# Amz Choudhury (@amzchoudhury) on tiktok

- id: koinon:creator:tiktok_amzchoudhury
- url: https://koinonlink.com/kol/tiktok/amzchoudhury
- schema_version: 1.4

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

## Reach
- followers: 3870
- following: 119
- 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: fintech
- category_confidence: 0.65
- category_source: derived_from_recent_content
- topics: HealthTech career switches for doctors, Job postings and hiring in digital health, Networking and CV strategy without quitting NHS, Startup founder learnings and customer meetings, Industry opportunities for HCPs (Pharma, MedTech, VC-backed 
- bio: 👨🏽‍⚕️Doctor & VC-backed Founder 
I share learnings & industry Opportunities for HCP's
✉️ [contact removed]

## Audience (inferred)
- status: present
- description: Healthcare professionals (doctors, GPs, consultants) seeking to transition into HealthTech, startups or industry roles without fully quitting clinical work
- roles: none
- seniority: practitioner
- pain_points: Applications get ghosted with no feedback on how careers actually work, Hard to gain startup or industry experience while still in clinical roles, Limited visibility into real HealthTech job opportunities and hiring processes, Uncertainty around networking, CV building and side routes into non-clinical careers
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.1
- promotion_intent: 0.1
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 39
- authenticity_basis: profile_shape_only
- credibility_score: 39
- 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
- [tiktok_amzchoudhury#f640f72a] Let’s push the bar up not race to the bottom.  #healthcareworker #doctorsoftiktok #healthtech #nhs #medtok (https://www.tiktok.com/@amzchoudhury)
- [tiktok_amzchoudhury#0bec14f2] Rising
- [tiktok_amzchoudhury#bcc92092] It is a becoming a big trend on TikTok now! Click here: healthcareworker
- [tiktok_amzchoudhury#47f97fea] Check out Amz Choudhury’s video! #TikTok >
- [tiktok_amzchoudhury#6b7e645e] Search:
- [tiktok_amzchoudhury#fe121e6f] rolex lanyard doctor
- [tiktok_amzchoudhury#08c0d90b] Comment HealthTech and I’ll send you the link!  #doctorsoftiktok #healthcareworker #healthtech #digitalhealthcare #careerswitch
- [tiktok_amzchoudhury#1af0a030] Emotion and calm

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

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=57, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=57, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=57, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=57, 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=57, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=97, 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=57, 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=97, 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=97, method=platform_profile

## Freshness
- profile_checked_days_ago: 97
- content_analysed_days_ago: 57
- audience_updated_days_ago: 57

## 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=tiktok_amzchoudhury
- Request removal: https://koinonlink.com/claim?k=tiktok_amzchoudhury
- Terms: https://koinonlink.com/for-ai