About Me

Hi, I am Alekya, a Computer Science master’s student at California State University, Sacramento, graduated in December 2024. With a solid foundation in computer science and 5 years of software development experience, my journey into web development began with a deep fascination for design and user interfaces.

I initially found myself captivated by how dynamic elements create engaging user experiences. This curiosity grew into a passion as I delved into frontend technologies like React and JavaScript, and expanded into backend development with Python and Flask.

Currently, I work as a Full Stack Developer at the Office of Water Programs, where I craft solutions for environmental health. Previously, at Accenture, I was Promoted to Application Development Senior Analyst, gaining valuable experience in Managing Teams, Sprint planning, Frontend Development and Code Reviewing. My combined expertise in leadership and development fuels my drive to build impactful web applications.

Here are a few technologies I’ve been working with recently:

  • JavaScript (ES6+)
  • TypeScript
  • React
  • Python
  • SQL Alchemy
  • Microsoft SQL Server
Profile Image
Education

2022 - 2024

Master of Science in Computer Science
California State University - Sacramento
  • Currently pursuing Master's in Computer Science with 3.8 GPA.
  • Worked as a Teaching Assisstant for courses: Data Structures and Algorithms, DataBase Management Systems.
  • Worked as a Student IT Technician for Department of Arts and Letters.

2014 - 2018

Bachelor of Technology in Information Technology
Jawaharlal Nehru Technological University- Hyderabad
  • Completed B.Tech in Information Technology with 71.9%.
  • Won First Prize for paper presention in Virtual Reality conducted in another university.
  • Volunteered for social organizations like Lead India, Street Cause.

Experience

Software Engineer

Office of Water Programs

  • I am working as a Fullstack Developer at Office of Water Programs.
  • Developed website for the State Water Board of California for the detection of PFAS in water using React, Material UI, and Tailwind CSS, improving user interface consistency.Created RESTful APIs in JSON format with Python, Flask, SQLAlchemy and utilized MSSQL server for efficient database operations.
  • Improved SQL Server join operations and boosted database query efficiency by 60% through the implementation of indexes on frequently queried columns, enhancing overall feature performance.
  • JavaScript
  • React
  • Python
  • Flask
  • SQLAlchemy
  • MSSQL Server
oct 2023 - present

Application Development Senior Analyst

Accenture

  • I led the development of Heineken Mexico frontend team playing a pivotal role in Sprint Planning and estimation of User stories following Agile Principles.
  • Mentored and guided 2 junior developers, performing thorough code reviews to uphold best practices and coding standards.
  • Collaborated closely with product managers and key stakeholders to define and prioritize project requirements, driving alignment and execution for a development team of 7 members.
  • Leadership
  • Code Review
  • Sprint Planning
  • Spartacus
  • Angular
  • KendoUI
Dec 2021 – May 2022

Digital Tech Developer Analyst

Accenture

  • I spearheaded the development of Single Page Applications using HTML5, CSS3, and JavaScript, with expertise in Angular and React frameworks.
  • Created a global stylesheet (colors, dropdowns, search dropdowns, favorites, links, forms) for maintaining consistency across pages of websites that led to a reduction in duplication of code by 60% and improved code reuse.
  • Achieved a 50% boost in page speed by eliminating redundant AJAX API calls, implementing lazy loading of images, refactoring code, and compressing resources using tools like Webpack.
  • JavaScript
  • Angular
  • Rxjs
  • Ajax
  • jQuery
Nov 2020 – Dec 2021

Associate Software Engineer

Accenture

  • Developed MEAN and MERN applications during training, enhancing skills in JavaScript frameworks and improving code quality.
  • Implemented pages using JavaScript, jQuery, and AJAX calls to APIs, improving user interaction and page load times.
  • Debugged code and pushed defect fixes, ensuring high performance and reliability in the software.
  • JavaScript
  • MERN
  • MEAN
  • HTML
  • CSS
Nov 2018 – Nov 2020
Skills
Development
JavaScript icon

JavaScript

TypeScript icon

TypeScript

HTML5 icon

HTML5

CSS3 icon

CSS3

SCSS icon

SCSS

Python icon

Python

React icon

React

Angular icon

Angular

Node.js icon

Node.js

jQuery icon

jQuery

Flask icon

Flask

SQL Server icon

SQL Server

PostgreSQL icon

PostgreSQL

MySQL icon

MySQL

Redis icon

Redis

MongoDB icon

MongoDB

SQLAlchemy icon

SQLAlchemy

Tools
Git icon

Git

Chrome DevTools icon

Chrome DevTools

Grunt icon

Grunt

Gulp icon

Gulp

Webpack icon

Webpack

Postman icon

Postman

Jira icon

Jira

Bitbucket icon

Bitbucket

Knowledge
  • UI Components
  • Single Page Application
  • State Management
  • CSS Detangling
  • ECMAScript 6
  • Usability
Projects
FlowMail
FlowMail image

I developed an Outlook email assistant add-in designed to help students draft academically appropriate emails with greater ease and professionalism. The project was aimed at improving communication between students and academic staff by providing assistance in structuring emails, ensuring proper tone, and responding to common queries. Leveraged Large Language Models (LLMs) to suggest and generate well-structured email drafts based on the context provided by the student. Provided a set of predefined templates for frequently asked questions, such as, Extensions on assignments, Inquiries about course materials.

JavaScriptFlaskLLM
Multi-Label Text Classification of toxic comment dataset
Multi-Label Text Classification of toxic comment dataset image

I along with my peers designed and developed the base model for a research paper focusing on Multi-label Text Classification using an Attention-based Graph Neural Network (GNN). The primary objective was to classify textual data into multiple categories, leveraging the graph structure to capture relationships between labels and input text features. After building the GNN model, I further enhanced the model's performance by integrating a BERT transformer.

PythonPyTorchBERT
CRUD Operations on Redis Enterprise Cloud
CRUD Operations on Redis Enterprise Cloud image

I developed an interactive dashboard using JavaScript and Chart.js to visualize and analyze data from the FIFA World Cup dataset, while integrating a Flask backend for data management through GET and POST APIs. The project involved creating a full-stack solution where the frontend dashboard provided dynamic data visualization, and the backend enabled data persistence and CRUD operations. Integrated an ORM (Object Relational Mapping) layer to interact with a Redis database, ensuring efficient data storage and retrieval.

JavaScriptFlaskRedis
Grab a Coffee and Let's Connect ☕
Feel free to contact me

Phone

9167935988

Email

alekyapaladugu021@gmail.com