Who is Eric Vyacheslav?

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Eric Vyacheslav: Engineering the Future of AI Conversations Through Technical Clarity

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Eric Vyacheslav is an AI/ML engineer with professional roots at Google and academic experience from MIT, bringing a deep technical foundation to his online presence. His background includes building and evaluating machine learning systems used in production environments. He is known for translating complex research topics—like transformer model performance or GPU benchmarks—into accessible, chart-backed insights. This balance of applied work and clear communication makes him stand out in the AI community.

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On LinkedIn, Eric focuses on tools and topics that directly affect the developer experience, such as inference efficiency, model hallucination, and dataset integrity. His posts often contain side-by-side comparisons of AI platforms (e.g., NVIDIA vs. Intel), analysis of model releases like ChatGPT variants, and original commentary on open-source tools. Unlike creators who echo press releases, Eric contextualizes performance data using his own experience and audience discussions. This specificity keeps his content technically grounded and trusted by fellow engineers.

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He frequently collaborates with technical brands like Galileo and Weaviate, providing public visibility to emerging platforms through high-density, practical content. Eric is also building a stealth startup, reinforcing his alignment with the builder community rather than purely content-focused influencers. His network includes respected names in AI tooling and vector search, indicating his deep integration in the infrastructure layer of the AI stack.

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Eric's audience is highly targeted—made up of developers, researchers, and product engineers working in applied AI. He avoids soft topics and focuses on resource sharing, benchmarking methodologies, and actionable discoveries in the AI/ML field. His growing reputation stems not from self-branding but from his technical accuracy and repeat value. His feed functions like a curated R&D thread, designed for daily utility in real engineering workflows.

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An Influencer Active on Social Media

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Eric Vyacheslav operates almost exclusively on LinkedIn, where he delivers high-density, technical content for professionals in AI, ML, and data science.

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Eric's Social Media Strategy Analysis

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LinkedIn: Where Code, Research, and Reach Intersect

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Eric Vyacheslav uses LinkedIn as a technical bulletin board for AI professionals, publishing around 20 highly specific posts per month. His content targets a developer and researcher audience, focusing on AI model performance, LLM tooling, and benchmark comparisons. He avoids generic thought leadership or personal storytelling, instead delivering platform evaluations and code-relevant breakdowns. Every post is structured with a clear takeaway tailored for engineers working in production environments.

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A signature element of Eric’s posts is the inclusion of charts, technical visuals, or GitHub references to support performance claims. He frequently compares leading hardware or software stacks—such as NVIDIA vs. Intel, or Hugging Face models vs. proprietary alternatives—providing unique angles that resonate with a tool-savvy audience. His writing assumes technical fluency and often includes metrics, latency benchmarks, or cost-per-token evaluations. This specificity makes his page a go-to for decision-makers in AI infrastructure.

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Eric’s engagement strategy relies on precision rather than volume. He prompts discussion with questions like “Which tokenizer would you trust in production?” or “What’s the best LLM evaluation metric today?” His comment sections often turn into peer-to-peer debates or recommendation threads, reinforcing his credibility among engineers. He doesn't chase vanity metrics—instead, he nurtures a following of high-signal professionals who build and evaluate at scale.

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Posting daily at 7 AM EST, he aligns with late-evening scrolling habits of U.S.-based engineers. Over the past 30 days, he has grown by +10.5K followers and reached 302K views/month. His engagement rate (0.48%) reflects the analytical, niche audience he serves. With a content score of 93.1/100 and 1.7K average engagements, Eric’s presence on LinkedIn is one of the most technically focused among AI influencers globally.

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• Username: @ericvyacheslav156273169
• Influence Score: 8,405 pts
• Followers: 350K
• Activity: 20 posts/month
• Engagement Rate: 0.48%
• Growth: +3.11%
• Average Engagement: 1.7K
• Posting Habits: Every day at 7 AM EST

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Eric Vyacheslav's Social Media Influence Summary

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Eric Vyacheslav holds a Favikon Influence Score of 8,405 points, placing him in the Top 1% for both LinkedIn U.S. (#50) and worldwide (#167). In the AI & Machine Learning category, he ranks #21 in the U.S. and #58 globally, underscoring his influence within one of the most competitive digital sectors.

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Learn more about the Favikon Methodology here

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Content Strategy: Technical Depth Over Personal Branding

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Eric’s strategy is rooted in analytical clarity. His posts rarely include personal narratives or general commentary. Instead, he shares side-by-side comparisons of chipsets, AI performance metrics, and architectural improvements, often accompanied by charts or visuals tailored to engineers. He consistently tags brands like Galileo and Bland—products focused on AI observability and tooling—without using flashy language or marketing fluff. This approach builds trust with technical audiences who reject hype. His tone is confident but empirical, often backed by citations or GitHub references. The content cadence—roughly five posts a week—keeps his audience updated without overwhelming them. The core of his strategy is high relevance: every post offers a takeaway for someone building, scaling, or researching in AI. He doesn’t share tutorials—he shares strategic insights engineers can build on.

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Reachability and Partnerships

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Eric Vyacheslav is highly reachable through his active LinkedIn presence, where he maintains daily posting and engages directly with technical professionals in comment threads. He regularly interacts with engineers and founders in the AI tooling space, offering precise feedback or expanding on model performance questions. His partnerships with Galileo and Weaviate indicate a selective approach—he collaborates only with platforms that offer utility to AI researchers or model evaluators. His content cadence allows consistent entry points for B2B campaign tie-ins or product visibility.

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He is best suited for partnerships involving LLM infrastructure, vector databases, and evaluation tooling. With an audience of 350K AI practitioners, his reach is well-aligned for high-trust product endorsements or launch announcements. His estimated rate of $3K–$3.7K per post reflects a premium placement in one of the most technical B2B niches. For AI companies needing influence among engineers—not general users—Eric offers qualified access and technical alignment.

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Conclusion: Trusted by Builders, Respected by Experts

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Eric Vyacheslav is not a generalist influencer—he’s a reference point for serious AI practitioners. With over 350K LinkedIn followers and a Top 1% ranking in both LinkedIn and AI-specific categories, his voice carries weight in conversations that shape product roadmaps, research focus, and developer workflows. He’s a partner of choice for high-trust, high-context campaigns and a creator who leads with technical clarity, not trend-driven noise.

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