Demographics
* Nationality / Gender: Indian Male
* Age: 27 now
Academic Background
* Undergrad: B.E. Computer Science & Engineering, Maharaja Sayajirao University (Tier 2–3 in India)
* GPA: 3.82 / 4.0
* GMAT Focus Edition: Planning to give GMAT
Professional Experience
1. Tiger Analytics — Full-Stack Developer (Mar 2022 – Present)
* Partnered with PepsiCo for one year: built cloud-migration and data-synthesis pipelines that fed enterprise dashboards, enabling faster commercialization insights.
* Since 2023, core engineer on Tiger’s flagship AI demo platform; designed ML-driven modules that cut client turnaround times by ~70 %. Platform success helped Tiger win several Fortune 500 data-transformation contracts.
* One promotion; collaborate in a 10-person agile squad. Influence > authority—no direct reports yet, but own multiple product features end-to-end.
2. Nubrix (US Startup) — Contract Full-Stack Engineer (Feb 2023 – May 2025, concurrent)
* Led build-out of payments and appointments portals, PDF-chat AI, and insurance-claims processing tools.
* Delivered customer-facing features single-handedly, accelerating go-to-market and supporting new-client acquisition.
3. PGP Glass (Blackstone PE portfolio) — Azure Data Engineer (Oct 2020 – Mar 2022)
* Digitized production-line data flows for a global glass manufacturer; analytics solutions drove multi-million-dollar cost savings and higher plant yield.
* First role post-graduation; recognized for rapid ramp-up on Azure stack and cross-functional stakeholder management on shop-floor projects.
Leadership & Extracurriculars
* AIESEC Baroda (2016-18): Two-year tenure, final year as Vice President — Incoming Exchanges. Raised two corporate partners (≈ 20 global internship slots) and headed experience management for international interns.
* Current-Affairs Enthusiast: Track technology policy, digital-economy trends, and Indian start-up ecosystem; participate in online policy forums and write occasional LinkedIn pieces.
Target MBA Programs
INSEAD | Cambridge Judge | Oxford Said | Imperial College | LBS | NUS | NTU | Kellogg | Chicago Booth | Yale SOM | NYU Stern | Columbia
Career Goals
* Short-Term: Pivot to Product Management within Big Tech (Google / Microsoft) or a high-growth AI-first scale-up, leveraging full-stack and data-engineering background to guide customer-centric product roadmaps.
* Long-Term: Launch or lead a product-led business unit focused on AI-powered data platforms and prior consulting experience to bring transformative tech products to market.
PS: I would also appreciate insights into what would be considered a competitive or safe GMAT Focus Edition score for my target schools, particularly in the context of strengthening my overall profile relative to their GMAT expectations.