MSc Computer Science Student | University of Bern

Building dependable systems across integration, backend APIs, and applied AI.

I design and ship practical software that connects enterprise platforms, web products, and machine learning workflows. Currently working at the University of Fribourg on metamodeling and API tooling.

Focus right now: Express API automation

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About

Engineer with enterprise grounding and research momentum

I enjoy building software where reliability and usability matter equally. My background includes SAP PI/PO/CI integration, Express services, UI development, and ML-backed product ideas. I am motivated by challenging problems that require clear thinking, clean architecture, and measurable impact.

At the University of Fribourg, I automate OpenAPI specification generation, improve file management and caching in MMAR, and implement dynamic UI and simulation features for model-driven workflows. I also work on AI-assisted visual modeling prototypes.

Experience

Professional timeline

Aug 2024 - Present

Unterassistent | University of Fribourg

  • Automated schema and OAS 3.0 generation for existing Express APIs in MMAR.
  • Implemented file management and caching capabilities, improving responsiveness.
  • Added support for dynamic and nested table attributes, URDF import/simulation, and VizRep custom rendering functions.
  • Delivered refactoring and bug fixes across frontend and backend modules.
Jul 2021 - Jan 2024

Consultant - Package Implementation | LTIMindtree

  • Built and supported SAP PI/PO interfaces using REST, IDOC, and SFTP adapters.
  • Migrated integration scenarios from NW 7.5 split stack to Java-only SAP PI systems.
  • Resolved high-priority production incidents while meeting strict SLA timelines.

Projects

Selected work

Parallel Mandelbrot Set Renderer

Modernized a legacy single-threaded Java applet into a parallel Swing application using ExecutorService tile partitioning, delivering around 3x faster rendering while keeping the UI responsive.

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Insect Identification and Pesticide Recommendation

Built an end-to-end AI pest-management system with YOLOv4 detection and a Flutter app, supported by a serverless UbiOps and PHP/MariaDB pipeline with about 95 percent mAP on nine classes.

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Integrating LLMs into Modeling Platforms

Implemented a prototype in MM-AR enabling natural-language-driven visual model creation and updates, with a modified function-calling approach and a published research contribution.

Research Profile

Skills

Tools I work with

Languages

TypeScript, JavaScript, Java, Python, C, C++, SQL

Frameworks and Libraries

React, Express, Spring, PyTorch, Aurelia

Platforms and Tooling

AWS, Docker, Kubernetes, Jenkins, Linux, Git, Postman, DBeaver, Swagger

Integration Stack

SAP PI/PO/CI, REST, IDOC, SFTP

Highlights

Achievements and education

Achievements

  • AWS Certified Solutions Architect Associate
  • Best Paper Award
  • Business Unit of the Year Award
  • 2025 Student Innovation Grant

Education

  • MSc Computer Science, University of Bern (2024 - Present), Grade: 5.5/6.0
  • BTech Computer Science and Engineering, NIT Manipur (2017 - 2021)

Contact

Let us build something useful

I am open to software engineering, integration, and applied AI opportunities. Reach out and I will respond as soon as possible.

gunakarchalla@gmail.com LinkedIn