Gilad Kutiel

Founder & Builder @ yomyomyoga.com

Created smart digital tools to empower yoga teachers in building vibrant, sustainable communities. Developed features including personalized memberships, loyalty rewards, and class scheduling integration.

• Designed end-to-end product architecture for teacher-focused SaaS tools.
• Built integrations with booking systems to streamline scheduling.

Algorithm Engineer @ Mobileye

Contributed to the Driver Monitoring System (DMS) team by developing key components such as face and driver detection models, and designing generative models to augment training datasets.

• Developed real-time face detection models optimized for in-vehicle environments.
• Created synthetic data pipelines using generative models.

Research Scientist @ Verily

Built a novel framework for uncertainty quantification in image-to-image reconstruction tasks, improving the interpretability and robustness of generative vision models.

• Developed Bayesian-style methods for modeling uncertainty.
• Published a paper: What's Behind the Mask: Estimating Uncertainty in Image-to-Image Problems.

Applied Scientist @ Amazon

Worked on the Alexa Shopping team using large language models to extract helpful insights from product reviews.

• Built review summarization models to improve customer decision-making.
• Published a paper: Identifying Helpful Sentences in Product Reviews.

Lecturer @ Technion

Taught core algorithmic concepts including design, analysis, and optimization to undergraduate students.

• Delivered lectures to large cohorts, improving exam scores and student satisfaction.

Teaching Assistant in Charge @ Technion

Managed and led teaching activities for courses including "Introduction to Algorithms" and "Computability."

• Supervised a team of TAs and coordinated lab sessions and grading.

Software Engineer, Emerging Markets Group @ Google

Built scalable web services for low-end mobile devices, targeting emerging markets with bandwidth and compute constraints.

• Launched SMS-based and offline-first experiences for key apps.

Researcher, Social Technologies Team @ IBM

Designed a trend detection algorithm for enterprise activity streams, surfacing relevant insights in real time.

• Published: Effective Trend Detection within a Dynamic Search Context.

Intern @ Facebook

Re-architected the messaging system for Facebook Light, improving UX across feature phones and smartphones.

• Significantly reduced message latency on low-end devices.

Intern @ Intel

Created location-based web applications.

• Prototyped early web apps using geolocation APIs and AJAX.

PhD in Computer Science @ Technion

Developed approximation algorithms for NP-hard optimization problems.

• GPA: 92.8
• Thesis: Approximation Algorithms for Submodular Maximization and Network Design Problems.
• Published 4 conference papers and 2 journal articles.

Master's Degree in Computer Science @ Technion

Designed algorithms for resource allocation in cloud computing environments.

• GPA: 92.5
• Thesis: Cost-Aware Live Migration of Services in the Cloud

Bachelor's Degree in Computer Science @ Technion

Completed comprehensive coursework in theoretical CS, software engineering, and system design.

• GPA: 88.8

Conformal Prediction Masks: Visualizing Uncertainty in Medical Imaging

Trustworthy Machine Learning for Healthcare Workshop at NeurIPS

Introduced a method for generating interpretable uncertainty maps to enhance diagnostic transparency.

Identifying Helpful Sentences in Product Reviews

Proceedings of NAACL 2021

Presented methods for extracting useful sentences to improve automated review summarization.

Approximation Algorithms for Submodular Maximization and Network Design Problems

Technion, Israel

Developed efficient approximation algorithms with provable performance guarantees.

Service Chain Placement in SDNs

ALGOCLOUD

Proposed an optimization method for placing service chains in software-defined networks.

Local Search Algorithms for Maximum Carpool Matching

European Symposium on Algorithms

Designed algorithms to improve carpool pairings using local search techniques.

Effective Trend Detection within a Dynamic Search Context

SIGIR 2016

Developed algorithms for identifying trends in dynamic search environments.

Cost-aware live migration of services in the cloud

Haifa Experimental Systems Conference

Proposed cost-aware mechanisms for efficient service migration in cloud computing.

A platform for yoga teachers to build and manage their communities.

A beautiful photo mosaic generator.

A cute little tsk runner.

A Python package for detecting car plates.

A Python package for reading car plate numbers.

A fun and simple multiplayer strategy game.

A web service that allows sharing messages with custom Open Graph content.

The simplest static blog generator on Earth.

A simple pocket manager app.

My personal website about healthy lifestyle.

Natural Language Processing (NLP), Large Language Models (LLMs), Computer Vision (CV), Uncertainty Estimation, Generative Models

Python, Java, Dart, JavaScript, TypeScript, HTML, CSS, SQL

PyTorch, PyTorch Lightning, FastAPI, Docker, Svelte, Git

Full-stack development with Node.js and Svelte; RESTful APIs with FastAPI

Cross-platform app development using Flutter and Dart