---
title: "Nayan Dubey - Associate software development engineer in Gurugram | Tal"
description: "Meet Nayan Dubey, SDE Intern @ Swiggy | MTech CS @ DTU | Java · C++ · Python | Backend · Systems · GenAI based in Gurugram. AI stack includes antigravity and codex."
image: "https://tal.club/meet/nayan-dubey/share-image"
---

# Nayan Dubey on Tal

## Headline

SDE Intern @ Swiggy \| MTech CS @ DTU \| Java · C\+\+ · Python \| Backend · Systems · GenAI

## About

Software engineer with production experience at Swiggy \(millions of DAU\) and a strong foundation in systems programming, backend development, and AI/ML\. My work spans: \- iOS/mobile modularization and feature delivery at Swiggy \(In\-App Browser, shipped to production\) \- Systems programming — Linux kernel, POSIX IPC, multithreading, cache simulators in C/C\+\+ \- GenAI/ML — RAG pipelines, LangChain, FastAPI microservices, bias\-aware prompt engineering \- Full\-stack — React, Node\.js, Next\.js, Spring Boot, Kafka, Redis

## Location

Gurugram

## AI stack

antigravity

codex

## Work experience

Associate software development engineer at Swiggy, Jan 2026 \- Jul 2026 · 7 mos, Bengaluru, \- Modularized 10\+ menu UI components into an isolated library \(ComponentsLibFood\), reducing inter\-module coupling and enabling independent development across verticals \- Architected a protocol\-based factory split with dummy defaults, achieving clean isolation without breaking existing conformers \- Shipped In\-App Browser with gate\-controlled deeplink fallback — live on production serving millions of daily active users \- Deprecated Visa One Click \(VIES\) end\-to\-end — removed feature code, dead assets, SDK dependency, reducing binary size and payments module debt

Associate Software Engineer at GlobalLogic, Jul 2023 \- Jun 2024 · 1 yr, Gurugram, \- Built data extraction and transformation pipelines in Python and JavaScript interfacing with third\-party REST APIs, designed for reliability and low latency at scale \- Architected modular, reusable pipeline components with strict layering — each stage independently testable, reducing cross\-module coupling \- Profiled and optimized end\-to\-end data processing workflows, identifying bottlenecks and improving data accuracy across production runs

Training and placements representative at Kamla Nehru Institute of Technology, Sultanpur, Apr 2021 \- Oct 2021 · 7 mos

## Education

Master's degree, Computer Science, Delhi Technological University \(DTU\)

B\.tech, Information Technology, Kamla Nehru Institute of Technology, Sultanpur

[View the original profile](https://tal.club/meet/nayan-dubey)

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