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Niveditha Thota

Available to hire

I am a Full-Stack Software Engineer with over two years of experience developing scalable applications and simplifying complex systems using Java, Python, React, and cloud-native technologies.

About

I am a Full-Stack Software Engineer with over two years of experience developing scalable applications and simplifying complex systems using Java, Python, React, and cloud-native technologies. I excel at improving enterprise system performance by architecting microservices, optimizing CI/CD pipelines, and refactoring legacy systems. I thrive on reasoning from first principles, adapting quickly across diverse tech stacks, and collaborating effectively in high-performing teams.

Currently, I am pursuing an MSc in Information Systems with a focus on machine learning. I am passionate about creating impactful software solutions and enjoy working in fast-paced, ambitious environments where I can take ownership of complex system design and deliver innovative products.

  • 3 years' experience
  • Joined August 2025

Industry experience

  • Software & Internet
  • Professional Services

Work experience

Software Engineer · Trident Tech LabJul 2024 – Aug 2025 · 1 yr 2 mos

Refactored legacy Java systems into modular microservices using Docker, improving backend performance by 30% and reducing deployment cycles by 25%. Designed and deployed scalable asset tracking features for over 10,000 users leveraging Spring Boot, REST APIs, and MySQL. Enhanced CI/CD pipelines with Jenkins and Docker, cutting integration errors by 20% and ensuring smoother product releases. Championed code quality via code reviews and mentoring peers on design patterns and clean coding practices. Collaborated actively in cross-functional Agile teams using GitHub, consistently delivering sprint tasks ahead of schedule.

Data Science and Business Analytics Intern · The Sparks FoundationApr 2022 – Aug 2025 · 3 yrs 5 mos

Developed predictive models in Python using scikit-learn and pandas, achieving 15% higher precision through advanced regression analysis and feature engineering. Simplified deployment by packaging ML pipelines with Docker and Flask APIs for cloud integration.

Education

MSc in Information Systems · University College Dublin (UCD)2024 – 2025
B.E in Electronics and Communication · Visvesvaraya Technological University (VTU)2018 – 2022

Certifications and awards

AWS Cloud Practitioner2030 – 2025
Udemy 100 Days of Code: Python Pro Bootcamp2030 – 2025
Java Course - Kunal Kushwaha2030 – 2025

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