# Denys Linkov (@denyslinkov) on x

- id: koinon:creator:x_denyslinkov
- url: https://koinonlink.com/kol/x/denyslinkov
- schema_version: 1.4

## Identity
- platform: x
- handle: denyslinkov
- platform_url: https://twitter.com/denyslinkov
- country: Canada
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 538
- following: 609
- posts_total: 1086
- posts_observed: 8
- posts_per_day: 0.324
- account_age_days: 3351
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00372
- best_post_interactions: 2
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: software
- subcategory: ai_tools
- category_confidence: 0.91
- category_source: derived_from_recent_content
- topics: Large language models (LLMs) and MoE architectures, Generative AI engineering in practice, ML education and industry-academia collaboration, Real-world ML deployment with human-in-the-loop systems
- bio: ML @Wisedocsai, Teaching ML Eng @UofT

## Audience (inferred)
- status: present
- description: Machine learning engineers and graduate students in Toronto, especially those interested in applied ML and generative AI engineering
- roles: dev
- seniority: practitioner
- pain_points: Struggling to keep up with rapid advancements in large language models and MoE architectures, Finding it hard to bridge academic knowledge with real-world ML engineering practices, Lacking access to hands-on, industry-relevant ML projects and mentorship from experienced practitioners
- posts_analysed: 7
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.8
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 45
- authenticity_basis: engagement_observed
- credibility_score: 45
- flagged_for_review: false
- koinon_bd_grade: B — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [x_denyslinkov#51f09be8] It's fun working on the frontier, we achieved some exciting results by combining our Human reviewers with a new QA Agents system, with document reviewers being able to achieve 50% faster audits on a given file and catch 30% more mistakes compared to the human baseline. https://t. (https://twitter.com/denyslinkov/status/2046341483767492853)
- [x_denyslinkov#cccaf384] Thank you to our guest speakers who spoke at @UofT CSC490 course (ML in Industry), you made a big difference for students' learning! @1vnzh @jeffwang @carloarg02 @cwolferesearch @bestkarthus @devanshtandon_ https://t.co/rOocu6g0eF
- [x_denyslinkov#42723745] Deep seek v4 is out! 1m context length, strong MoE across a pro size (1.6T / 49B active) and smaller size (284B / 13B active) https://t.co/iZU4UTGuF0
- [x_denyslinkov#e486d409] Ivan is a pillar of the Toronto ML community, a pleasure to have him share his story with students !
- [x_denyslinkov#dbd8016e] We ran a new ML + Gen AI engineering course this semester at @UofT. One of the pillars of the course was guest lec

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=80, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=80, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=117, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.5, freshness_days=80, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=117, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=117, method=platform_profile

## Freshness
- profile_checked_days_ago: 117
- content_analysed_days_ago: 80
- audience_updated_days_ago: 20

## AI retrieval
- indexing_requests: 10
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=x_denyslinkov
- Request removal: https://koinonlink.com/claim?k=x_denyslinkov
- Terms: https://koinonlink.com/for-ai