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Applied AI / Product Engineer

EUGENELIVSCHITZ

I turn real business processes into reliable AI pipelines and products - and own the path from workflow discovery to production.

Full-stack product engineering is my foundation. I use frontier models, deterministic logic, integrations, validation, recovery, and human control to make practical systems dependable.

Applied AIProduct systemsWebMobileBackendIntegrationsValidationHuman control

Selected work

PROJECTS

Selected public project records - from product workflow and AI integration through web, mobile, backend, and operational tooling.

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AI-powered hiring and HR platform

GenieHR

End-to-end hiring and HR product covering recruiter workflows, applicant journeys, assessment, scheduling, references, offers, contracts, employee operations, training, payments, and company administration.

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Assessment and analytics platform

Insightgenie

Customer-facing platform combining non-contact face-scan workflows, voice and customer-call analysis, protected client APIs, institutional management, dashboards, and structured reporting.

Editorial representation of a person preparing a second-hand item for a social marketplace listing
AI-assisted social marketplace

ADED

Full-stack social marketplace built around a simple user flow: create an advertisement from a photo or text and make it discoverable across languages.

Editorial representation of two adults separately using a private mobile connection app in a cafe
AI-assisted mobile matching

AI Matchmaking Platform

iOS and Android dating platform combining compatibility-based discovery, AI-assisted onboarding, real-time communication, community features, and guided relationship experiences.

Editorial representation of a call-analysis workflow with a headset and audio notes
Audio-intelligence backend

Voice Insight

Backend and AI-processing pipeline that turns raw customer-call recordings into validated, structured, analysis-ready inputs for downstream voice analysis.

Editorial representation of a person using a calm non-contact wellbeing check-in
Non-contact wellbeing platform

Wellbeing Platform

Web product combining non-contact face-scan measurement, personal baselines, visual condition summaries, guidance, history, and organization-level management without positioning itself as medical diagnosis.

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Labeled voice dataset operations

Data Collection

Internal full-stack platform for collecting, reviewing, enriching, moderating, curating, and exporting labeled voice samples for AI, analytics, and research workflows.

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Scientific research operations

Scientific Research Platform

Platform in active development for institutional research teams, combining a staff web portal, iOS and Android participant app, and secure backend.

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Mobile-first business networking

PrimeTime Business Network

Coordinated member mobile app, Node.js backend, and React admin panel for a U.S.-based business network.

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Multilingual web platform

Personalized Book Platform

Multilingual web platform spanning customer-facing and internal operational experiences, with AI image-generation APIs orchestrated as part of the product workflow.

About

ABOUT

Tech evolves dynamically. The responsibility stays the same: understand the real problem, turn it into a product people can trust, and own the outcome.

Over 5+ years across web, mobile, backend, cloud, and integrations, I have developed a product-first, systems-oriented approach: start with users and the workflow, understand how the parts affect one another, choose the simplest architecture that can grow, ship, observe real behavior, and keep improving.

Applied AI is the direction that matters most now - transforming real business processes into reliable pipelines and products where models work alongside data, deterministic logic, tools, integrations, validation, recovery, observation, and human control. Architecture, security, reliability, and outcomes remain human responsibilities.

AI orchestration feels less like using a single tool and more like conducting an ensemble: agents, models, tools, data, and deterministic software, each doing the work it is best suited to do. The creative work is shaping them into a real flow and one coherent result - knowing which question to ask, how to break the problem into the right sequence of questions and steps, and when to challenge the answer.

Understand deeply. Build pragmatically. Learn quickly. Own the result.

The wall

ABSTRACTIONS

Curiosity at play.

Sean Scully · 1981

Yaacov Agam · 1964

Lea Nikel · 1986

Bridget Riley · 1967

Contact

LET'S TALK

For a role, product problem, or engineering conversation, email me or find me on LinkedIn, GitHub, and GitLab.