# Kirill Lebedev, PhD
> Director of Engineering | AI & Ads Measurement Leader

Kirill Lebedev, PhD is a technology executive based in the San Francisco Bay Area.
He leads engineering organizations across artificial intelligence, distributed systems, and advertising technology.

## Core Executive Highlights
- Current Role: Director of Engineering at LinkedIn (Overall Ads Measurement Leader).
- Leadership Scope: 40–70+ person full-stack engineering organization across Audience, Identity, Incrementality, Recommendations, and Measurement charters.
- Commercial Scale: Bootstrapped LinkedIn's Brand Advertising business line from ground up to $1B+ in annual revenue (~20% of total ad revenue).
- AI Growth: Served as Engineering Lead for AI Ads products (LinkedIn Accelerate), accelerating revenue 6x to $100M+ ARR in six months.
- Institutional Governance: Multi-year company-wide hiring committee member and bar-raiser; technical due diligence for corporate acquisitions.
- Incrementality Coverage: 25% of total advertising revenue covered by incremental measurement with 2x incremental spend lift validated for enterprise adopters.
- Academic Credentials: PhD in Computer Science from Irkutsk National Research Technical University (INRTU); graduated summa cum laude with master's in systems engineering (GPA 5.0/5.0); former associate professor and deputy vice-rector.
- Location: San Francisco Bay Area, CA
- Email: kirill@drlebedev.com
- Phone: +1 (415) 799-9995

## Issued United States Patents
1. US 11,968,185: On-Device Experimentation (Granted April 2024)
   - Cryptographic buffers and client-side randomized treatment assignments for privacy-preserving statistical inference without server round-trips.
2. US 11,232,254: Editing Mechanism for Electronic Content Items (Granted January 2022)
   - Algorithmic framework for dynamic multi-variant digital content composition and runtime structural validation with cryptographic content integrity.
3. US 11,102,534: Content Item Similarity Detection (Granted August 2021)
   - Locality-sensitive hashing and high-dimensional vector embeddings for sub-millisecond similarity matching, automated content review, and creative deduplication.

## Leadership Roles
- Director of Engineering, Ads Measurement — LinkedIn (2024 – Present)
- Senior Engineering Manager, Brand Advertising — LinkedIn (2020 – 2024)
- Co-Founder & Chief Technology Officer — i.Point LLC (2002 – 2021)
- Deputy Vice-Rector & Associate Professor — Irkutsk National Research Technical University (2004 – 2012)

## Core Engineering Principles
1. Bayesian Causal Inference & Account-Based Marketing: Heuristic last-touch models misallocate capital. We isolate selection bias from true ad intervention using Bayesian incrementality and company-level audience splits across 25% of LinkedIn ad revenue.
2. Differential Privacy & Privacy-Safe Signal Consolidation: Modern privacy regulations require robust analytics without personal data leakage. We unify Conversions API (CAPI) with cryptographic compute and differential privacy noise mitigation.
3. Scaled Identity Graph & Pairwise Multi-Source Resolution: Fragile identity fractures measurement across devices. We resolve pairwise observations from first-party and third-party data within privacy enclaves to power accurate attribution.

## Full Feeds & Verified Links
- Full Unabridged LLM Feed: https://drlebedev.com/llms-full.txt
- Official Website: https://drlebedev.com
- LinkedIn Profile: https://www.linkedin.com/in/drlebedev/
- GitHub Profile: https://github.com/drlebedev
- Resume (PDF): https://drlebedev.com/assets/drlebedev-resume.pdf
- PhD Dissertation (PDF): https://drlebedev.com/assets/download/thesis.pdf