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Aditya AgarwalAA
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Aditya Agarwal

@adityaagarwal13

Software engineer building production healthcare apps, boosting performance, and cutting API response times with React and PostgreSQL.

India
Message

What I'm looking for

I’m looking to build and own end-to-end web features—performance wins, faster APIs, and reliable deployments—collaborating closely with product, design, and QA in an Agile team.

I build and maintain production-grade healthcare applications at Livlong 365 (IIFL), spanning customer-facing and internal platforms with React, Next.js, Node.js, Express.js, and PostgreSQL/MS SQL Server.

On the homepage, I improved Google Lighthouse performance from 65+ to 90+ using image optimization, lazy loading, code splitting, and Next.js performance tweaks.

I’ve also reduced API response times by up to 50% by optimizing database queries, adding efficient indexing strategies, and minimizing redundant database operations in PostgreSQL and MS SQL Server.

I own features end-to-end—from requirement gathering and implementation through deployment and production support in Agile sprints—and I use Cursor IDE to speed up development, debugging, and code review.

Experience

Work history, roles, and key accomplishments

LI
Current

Software Engineer

Livlong 365 (IIFL)

Jul 2024 - Present (2 years 2 months)

Developed and maintained production-grade healthcare applications using React, Next.js, Node.js, Express.js, PostgreSQL, and MS SQL Server. Improved Google Lighthouse performance score from 65+ to 90+ and reduced API response times by up to 50%.

Education

Degrees, certifications, and relevant coursework

Jaypee University of Engineering and Technology logoJT

Jaypee University of Engineering and Technology

Bachelor of Technology, Computer Science and Engineering with Artificial Intelligence and Machine Learning

2020 - 2024

Grade: 8.6 CGPA

Activities and societies: Relevant Coursework: Data Structures and Algorithms, DBMS, Computer Networks, Operating Systems, Object Oriented Programming, Probability Theory, Logical and Quantitative Analysis, Software Engineering

B.Tech in Computer Science and Engineering with Artificial Intelligence and Machine Learning with a CGPA of 8.6.

KI

KDMA International

12th CBSE, General

2019 - 2020

Grade: 95%

12th CBSE with a percentage of 95%.

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