Open to opportunities

Anushka Patra

@anushkapatra

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Software engineering intern building scalable distributed systems and data-driven applications.

Netherlands

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What I'm looking for

I’m looking for a role in software engineering where I can design data-intensive systems, improve performance in distributed workflows, and collaborate with teams that value solid architecture, testing rigor, and rapid iteration.

I’m a Dutch BSc Computer Science & Engineering student at TU Delft focused on software engineering for scalable, data-intensive workflows. Through my internship at DLR, I worked on optimizing the MDAx workflow visualization system to support datasets with over 25,000 variables using profiling, incremental loading, and low-level performance improvements.

I also enjoy turning models and architectures into reliable products: at TU Delft’s Junction X Hackathon with Uber, I built an ML solution with feature engineering and predictive models on large-scale datasets, and created a web-based UI with Git and CI/CD for stable deployments. In my NetNote project, I developed a distributed client-server CRUD with automated sync, multilingual UI, embedded media, and interconnected notes, applying Scrum/Agile practices and strong testing and integration discipline.

Experience

Work history, roles, and key accomplishments

Current

IB Tutor

Current

Acady

Jun 2025 - Present (1 year 1 month)

Freelance tutor for IB Mathematics, Physics, and Chemistry.

Tutoring IB Mathematics IB Chemistry

Software Engineering Intern

DLR - German Aerospace Center

Apr 2026 - Jun 2026 (2 months)

Collaborated on optimizing the MDAx workflow visualization system to support datasets with over 25,000 variables. Used Python and Vue.js to improve performance through profiling, incremental loading, and dynamic XDSM representations, including compatibility work with SysML v2 models.

Python Vue.Js Performance Optimization Profiling Conditional logic SysML

Distributed Note-Taking Platform

TU Delft

Nov 2024 - Feb 2025 (3 months)

Developed a distributed client-server CRUD note-taking platform (NetNote) with automated sync and multi-collection organization. Implemented a Spring Boot RESTful API with a JavaFX client, multilingual UI, embedded media, and tag-based interconnected notes, using GitLab CI/CD for automated testing and integration.

Java Spring Boot Java FX REST APIs CRUD Distributed Systems Tags Gitlab CI Testing Integration

Junction X Hackathon

Uber

Oct 2025 - Present (9 months)

Built an Uber-sponsored ML solution during a 24-hour hackathon sprint. Used Python libraries and PostgreSQL for feature engineering and predictive modeling, and developed a web-based UI with Git and CI/CD for rapid prototyping and deployment stability.