Developing an AI-powered platform for CRM account research and insights
Experience
2024 — Now
2024 — Now
United States
As Founding Engineer at CandorIQ, architected and built the AI-powered platform that transforms compensation and headcount planning for fast-growing companies. Developed intelligent agents and ML systems that automate complex workflows for HRBPs, compensation analysts, and finance partners—delivering AI-driven recommendations for pay ranges, merit cycles, and headcount scenarios. Built the core AI Agent feature that provides proactive insights, identifies risks, and simplifies reporting across the people spend lifecycle, enabling companies to complete merit cycles 2.5x faster, reduce churn by 25%, and save over $500K annually.
2022 — 2024
2022 — 2024
United States
As Applications Platform Architect at Databook, architected the core platform powering AI-driven account intelligence for enterprise sales teams at companies like Salesforce and Schneider Electric. Designed a secure, scalable GraphQL API infrastructure optimized for AI/ML workflows, enabling real-time delivery of strategic insights and customizable agentic AI features including financial analysis, meeting prep assistants, and executive briefings. Built flexible workflow customization capabilities and seamless CRM integrations that transformed vast amounts of business data into actionable intelligence—helping elite sellers achieve 1.9X higher ACVs and 25% greater productivity.
2020 — 2023
2020 — 2023
San Francisco Bay Area
As Applications Platform Architect at Slync.io, designed and built the intelligent collaboration platform that redefined supply chain operations for global logistics leaders. Architected scalable systems leveraging AI-driven workflows to enable seamless multi-party data sharing and real-time visibility across shippers, carriers, and forwarders. Developed core infrastructure that automated exception management and delivered actionable analytics—resulting in measurable cost savings and competitive advantages for enterprise customers navigating complex supply chain networks.
2017 — 2020
Core member of the Salesforce Einstein Platform team, building the first comprehensive AI for CRM and delivering artificial intelligence capabilities to millions of enterprise users globally.
Architected and shipped key AI/ML features including the Einstein Recommendation Engine and Einstein ChatBot, enabling predictive analytics, intelligent recommendations, and automated insights across the Salesforce ecosystem.
Democratized enterprise AI by making machine learning accessible to business users without requiring data science expertise, transforming how companies leverage AI in their daily workflows.
2016 — 2017
Principal developer on the Mobile SDK team. Developing on both iOS and Android.
Education
Lomonosov Moscow State University (MSU)