Overview
Work History
Education
Skills
Accomplishments
Timeline
Generic

Mohana Bukkineni

Hyderabad,Telangana

Overview

2
2
years of professional experience

Work History

Member Technical

ADP Private Limited
08.2022 - 12.2024
  • Operated within the WFN Products Implementation Department, contributing to frontend and backend development.


Key Duties and Contributions:

  • Engineered and sustained Payroll Processing applications using Spring Boot (backend), Java (business logic), and Redux (frontend), improving system efficiency by 30% and enhancing user interaction across HR modules.
  • Enhanced REST APIs to ensure secure and efficient data exchange, utilizing microservices architecture for streamlined application communication.
  • Optimized database operations with Oracle SQL, reducing query execution time by 25% and ensuring scalability for handling thousands of payroll transactions daily.
  • Executed front-end features with the MDF framework, elevating user experience and interface design.
  • Facilitated Launchpad, Reporting, and WFN products, enhancing HR and payroll processing while supporting data-driven business insights.

Education

Bachelor of Science - BTech in Computer Science & Technology

Teegala Krishna Reddy College of Engg & Tech
Hyderabad, India
08-2022

Skills

  • Programming Languages: Spring Boot, Core Java, Typescript, HTML, CSS, Bootstrap
  • Technologies: Redux, RESTFUL APIs, Micro Services, Oracle SQL
  • Tools: Spring Tool Suite, VS Code, Oracle SQL, Tortoise Git
  • Other Skills: Bitbucket, Splunk, Kafka, Agile, Jira, Jenkins
  • Soft Skills: Communication, friendly, positive attitude, teamwork, problem-solving and collaboration

Accomplishments

    Projects:

  • Travel Website: This project is a dynamic travel management website, which contains photos of different destinations, where a user can see the famous destinations & it's great history. This project is developed using Basic HTML, CSS, Bootstrap as the frontend.
  • Non Frontal Facial Expression Recognition Based on Salient Features:

    • The problem of determining how to use face information in human-computer interaction has been investigated for several years. We contend that the salient facial patches method should be applied for both frontal and non-frontal facial expression recognition. We followed PSFP Algorithm for non-frontal facial expression recognition.

Timeline

Member Technical

ADP Private Limited
08.2022 - 12.2024

Bachelor of Science - BTech in Computer Science & Technology

Teegala Krishna Reddy College of Engg & Tech

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Mohana Bukkineni