Professional Summary

I’m a content manager and technical writer working across AI, machine learning, data, and developer education. I help technical teams turn complex ideas into clear editorial systems: articles, docs, newsletters, social campaigns, SEO workflows, and launch content that readers can actually use.

My work sits between research-grounded writing, editorial strategy, SEO, and audience growth. I care about content that is technically credible, easy to follow, and connected to a measurable business or community goal.

Across recent roles, I’ve written and contributed to 98+ AI/ML articles, helped grow technical audiences through organic channels, and built repeatable content systems for newsletters, courses, blogs, docs, and social distribution.

Experience

Co-Founder & Content Strategist @ AI Shipping Labs (January 2026 - Present)

• Built and shipped the launch website as a Next.js application using v0, connected it to GitHub, and continued development in Cursor.
• Automated content migration by adapting Python scripts from the DataTalks.Club repository in Cursor to convert Google Docs newsletter editorials into Markdown with embedded images.
• Repurposed the existing Substack newsletter archive into the site blog.
• Built a filterable Curated Links interface for tools, models, courses, and categories, curating recommended resources for members.

Content & Growth Manager @ DataTalks.Club (May 2025 - Present)

• Own content and growth across the founder’s X and LinkedIn, Alexey on Data newsletter, course funnels, blog/SEO, sponsorships, and selected community campaigns.
• Grew founder channels through end-to-end content ownership: X reached 6.9M impressions, +5,855 followers (+25%), and 25,850 profile visits; LinkedIn reached around 3M impressions (+101% year over year), +31% followers, and 366K+ members reached.
• Researched, designed, wrote, and grew Alexey on Data from launch to 5,222 subscribers and 245K views in about six months; also contributed to referral program design and drove 242 subscribers from Zach Wilson’s DataExpert.io.
• Built course and conversion funnels including a free AI agents email course with 3,777 sign-ups and promo-code campaigns that drove 25 paid AI Engineering Buildcamp enrollments.
• Supported blog and SEO growth by contributing to about 48% year-over-year traffic growth, improving course pages, creating high-performing listicles, building graduate case studies, and using custom Python/OpenAI tooling in Cursor to automate metadata generation.
• Sourced and negotiated sponsorships including Chalk, Estuary, Snowflake, and JetBrains; defined promo-copy specs and adapted sponsor drafts to the newsletter’s house style for 14+ companies.
• Wrote and framed the viral Claude Code database-deletion campaign, edited the newsletter issue, and helped generate 4M+ X impressions, 104,924 LinkedIn impressions, 102,118 newsletter views, and 227 new subscribers.

Newsletter Editor @ DataTalks.Club (April 2023 - May 2025)

• Ran the DataTalks.Club newsletter part-time alongside full-time roles, writing weekly editions end to end and managing sponsor copy.
• Defined promo-copy specs and tailored sponsor drafts to the newsletter’s house style across 20+ sponsors, including Anaconda, Weights & Biases, Astronomer, Arize, Tecton, Airbyte, Estuary, Bright Data, and Kestra.
• Occasionally wrote social media posts for Alexey Grigorev and DataTalks.Club.

Social Media Manager & Newsletter Editor @ DataTalks.Club (January 2023 - April 2023)

• Owned X and LinkedIn content strategy end to end: proposed the strategy and plan, created every post, and introduced structured formats, recurring rubrics, carousels, and campaign messaging across courses, events, sponsors, and community updates.
• More than doubled LinkedIn engagement rate from 2.92% to 7.65%.
• Grew clicks per post from 37 to 243 (+557%) and CTR from 1.99% to 6.18%, while adding +31% followers and +56% impressions per post.
• Helped drive 5,000+ MLOps Zoomcamp sign-ups in about 1.5 months through influencer outreach to top MLOps voices, a pre-course live Q&A with the founder, and cross-promotion across the newsletter and roughly 50 LinkedIn/Facebook community posts.
• Revamped the newsletter sponsorship template, adapted sponsor-supplied promo copy to house style, and amplified sponsors across social.
• Designed Figma templates and assets for social posts, newsletters, course promotions, and event banners.

Head of Content @ Learn Prompting (August 2024 - April 2025)

• Owned content-led growth across docs, blog, newsletter, email, and social: strategy, SEO, Git-based publishing, and performance analysis end to end.
• Lifted organic users 98%, sessions 65%, and engagement metrics 25-45 percentage points in nine months.
• Authored documentation grounded in primary research, including a paper co-authored by Learn Prompting’s founder with contributors from Google, OpenAI, Stanford, Microsoft, and Princeton.
• Wrote long-form blog pieces on LLMs, prompt engineering, AI safety, and red teaming.
• Led the editorial roadmap for the Prompt Engineering Guide and blog while managing five freelance technical writers.
• Built onboarding, style, SEO, brief, and review systems to keep output consistent.
• Launched the Learn Prompting newsletter from scratch, researching the audience, designing the format, and writing weekly editorials that reached 35-40% open rates and 4-6% CTR.
• Drove record organic traffic to commercial course pages through new SEO content pillars, content refreshes, internal linking, FAQ sections, and sales-page optimization.
• Launched a free automated Prompt Hacking email course and grew social channels from 13K to 14.6K on X and 1.7K to 3.05K on LinkedIn.

AI/ML Contributing Editor and Social Growth Manager @ Turing Post (February 2023 - June 2024)

• Made social media the newsletter’s third-largest subscriber acquisition source while growing X/Twitter from 46,000 to 60,000 followers (+30%) and LinkedIn from 2,600 to 4,600 followers (+76%).
• Earned external recognition from Yann LeCun, Chief AI Scientist at Meta and Turing Award winner, for the JEPA explainer.
• Authored and co-authored AI/ML explainers, company profiles, and historical analysis, contributing to 30% of premium conversions from free subscribers.
• Covered topics including Transformers, RAG, Chain-of-Thought, JEPA, Databricks, xAI, Scale AI, Zhipu AI, and Moonshot AI.
• Drove subscriber growth beyond social through a lead-magnet funnel, distribution on Hacker News, Reddit, and Quora, and growth experiments informed by publisher data, Google Analytics, and competitor research.
• Onboarded and mentored a social media intern by creating guidelines, reviewing posts, and enabling independent execution within one month.
• Regularly proposed editorial ideas, social formats, distribution experiments, and audience growth opportunities during planning and growth discussions.

Social Media Marketing Specialist @ TheSequence (January 2021 - February 2023)

• Grew TheSequence’s X/Twitter from fewer than 1,000 to 46,000 followers and drove 20M+ impressions for a technical AI/ML audience.
• Owned end-to-end X/Twitter and LinkedIn strategy, content planning, daily publishing, KPI tracking, and weekly performance reviews.
• Sustained 3,000-4,000 new followers per month at peak and scaled monthly reach from about 37K to 2.4M impressions.
• Optimized the content mix through weekly top-post analysis and built recurring formats including research roundups, hiring digests, and course/book collections.
• Built a repeatable system for repurposing newsletter content into threads, posts, and updates; top performers reached 130K-569K impressions and about 1,500-6,200 link clicks each.
• Earned organic reshares from leading industry accounts including Amazon Science, AllenAI, Hugging Face, Stanford AI Lab, and Harvard.
• Monitored AI/ML trends, reacted to timely industry discussions, and adjusted content based on performance reviews.
• Organized collaborations with AI/ML communities to expand newsletter visibility among relevant technical audiences.

Analyst, Research Assistant @ National Research University - Higher School of Economics (February 2020 - July 2021)

• Developed Python simulations to model group preferences and analyze manipulation effects in voting systems.
• Assisted in research projects on voting theory and decision-making, contributing to a grant-funded project supported by the Russian Science Foundation.
• Presented research findings at international conferences (GTM 2020, GTM 2021) and earned 2nd place at the HSE Student Research Competition for bachelor’s thesis.

Teaching Assistant on Mathematical Optimization @ National Research University - Higher School of Economics (September 2019 - December 2019)

• Led bi-weekly review sessions to help 90+ students understand lecture material and prepare for exams.
• Created study guides and practice problems that supported students in mastering key optimization concepts.

Skills

Core skills

• Technical Writing
• Content Strategy
• Research Synthesis
• AI/ML Content Writing
• Technical Documentation
• Long-Form Content
• Newsletter Writing
• Copywriting
• Case Study Development

Growth and analytics

• Organic Social Media Growth
• SEO Content Strategy
• Content Refreshes
• Performance Reporting
• KPI Tracking
• Lead-Generation Funnels
• Free-to-Paid Conversion
• Sponsorship Sourcing

Content operations

• Content Planning
• Editorial Roadmaps
• Content Repurposing
• Brief Development
• Editing and Quality Assurance
• Style Guide Development
• Writer Management
• Team Mentoring
• Cross-Functional Collaboration
• Sponsor Copy Adaptation

Tools

• Figma
• Substack
• Google Analytics
• GitHub
• Cursor
• v0

Technical literacy

• Python Automation
• OpenAI API
• Markdown
• Next.js Familiarity
• Git-Based Publishing
• Content Migration
• SEO Automation
• AI-Assisted Workflows

Domain expertise

• AI/ML Education
• Developer Education
• Data Education
• LLMs
• RAG
• Prompt Engineering
• AI Safety
• Red Teaming

Research Background

Before moving fully into content, I worked as a research assistant at the Higher School of Economics on voting systems and decision-making. That experience shaped how I approach technical writing now: start from the source material, understand the structure of the idea, and explain it without losing the important details.

Education

Yandex Practicum — Digital Marketing Specialist, Content Marketing (May 2025-Dec 2025)

Professional training in content strategy, audience and competitor research, content planning, promotion channels, project roadmaps, analytics, optimization, and client presentation.

Higher School of Economics — B.Sc. in Econometrics and Quantitative Economics (2017-2021)

Relevant coursework: microeconomics, macroeconomics, game theory, industrial organization, linear algebra, calculus, probability theory, statistics, econometrics, two-sided markets, and digital platforms.

Activities: internship at the International Laboratory of Game Theory and Decision Making; speaker at GTM2020 and GTM2021; teaching assistant for Mathematical Optimization.

Certifications

• Content Marketing, HubSpot Academy (Issued Aug 2024, expires Sep 2026)
• Keyword Research Course with Greg Gifford, Semrush (Issued May 2023)

Early Editorial Leadership

Co-Editor-in-Chief @ Nota Bene Journal (Nov 2019-Sep 2021)

Led a student publication about research and study-abroad opportunities: coordinated 5 teams and 20+ contributors, organized a project covering 10+ research and education labs, edited 30+ stories in Russian and English, interviewed academics including Eric Maskin and Hervé Moulin, and wrote SMM copy for journal materials and events.

Languages

• Russian: Native
• English: Full professional proficiency
• French: Conversational
• Spanish: Beginner
• Turkish: Beginner