ilan University
Thesis: "Designing a virtual reality task for spatial learning in humans".
Laid the foundation for VR system experiments, which led to subsequent studies and resulted two published papers
B.Sc, Neuroscience, MAGNA CUM LUADE (GPA 90.58) @
Bar-Ilan University
Neural Networks, Data Science, Signal Processing, MATLAB, computational neuroscience.