Summary
Overview
Work History
Education
Skills
Accomplishments
Core Strengths
Timeline
Generic
JYOTHIRMAYEE KANKANALA

JYOTHIRMAYEE KANKANALA

Gothenburg,Vastra Gotaland

Summary

Experienced Fullstack Developer with 4 years of expertise in front-end and back-end development. Proficient in Node.js, JavaScript frameworks, and building scalable web applications. Looking for opportunities to leverage my skills in creating impactful, robust solutions that drive performance improvements and seamless integration across the development stack.

Overview

5
5
years of professional experience

Work History

Software Engineer II

Factset Research Systems
Hyderabad
02.2021 - 11.2024
  • Developed and maintained scalable full-stack web apps, components, and APIs for high-traffic news platforms, delivering realtime insights to 25,000+ financial professionals and improving portfolio tracking capabilities
  • Migrated legacy Angular apps to Vue and Webpack to Vite, reducing build times by 70% and cutting technical debt by 40% while enhancing scalability and deployment efficiency
  • Increased user engagement by 30% by integrating tailored realtime alerts and improving the interface to better access market insights
  • Integrated AI-driven earnings call summaries and actionable news updates, improving decision-making efficiency by 40% for clients
  • Contributed to the enhancement of product features, reusable components, and client usage tracking, resulting in significant improvements in user efficiency

Participant

EPAM Prep Program
Remote
01.2020 - 08.2020
  • Mastered Git, OOP, Java Collections, and database fundamentals for back end development
  • Used design principles (SOLID, KISS, YAGNI) and clean code practices for scalable full-stack systems
  • Applied Test-Driven Development (TDD), developed RESTful APIs, and built responsive web applications using front-end technologies (HTML, CSS, JavaScript)

Machine Learning with Python & IBM Watson Intern

TheSmartBridge
Hyderabad
06.2019 - 07.2019
  • Developed a machine learning model to predict future sales of a game based on launch price and genre, achieving 86% accuracy, which provided actionable insights for pricing strategies
  • Led data analysis and pre-processing tasks, optimizing model parameters and enhancing performance, while reducing processing time by 15%

Education

B.Tech - Computer Science Web Development, Programming Languages (Java, C++, Python, PHP Etc.), Data Structures & Algorithms, Database Management

G. Narayanamma Institute of Technology & Sciences
Hyderabad
01.2021

Skills

  • Front-End: React, Vuejs, Angularjs
  • Back-End: Nodejs, Expressjs, and REST APIs
  • Languages: PHP, Python, JavaScript, TypeScript
  • Tools: Webpack, GraphQL, Jest, Jenkins, JIRA
  • Cloud: AWS
  • Version Control: Git
  • Development Practices: Agile, SOLID principles, TDD, Continuous Integration/Continuous Deployment (CI/CD)

Accomplishments

  • Received the Star Award for improving the app’s architecture and scalability.

Core Strengths

  • Cross-Functional Collaboration
  • Problem-Solving & Attention to Detail
  • Code Quality Assurance & API Development

Timeline

Software Engineer II

Factset Research Systems
02.2021 - 11.2024

Participant

EPAM Prep Program
01.2020 - 08.2020

Machine Learning with Python & IBM Watson Intern

TheSmartBridge
06.2019 - 07.2019

B.Tech - Computer Science Web Development, Programming Languages (Java, C++, Python, PHP Etc.), Data Structures & Algorithms, Database Management

G. Narayanamma Institute of Technology & Sciences
JYOTHIRMAYEE KANKANALA