# Viktoria Semaan (@viktoriasemaan) on youtube

- id: koinon:creator:youtube_viktoriasemaan
- url: https://koinonlink.com/kol/youtube/viktoriasemaan
- schema_version: 1.4

## Identity
- platform: youtube
- handle: viktoriasemaan
- platform_url: https://www.youtube.com/@viktoriasemaan
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 1800
- posts_observed: 1
- verified: false
- size_tier: nano

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- 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: 0.98
- category_source: derived_from_recent_content
- topics: AI model types and licensing differences, AI hardware accelerators (CPU/GPU/TPU/NPU), Practical AI skills and mastery, AWS and Bedrock agent implementations with Terraform, AI environmental/resource impacts, AI model limitations and fixes
- bio: I'm Viktoria Semaan, Principal Technical Evangelist at Databricks and former Senior Developer Advocate at AWS. I've spent years ...

## Audience (inferred)
- status: present
- description: AI developers and engineers focused on model selection, hardware infrastructure, and cloud-based AI implementations
- roles: dev
- seniority: practitioner
- pain_points: Deciding between proprietary, open-weight, and open-source models for projects, Selecting the right hardware accelerators (GPU/TPU/NPU) for AI workloads, Integrating AI tools with infrastructure-as-code workflows like Terraform on AWS, Handling unreliable AI behaviors such as sycophancy in production systems
- 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: 34
- authenticity_basis: profile_shape_only
- credibility_score: 34
- flagged_for_review: false
- koinon_bd_grade: C — 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
- [youtube_viktoriasemaan#b1c7b456] What is the difference between proprietary, open weight and open source models? (https://www.youtube.com/@viktoriasemaan)
- [youtube_viktoriasemaan#e6c20081] Best Advice from Jensen Huang | NVIDIA CEO
- [youtube_viktoriasemaan#2f01b67e] AI Sycophancy Explained: Why ChatGPT might be lying and how to fix it
- [youtube_viktoriasemaan#c5fc07f9] Skills you need for AI mastery
- [youtube_viktoriasemaan#7ff9e5a3] Is it true that ChatGPT consumes water? Learn how water is being used to cool data centers.
- [youtube_viktoriasemaan#9b4a3b6f] What is the difference between CPU, GPU, TPU and NPU? AI explained
- [youtube_viktoriasemaan#7469fc2d] Turn a Hand-Drawn AWS Diagram into Code with AI (Amazon Bedrock Agents + Terraform)

## 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=54, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=54, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=54, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=54, 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=54, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=54, 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=0.25, freshness_days=54, 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=54, 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=54, method=platform_profile

## Freshness
- profile_checked_days_ago: 54
- content_analysed_days_ago: 54
- audience_updated_days_ago: 54

## AI retrieval
- indexing_requests: 11
- 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=youtube_viktoriasemaan
- Request removal: https://koinonlink.com/claim?k=youtube_viktoriasemaan
- Terms: https://koinonlink.com/for-ai