---
title: "Paras Aghija - SDE 2 in New Delhi | Tal"
description: "Meet Paras Aghija, Engineering @Swiggy Instamart | Ex-MorganStanley | CSE @JIIT 23’ based in New Delhi. AI stack includes antigravity, codex, and cursor. Explore public work links including github."
image: "https://tal.club/meet/paras-aghija/share-image"
---

# Paras Aghija on Tal

## Headline

Engineering @Swiggy Instamart \| Ex\-MorganStanley \| CSE @JIIT 23’

## About

I’ve always been that tech geek who’s genuinely pumped about discovering new technologies and seeing how far they can go\. From crafting sleek microservices and automating workflows to designing APIs that make data move like magic, I’m all about finding smarter, more efficient ways to solve problems\. With a skill set spanning Java, Python, Spring Boot, Kafka, and Power Platform, I love building solutions that don’t just work—they scale\. Automation, microservices architecture, and API development are where I thrive, but pushing boundaries is my true passion\. For me, tech should be as exciting as it is powerful, and I enjoy teaming up with others who want to make real, impactful change\. Ready to dive into the next big thing? Let’s make it happen\!

## Location

New Delhi

## AI stack

antigravity

codex

cursor

## Work experience

SDE 2 at Swiggy, Apr 2026 \- Present · 5 mos

SDE 1 at Swiggy, Dec 2024 \- Mar 2026 · 1 yr 4 mos, Bengaluru, Building Instamart \!\!

Technology Associate at Morgan Stanley, Jan 2024 \- Dec 2024 · 1 yr, Bengaluru, Karnataka, India, Contributed to a team\-leading Power Platform adoption, collaborating on developing Spring Boot microservices for seamless integration with on\-premises systems\. Established bidirectional communication channels between Power Platform and on\-premises systems using Dataverse APIs, Custom Connectors, Kafka, and DB integrations with on\-prem data\(Snowflake, DB2, Sybase\)\. Configured CI/CD pipelines with Jenkins and Docker, ensuring efficient deployment and maintaining code quality\. Developed a plugin in DotNet to extract data from any invoice \(structured\) based on a JSON configuration, used for data extraction purposes\. Engineered a model\-driven application on Power Platform for invoice processing, leveraging AI Builder for automation\., which automated 40% of manual Brokerage Invoice Processing Tasks\. Assisted in organizing a Power Platform Hackathon and played a key role in creating/maintaining detailed documentation on Power Platform usage at Morgan Stanley, promoting innovation, collaboration, and knowledge sharing across the organization\.

Technology Analyst at Morgan Stanley, Aug 2023 \- Jan 2024 · 6 mos, Bengaluru, Karnataka, India

Technology Analyst Intern at Morgan Stanley, Jan 2023 \- Jul 2023 · 7 mos, Mumbai, Maharashtra, India

Frontend Developer at InfuzeX Ventures, Jun 2022 \- Jul 2022 · 2 mos

Android Developer at Appcilious Pvt\. Ltd, Aug 2020 \- Oct 2020 · 3 mos

## Education

Bachelor of Technology \- BTech, Computer Science, jaypee institute of information technology

St\. Geroge's School, New Delhi

## Public links

- github: https://github\.com/paras\-aghija

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

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