Some things I’ve worked on
This is a non-comprehensive list of some things I’ve done and am proud of.
re-mind
Side project
Working with Nicole on an agentic chatbot that helps resurface ideas, goals, and intentions at intervals guided by behavioral research to encourage meaningful follow-through.
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Currently building with PydanticAI, FastAPI, Celery, Redis, and PostgreSQL, deployed as a chatbot for Telegram/WhatsApp. In closed alpha testing - check back soon :)
ParallaxNet
At Mobileye
Patent-pending deep neural network for image-based 3D reconstruction in autonomous driving. Deployed in millions of vehicles across multiple OEMs like Porsche, Hyundai, and Kia.
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Led the development across all stages of the project, alongside a junior engineer, replacing an unmaintainable legacy system. Guided research direction, evaluation methodology, infrastructure design and engineering. Trained using Tensorflow/AWS on LiDAR-derived GT, with inference rewritten and optimized in C++ for on-chip deployment. Delivered a robust model with 52% higher accuracy and 2× faster runtime. This became the first in-production ML model developed fully in-house within traditionalist Geometry algo group, paving the way for broader adoption across the org.
Data Component Development
BSI Emergency Response Center, Missing Persons
Led ad-hoc team of 5-9 volunteer engineers during national crisis, building data processing tools to aid in identification of missing persons.
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Anticipated critical bottlenecks in the data pipeline and prioritized development accordingly. Delivered mission-critical systems under extreme time pressure, coordinating volunteer engineers in a high-stress, emotionally charged environment. Received letter of comendation for contribution.
Tire Slip Detection
At Mobileye
A novel analytical method for high-resolution detection of lateral tire slip from images and vehicle signals. Provides a novel capability for detecting traction loss, previously unattainable with traditional sensors. Patent pending.
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Led end-to-end R&D effort, alongside junior engineer and senior researchers across the division. Approach fuses vision cues with vehicle dynamics to detect lateral traction loss in real time. Validated for real-world use across multiple vehicle types and environments, using diverse benchmarking strategies. Achieved 2x better accuracy than projected. Secured strategic deal commitments from VW and Porsche for integration into next-generation safety platforms.
Construction Optimization Modeling
Stealth startup
Developed and deployed a real-time optimization pipeline for an early-stage startup, minimizing project cost and turnaround time in large-scale construction. The system became a core part of the company’s offering, enabling early customer traction ahead of MVP.
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Conducted applied research, designing and implementing a multi-stage optimization framework for resource allocation and execution efficiency. Integrated diverse optimization techniques with real-world engineering constraints to achieve near real-time performance on large-scale problem instances. Delivered a robust production system that remains integral to company’s offering - driving measurable cost and time savings.
Road Profile
At Mobileye
Owned and modernized premium perception product for dynamic suspension systems, enabling high-precision road-surface awareness for improved comfort and safety in top-tier ADAS programs.
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Took long-term ownership of massive legacy codebase and led its modernization after more than a decade in production. Collaborated closely with OEM engineers to discern market requirements and deliver new features, resolve issues, and align development. Introduced first empirical evaluation framework using LiDAR-based ground truth to quantify real-world accuracy. Redesigned the system around an event-based architecture, significantly reducing support overhead and sucessfully converted customers to the new system.
Beacon
Student hackathon entry
Offline mesh-networking app for disaster scenarios that relays peer-to-peer distress messages to reach search and rescue teams without internet connectivity. 3rd place winner at the 2019 HUJI Hackathon.
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Led the team through ideation, system design, architecture, and implementation of an Android app prototype. Built a fully functional demo in 24 hours, handling device-to-device message relay over BLE (via Hype SDK, now Uplink) - able to reach devices across multiple rooms with no wifi or cellular signal.