Summary
Overview
Work History
Education
Skills
Certification
Projects
Timeline
Generic

Akhila P

Edison,NJ

Summary

Motivated professional with 4 years of experience offering expertise in HTML5, CSS3, JavaScript, and jQuery with experience in developing, design, analysis, testing of various web based, SOA based and client/server applications in multi-platform environments with JAVA/J2EE technologies, Involved in all phases of Software Development Life Cycle (SDLC).

Overview

7
7
years of professional experience
1
1
Certification

Work History

Software Developer

Freddie Mac
2023.05 - Current
  • Developed dynamic and responsive user interfaces for multiple web applications using Angular, JavaScript, HTML5, and CSS3, focusing on creating intuitive and engaging user experiences
  • Enhanced user experience through designing and implementing user-friendly interfaces.
  • Increased development speed by automating repetitive tasks using scripts and tools.
  • Integrated Cucumber with Spring Boot applications to write and execute behavior-driven development (BDD) tests, ensuring features met business requirements
  • Utilized JMeter to perform API performance testing, ensuring backend systems met performance criteria and could handle expected load, contributing to system reliability and fast data processing
  • Implemented state management patterns and AJAX calls for seamless data updates without page reloads, enhancing application interactivity and performance
  • Contributed to the development of AWS Lambda functions for a large-scale data processing application, writing code in Python to aggregate and transform data stored
  • Architected and deployed an event-driven system using Apache Kafka to handle real-time data streams
  • Implemented JWT-based authentication and authorization mechanisms, securing user data and personalizing user experiences
  • Developed and maintained SQL and NoSQL databases (PostgreSQL and MongoDB), optimizing data storage and access patterns for high-performance web applications.

Java Developer

MIT Group
2022.09 - 2023.03
  • Developed and upheld full-stack applications for the Transparency team, employing Typescript, React, and Java
  • Implemented automated build processes using continuous integration tools, reducing deployment times and human errors.
  • Partnered cross-functionally to devise and deploy scalable software solutions, fostering team success
  • Deployed the application on AWS, utilizing EC2 instances and S3 buckets for hosting and storage, achieving high availability and scalability
  • Designed and implemented RESTful APIs using Node.js and Express.js, ensuring efficient data handling and server-side logic
  • Developed dynamic and responsive front-end interfaces using React.js and Redux for state management, enhancing user engagement through intuitive navigation and real-time updates
  • Employed MVC architecture, RESTful principles, and CRUD operations, focusing on clean, maintainable code
  • Designed and implemented RESTful APIs for internal and external services integration, employing Java with frameworks like Spring MVC for routing and response handling
  • Conducted unit testing with JUnit to ensure application reliability and accuracy of financial calculations.

Software Developer

Workcog
2020.10 - 2021.03
  • Participated in the full software development lifecycle, from requirement analysis to deployment, under the guidance of senior developers
  • Assisted in the development of RESTful APIs for a mobile application, improving data retrieval speed and user experience
  • Contributed to the continuous integration/continuous deployment (CI/CD) pipeline, gaining experience with automation tools like Jenkins
  • Engaged in sprint planning and daily stand-ups, applying Agile methodologies to ensure timely delivery of project milestones
  • Participated in code reviews and adopted best coding practices under the mentorship of senior developers.

System Analyst Intern

Concentrix
2017.08 - 2019.08
  • Developed complex SQL queries and utilized BI tools like Power BI and Tableau for data analysis
  • Involved in migrating of on-premises infrastructure to AWS resulting in improved scalability and a 30% reduction in operational costs
  • Automated routine administrative tasks using scripting languages (PowerShell, Bash), increasing team productivity and system reliability
  • Integrated of new software applications with existing systems, utilizing RESTful APIs and middleware solutions to ensure seamless data exchange
  • Refined the database queries to achieve a 30% optimization
  • Collaborated with front-end developers to ensure seamless integration and efficient data transfer between the server and client side.

Education

Master of Science - Information Technology

Sacred Heart University
Connecticut
08.2022

Bachelor of Technology - Computer Applications

Osmania University
Hyderabad
06.2017

Skills

    • Programming Languages: JavaScript, Python, TypeScript, Java
    • Web Development: HTML, CSS, React, Angular, Node.js
    • Databases: MySQL, PostgreSQL, MongoDB
    • Back-end Development: Express.js,Spring Boot, Spring MVC, Hibernate, .Net
    • Testing Tools: JUnit, Jasmine, Mockito
      • Cloud Technologies: AWS, Azure
      • Version Control: Git, SVN
      • Data Visualization: Matplotlib, Tableau,Power BI
      • Concepts: Microservices Architecture, RESTful API Designs, Responsive Web Design
      • Machine Learning: Regression, Classification, Clustering, Neural Networks

Certification

  • Responsive Web Design Certification - FreeCodeCamp
  • Introduction to Machine Learning - Udemy

Projects

AcciData: Unveiling USA Accident Trends with BigQuery and Data Studio, AcciData leverages Google BigQuery and Data Studio to analyze and visualize accident data across the USA. Providing valuable insights into accident trends and patterns for informed decision-making and preemptive road safety measures. Seconds, Designed and developed a marketplace platform using JavaScript, MySQL, and AWS, enabling students to exchange books, devices, and other resources. Executed features like messaging, secure payments, and a calendar system to facilitate seamless transactions among users. ImageSense: R-based Convolutional Neural Network for Image Classification, ImageSense harnesses the power of R Studio and R to develop and deploy a robust Convolutional Neural Network (CNN) model, enabling accurate image classification for various applications with a seamless development and deployment process with a 78% accuracy.

Timeline

Software Developer

Freddie Mac
2023.05 - Current

Java Developer

MIT Group
2022.09 - 2023.03

Software Developer

Workcog
2020.10 - 2021.03

System Analyst Intern

Concentrix
2017.08 - 2019.08

Master of Science - Information Technology

Sacred Heart University

Bachelor of Technology - Computer Applications

Osmania University
  • Responsive Web Design Certification - FreeCodeCamp
  • Introduction to Machine Learning - Udemy
Akhila P