GTV (Tech Nation) – Promise Route | Document Summary for Review

Stage 1
1

Hello everyone, I’m preparing my Tech Nation Global Talent Visa (Promise route) application and would appreciate an expert review of my MC/OC evidence and recommendation letters. I have 4+ years of experience in data and AI, 1.8 years in India and 2 years in UK(same employer in India & UK), combining ~3.8 years at MAANG as a Data Analyst / Senior Data Analyst, where I supported large-scale operational dashboards and AI monitoring systems in production environments.

1) :white_check_mark: Recommendation Letters (3)

     Letter 1 –(Novartis | ex-MAANG – AI/ML Ops Manager)**

  • Strong recommendation based on MAANG collaboration

  • Mentions:

    • CV pipeline improvements **(10–15% detection accuracy improvement)

    • AI voice based product, NLU diagnostics/monitoring contribution

    • Logistics monitoring dashboards

    • 40% reduction in manual operational effort

    • “Employee of the Year” recognition mentioned

         Letter 2 –  (Founder & Salesforce Architect) (Product &Service Based companies)

  • Mentoring/professional discussions

  • Highlights my work around:

    • high sensitivity pipelines
    • validation, audit readiness, monitoring mindset

Letter 3 – (COO / Co-founder )(Service Based company)

  • External professional capacity review of my work
  • Mentions my MAANG delivery dashboard review + system thinking

2) :white_check_mark: Mandatory Criteria (MC) Evidence

MC1: (Fintech-like customer product)**

  • I acted as lead technical authority / architect outside my employment (non-salaried advisory role)
  • Customer facing product (iOS + Android)
  • 10,000+ active customers
  • Claims of 300% revenue growth and multi-million USD annual revenue
  • Strong CSO reference letter confirms leadership + business impact

Mandatory Criteria 1 Evidense

:page_facing_up: Third-party reference letter (CSO):

Reference letter

MC 2: MC Supporting – NGO digitisation

  • Designed donation + stakeholder management ecosystem
  • Automated donation workflow + receipts + reporting + audit readiness
    Founder letter:

3) :white_check_mark: OC2 Evidence (Sector contribution / mentoring)

T-Hub Lab32 mentoring invitation (Data & AI Specialist / Mentor)

  • 4-month mentoring (Sep 2023 – Jan 2024), voluntary/unpaid
    :camera_flash: Screenshot evidence (invitation email): (shared as image)

  • Confirms I mentored 5 startups and reviewed 10+ data projects

  • Mentoring included:

    • architecture review
    • evaluation design
    • schemas, dashboards, repositories, use cases

**CIE / IIIT Hyderabad ecosystem engagement letter –

  • Describes my mentoring style, startup contribution, and involvement with AI Startup

Mentoring artefacts (AI Startup)

  • Advisory architecture + KPI guidance for CV SaaS workflow

4) :white_check_mark: OC3 Evidence (Impact in role – scale / business outcomes)

Delivery Performance Dashboard (Power BI) (mentioning my authority + my full name)

  • Dashboard shows:
    • 120K total parcels
    • delivery distribution + station failure reasons + worst routes
    • “Author: visible
      :page_facing_up:

Project

AI voice based product NLU Monitoring Evidence (quite famous voice assistant) (mentioning my authority + my full name)

  • Monitoring framework:
    • accuracy trend
    • fallback rate
    • volume monitoring
    • locale breakdown

OC3 Explanation write-up (mentioning my authority + my full name)

  • Governance framing + confidentiality explanation + dashboard significance

OC3 live Dashboard evidence (mentioning my authority + my full name)

Performance review document

  • “Exceeds High Bar” + “Role Model” leadership principles

5) :white_check_mark: Resume Summary

  • 4+ years Data/AI experience across Amazon + analytics/monitoring + Trust & Safety themes

@Raphael @Akash_Joshi @pahuja