Eugene Livschitz
EXPERIENCE
Applied AI / Product Engineer · Tel Aviv, Israel
Applied AI / Product Engineer with 5+ years of software-development experience across web, mobile, backend, cloud, integrations, and AI-enabled workflows. Full-stack product engineering is the foundation for translating business processes into dependable software and AI systems.
PROFESSIONAL EXPERIENCE
Insightgenie
Lead Developer / Full-Stack Engineer
Jan 2023 - Present · Tel Aviv, Israel
- Built and evolved frontend and backend areas across assessment and analytics, hiring and HR, voice processing, wellbeing, and labeled-data operations.
- Connected React experiences with Node.js services, MongoDB, cloud storage, permissions, billing, communications, and production AI integrations.
- Led development efforts across parts of the platform, mentored junior developers, and collaborated with engineers and data specialists on delivery and production troubleshooting.
Glance Tech
Full-Stack Developer
Mar 2020 - Sep 2022 · Moscow, Russia
- Designed and built web products end-to-end with other developers, covering UI/UX, frontend implementation, backend logic, integrations, and testing.
- Developed customer-facing marketplace and matching workflows, social-platform integrations, and a multi-device venue music system connecting mobile actions with in-venue displays.
CampusFlow
Co-Founder / Implementation Engineer
Jan 2015 - Mar 2020 · Moscow, Russia
- Co-founded and helped deliver campus self-service infrastructure connecting students' mobile devices with distributed on-site machines.
- Led field deployment, setup, stabilization, troubleshooting, and operational handoff, coordinating engineering, customers, and on-site operations.
CORE EXPERTISE
- Frontend and mobile
- JavaScript, TypeScript, React, Next.js, React Native, Expo, Multilingual and RTL interfaces
- Backend and data
- Node.js, Express, REST APIs, MongoDB, Mongoose, Socket.IO, Authentication and permissions, Transactions and idempotency
- Applied AI
- AI workflow orchestration, Mastra, Structured outputs, Validation and recovery, Embeddings and hybrid search, OCR and transcription integration, Human review workflows
- Delivery and operations
- AWS, Docker, Docker Compose, CI/CD, Automated testing, Structured logging, Production troubleshooting
PROJECT EVIDENCE
AI orchestration and product integration
Connects model calls, deterministic logic, validation, recovery, and human oversight within product workflows. GenieHR includes production AI features and an implemented, tested Mastra workflow for structured CV extraction and scoring.
Backend reliability and data integrity
Builds request validation, transaction-backed operations, idempotency controls, duplicate-work protection, and concurrency guards around business workflows and billing.
Search, discovery, and real-time products
Implemented multilingual hybrid discovery combining query translation, structured filters, embeddings, and MongoDB Atlas Vector Search, alongside persistent buyer/seller communication.
Processing pipelines and reviewed data workflows
Owns Node.js orchestration for media validation and preprocessing, specialized service integration, traceability, and cleanup. Builds reviewer and administrator tools for labeled voice datasets with human moderation.
Mobile, web, and operational delivery
Builds connected mobile applications, backend business rules, and administrative tools, including integrations for identity, billing, files, and notifications.
ENGINEERING APPROACH
Starts with users, business rules, and the operational workflow, then carries the work through architecture, implementation, testing, deployment, and improvement after release.
Uses Codex, Claude Code, Cursor, reusable skills, MCP integrations, and code exploration tools in daily engineering, while retaining human responsibility for architecture, security, reliability, and product outcomes.
Communicates decisions and risks clearly, supports teammates across boundaries, stays focused under pressure, and adapts to feedback and changing requirements.
EDUCATION AND LANGUAGES
Financial University
Master's Degree in Economics - Financial Engineering and Financial Markets
- English - Fluent
- Hebrew - Beginner
- Russian - Native
EXPERIENCE SCOPE
Python experience is integration of Python/FastAPI and model services; primary backend ownership is in Node.js product and orchestration layers.
AI experience centers on product integration and orchestration. The tested Mastra workflow is distinct from the production AI features described in the GenieHR project record.
Project status and contribution are described individually. The Scientific Research Platform remains in active development; confidential project records use approved generalized descriptions.