Drishti Kapoor profile photo 1 on Tal

Drishti Kapoor

Engineering @vegapay | ex- Microsoft | ex - Amazon

Delhi

4+ years of work experience

Vegapay
Apr 20267 mosPresent

Microsoft
Apr 20241 yr 9 mosDec 2025

Noida, Uttar Pradesh, India

Fi
Jan 20243 mosMar 2024

Bengaluru, Karnataka, India

Amazon
Jan 20221 yr 8 mosAug 2023

Bengaluru, Karnataka, India

Amazon
May 20213 mosJul 2021

Bengaluru, Karnataka, India

Drishti’s AI Stack

claude code
claude code
codex
codex
cursor
cursor
gemini
gemini
kiro
kiro
railway
railway

Education

Indira Gandhi Delhi Technical University for Women

Master of Computer Applications - MCA, Computer Science

Indira Gandhi Delhi Technical University for Women

20193 yrs2022
Udacity

Machine Learning Engineer Nanodegree

Udacity

20202020

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Headline

Engineering @vegapay | ex- Microsoft | ex - Amazon

About

I am a Full Stack Software Engineer with 3 plus years of experience building scalable, secure, and high impact distributed systems across Big Tech and high growth fintech environments. My work focuses on backend heavy system design, cloud native services, and developer facing platforms, with a strong emphasis on reliability, security, and operational excellence. I currently work at Microsoft, where I design and ship security aware systems in isolated cloud environments. I led the development of an approval based framework for Azure Virtual Enclaves that governs resource lifecycle events through role based authorization. This work was later patented. In addition to implementation, I authored onboarding documentation and drove cross team adoption across multiple teams, earning the ES IDC Spot Award for measurable impact and execution. I have also worked on AI assisted tooling for Azure Build Health, building test annotation infrastructure and prototyping an auto reply agent aimed at reducing manual triage effort by approximately 25 percent. Previously, I worked at Epifi Technologies, where I designed and implemented scalable backend systems for the Fi Salary Program. My work focused on improving reliability, performance, and correctness across payroll linked transactional workflows operating at scale. Before that, I was part of Amazon, working across multiple organizations and problem domains. I built region based dynamic pricing services for Amazon Pharmacy, developed seller fulfillment integrations, and designed APIs for inventory audit and reconciliation tools to improve data visibility. I also built automation tooling, including a Smart Trouble Ticketing Bot that reduced on call investigation time by around 30 minutes per ticket and won first place at the SF SC Hackathon. Earlier in my career, I built internal tools that saved engineering effort and improved observability pipelines using AWS RUM. Technically, I am strongest in Java and backend system design, with hands on experience in microservices, CI CD, and cloud infrastructure on Azure and AWS. I value clean architecture, clear ownership, and systems that scale not only in traffic but also in maintainability and team adoption. I am motivated by solving ambiguous problems, owning systems end to end, and building platforms that other engineers can trust and build upon. Tech stack: Java, C++, JavaScript, TypeScript, Node.js, React, NestJS, Spring, Azure, AWS, DynamoDB, MySQL, Microservices, System Design.

Location

Delhi

AI stack

claude code

codex

cursor

gemini

kiro

railway

Work experience

SDE 2 at Vegapay, Apr 2026 - Present · 7 mos

Software Engineer (IC2) at Microsoft, Apr 2024 - Dec 2025 · 1 yr 9 mos, Noida, Uttar Pradesh, India

Software Engineer at Fi, Jan 2024 - Mar 2024 · 3 mos, Bengaluru, Karnataka, India

SDE 1 at Amazon, Jan 2022 - Aug 2023 · 1 yr 8 mos, Bengaluru, Karnataka, India

SDE Intern at Amazon, May 2021 - Jul 2021 · 3 mos, Bengaluru, Karnataka, India

Education

Master of Computer Applications - MCA, Computer Science, Indira Gandhi Delhi Technical University for Women

Machine Learning Engineer Nanodegree, Udacity