Hi, I'm Ayush Dhiman

Software Engineer

I build efficient, scalable solutions with modern technologies. Passionate about backend optimization and creating impactful software.

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About Me

Get to know me, my background, and my professional journey

Software Engineer & Problem Solver

Hello! I'm Ayush Dhiman, a passionate Software Engineer with expertise in backend development, database optimization, and building scalable applications. I specialize in Java, Spring Boot, and SQL technologies.

With a Bachelor's degree in Computer Science from Vellore Institute of Technology, I've developed a strong foundation in software engineering principles and a knack for solving complex technical challenges.

My professional journey includes impactful roles at Infosys and General Electric, where I've optimized systems, improved efficiency, and delivered high-quality software solutions.

When I'm not coding, you can find me contributing to open-source projects, exploring new technologies, or solving problems on LeetCode.

Contact Me Download Resume

Work Experience

My professional journey and career milestones

June 2024 - Present

Technology Analyst

Infosys (General Electric Consultant)
  • Increased user efficiency by 30% by developing and optimizing a new module for GE Vernova’s product using PL/SQL, Java, and Spring Boot
  • Improved system usability and client satisfaction by designing and implementing 12 new backend features
  • Reduced data processing time by 20% by managing and converting large datasets into usable & relevant insights
July 2023 - Present

Software Engineering Specialist

General Electric (GE)
  • Achieved 25% performance improvement by deleting 85% of records from a 1.3 billion-entry table
  • Conducted in-depth analysis to identify deletable records, developed a streamlined API for deletion, and executed rigorous testing
  • Improved deletion efficiency through the implementation of a tracking table for transactional deletions
  • Analysed and resolved 12 production defects for the scheduling algorithm (built on Java)
  • Developed 3 features for the web application using Spring Boot and Angular
Jan 2023 - June 2023

Digital Technology Intern

General Electric (GE)
  • Attained 85% module coverage for the scheduling algorithm by creating 121-unit test cases
  • Increased reliability and maintainability through streamlining and refactoring the algorithm codebase
  • Rectified 35 bugs, resulting in an enhanced reliability rating from D to A
  • Addressed 80 blocker and 190 critical code smells
  • Mitigated 2 security vulnerabilities
June 2021 - Sep 2021

Software Development Engineer Intern

Greend India
  • Engineered, tested, and maintained 7 new features
  • Improved efficiency and reduced traffic calls by 5% through the resolution of 3 bugs
  • Accomplished 10% reduction in latency by initiating platform migration and configuration to AWS
  • Shifted WordPress images to S3 bucket
  • Shifted to AWS RDS

Technical Skills

Technologies and tools I work with

Languages

Java
JavaScript
TypeScript
SQL
PL/SQL
HTML5/CSS
Python
C++

Frameworks & Libraries

Spring Boot
Hibernate
Angular
Node.js
React
Flask

Databases & Tools

MongoDB
PostgreSQL
REST API
GraphQL
JUnit
Jasmine
Git

DevOps & Cloud

AWS
Docker
Kubernetes
Linux
CI/CD
SAFe Agile
Jenkins

Projects & Publications

Some of my notable work and contributions

Smart Child Monitoring System

A cost-effective and efficient IoT-based monitoring system, using ML model for child detection and safety. Merged with alert system and home automation features for easy control and remote access.

IoT Machine Learning Home Automation

Published in: International Journal of Advanced Research in Science, Communication and Technology (IJARSCT) Vol 2, Feb 22

View Publication

Detection of Pneumonia by Analyzing Chest X-Rays

Developed a full-stack web application using Flask, featuring RESTful API's using NoSQL - MongoDB. Detected Pneumonia afflicted patients by analyzing Chest X-Rays using Convolution Neural Network.

Flask MongoDB CNN

Accuracy: 95.3% using Convolutional Neural Network

Source Code

Backend Performance Optimization

Achieved 25% performance improvement by optimizing database operations on a 1.3 billion-entry table. Developed a streamlined API for deletion and implemented a tracking table for transactional deletions.

PL/SQL Java Spring Boot

Result: Deleted 85% of records while maintaining data integrity

Case Study

Get In Touch

Have a project in mind or want to connect? Let's talk!

Contact Information

Phone

+91 9892766260

Email

ayushdhiman101@gmail.com

LinkedIn

linkedin.com/in/ayushdhiman

GitHub

github.com/ayushdhiman

LeetCode

leetcode.com/ayushdhiman