# Shah_Raza (@shah_raza_) on tiktok

- id: koinon:creator:tiktok_shah_raza_
- url: https://koinonlink.com/kol/tiktok/shah_raza_
- schema_version: 1.4

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

## Reach
- followers: 12161
- following: 246
- posts_observed: 3
- verified: false
- size_tier: koc

## 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: devtools
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Resume hacks for FAANG/big tech internships, Explaining CS concepts simply (CPU, RAM, ML, API, AGI), Real vs fake programming languages and career role breakdown, Women in STEM communities and programs, Breaking into tech without a degree or perfect routine, Resume roasts and entry-level job realities

## Audience (inferred)
- status: present
- description: College and high school students (mostly CS majors) trying to break into tech internships and big tech roles, plus some women in STEM
- roles: dev, general_ai
- seniority: learner
- pain_points: Getting big tech names (Meta, OpenAI, NVIDIA, Tesla) on their resume with no experience, Figuring out what actual roles like PM, Data Engineer, or Cybersecurity Analyst do day-to-day, Finding legitimate free programs, fellowships, and resume reviews instead of paid courses, Breaking into tech without a CS degree or traditional background
- posts_analysed: 100
- confidence: 0.9

## Commercial (inferred)
- audience_buyer_fit: 0.3
- promotion_intent: 0.2
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 45
- authenticity_basis: profile_shape_only
- credibility_score: 45
- 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.

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

- audience.description: source_type=ai_inferred, confidence=0.9, freshness_days=85, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.9, freshness_days=85, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.9, freshness_days=85, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=n/a, 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=n/a, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=55, 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=55, 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=55, 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=55, method=platform_profile

## Freshness
- profile_checked_days_ago: 55
- audience_updated_days_ago: 85

## AI retrieval
- indexing_requests: 9
- 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=tiktok_shah_raza_
- Request removal: https://koinonlink.com/claim?k=tiktok_shah_raza_
- Terms: https://koinonlink.com/for-ai