Innovative Full-stack developer with extensive experience in web development. I am currently
pursuing a Master’s in Computer Science at the University of Cincinnati. Proficient in Angular,
React, Node.js, MongoDB, and AWS. At Akrivia Automation, I led a team to enhance module
performance by 65% and improve overall efficiency. Expert in developing GraphQL APIs and
leveraging AWS for secure operations. Committed to delivering cutting-edge solutions and
driving technological innovation.
Overview
4
4
years of professional experience
5
5
years of post-secondary education
Work History
Software Development Engineer
Akrivia Automation
07.2019 - 07.2023
Leveraged expertise in Angular, Node.js, Express.js, NestJS, MySQL, MongoDB, and AWS to develop advanced HCM features
Created comprehensive reports and analytics modules, boosting decision-making speed for senior management by 25%
Set team goals and metrics using Agile methodologies
Handled reports, forms, analytics, and module enhancements
Improved module efficiency, data quality, operability, and flexibility within deadlines
Deployed AWS technologies:
AWS S3 for secure file uploads and downloads
AWS SNS for email tracking
AWS SQS and Lambda for bulk uploads, reducing latency by 40% and boosting operational efficiency
Integrated Apache Kafka for real-time data processing and enhanced system scalability
Boosted module performance by 65% through strategic code optimization
Engineered and optimized GraphQL APIs, enabling 40% faster data retrieval and updates; streamlined backend processes, resulting in a 25% reduction in server response time and enhancing user experience
Reduced database query times by 50% through indexing and query optimization
Enhanced application load times by 45% through front-end performance tuning
Implemented Redis for caching, improving data retrieval times by 40%, and utilized Redis
Streams for queuing, improving system efficiency by 30%
Implemented automated testing, reducing bugs by 35% and improving release cycles
Streamlined CI/CD processes, result in a 60% faster deployment pipeline
Developed and maintained unit test cases, improving code reliability and reducing defects by 25%.
Worked effectively in fast-paced environments.
Self-motivated, with a strong sense of personal responsibility.
Projects
Akrivia HCM
07/2019 - 06/2020
Reports and Analytics Module: Data display in dashboards
Led the reports and analytics team, conducting sprint meetings for timely completion.
Developed and maintained efficient GraphQL APIs for data retrieval and updates.
Utilized AWS S3 for secure file uploads and downloads, enhancing data security.
Akrivia HCM
07/2020 - 07/2023
Payroll and Final Settlement Module: Employee payroll processing
Led a 5-member team to develop and maintain payroll and final settlement modules.
Developed and maintained the payroll module of HCM, owning taxation and flexible benefits
planning for Indian, UAE, and Indonesian clients.
Planned and developed user-friendly interfaces for simplified management.
Reduced payroll runtime from 10 to 2 minutes by optimizing time-consuming fetching APIs.
Education
Master of Science - Computer and
Information Sciences
University of Cincinnati
Cincinnati, OH
08.2023 - 12.2024
Bachelor of Science - Computer Science And Engineering
Raghu Engineering College
India
07.2017 - 06.2021
Skills
Angular
Nodejs
React
MySQL
MongoDB
NestJs
Redis
PostgreSQL
Expressjs
GraphQL
Kafka
AWS Lambda
AWS S3
AWS SNS
AWS SQS
CI/CD
Code Optimization
Agile
Unit Testing
OAuth
Restful APIs
Jenkins
Docker
Microservices
Jira
Git
Problem Solving
Kubernetes
UI/UX
ElasticSearch
Teamwork
Serverless
Power BI
AWS EC2
Javascript
Typescript
Java
Bitbucket
Azure
Accomplishments
Udemy certification in ReactJS, Angular
Node.js and MySQL
Certified in NPTEL Python, DBMS and C
Work Preference
Work Type
Full TimeInternshipContract Work
Work Location
RemoteOn-SiteHybrid
Timeline
Master of Science - Computer and
Information Sciences
University of Cincinnati
08.2023 - 12.2024
Software Development Engineer
Akrivia Automation
07.2019 - 07.2023
Bachelor of Science - Computer Science And Engineering