À propos de David
Hébreu
Bilingue ou natif
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Expériences
- stealth-mode startupAI Engineer & Backend Architect (Freelance)janvier 2025 - Aujourd'hui (1 an et 5 mois)○ Co-founded a stealth-mode startup and architected a production-grade AI-powered WhatsAppcustomer-service and ordering platform, built with FastAPI and large language models, and deployed for paying clients.○ Designed and implemented stateful, multi-agent workflows with external API integrations,reducing reliance on human support.○ Led end-to-end development: system architecture, backend implementation, cloud deployment, and ongoing optimization.
- The Hebrew University of Jerusalem, School of Computer Science and EngineeringDoubleYou (W)janvier 2025 - juillet 2025 (6 mois)○ Winning project of the 2025 HUJI Hackathon.○ Developed an LLM-centric system that maintains contextual awareness over a user's personaldata.○ Built a mobile application allowing users to select a backend host and interact with thesystem to request summaries and insights.○ Implemented support for running local LLMs to enhance data privacy and security, alongsidesecure backend ingestion and storage of structured user data, including health, location,contacts, and calendar information.
- Hebrew University of JerusalemTeaching Assistant – Nand2Tetris & Databasesjanvier 2024 - Aujourd'hui (2 ans et 5 mois)○ Provided lab support and weekly guidance to students in systems and database courses.○ Evaluated exams and assignments, ensuring accurate grading and constructive feedback.
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Formations
- M.Sc. in Computer ScienceThe Hebrew University of Jerusalem, School of Computer Science and EngineeringResearch :Machine learning, representation learning, and large language model–based methods for structured mathematical data, with a focus on graph-based representations
- B.Sc. in Computer Science and Physics (Dual Major)The Hebrew University of Jerusalem, School of Computer Science and Engineering2024Core Courses: Algorithms, Python, OOP, OS, Machine Learning , Quantum Mechanic