Sathwik Amburi

Doctoral research on leveraging AI for secure software development in industrial settings, with attention to context engineering, harness engineering, developer training, and evaluation.

Completed my Master of Science in Informatics with a focus on advanced software engineering, security, and AI. Co-authored my Master's thesis on 'A Systematic Privacy Risk Catalog for General Purpose AI Systems' at the Chair of Software Engineering for Business Information Systems (sebis).

I completed my Bachelor of Technology in Computer Science and Engineering with a CGPA of 9.17/10. My studies included extensive coursework in software engineering, machine learning, and system design.

Researching how AI can support secure software development through better developer training, context-aware workflows, AI harnesses, and practical software-security tooling.

Created secure-coding challenges for developer education, evaluated LLMs for secure coding, analyzed Rust security vulnerabilities, and built research prototypes for GenAI-assisted secure development.

Participated in the Siemens Mentoring Program 2024 and won the Siemens Mentoring Hackathon with an AR/VR solution for Hymer using TeamViewer Frontline Spatial Editor.

Developed a simulation model to streamline simulations, enhancing user interaction with the AI-driven platform. Led the design and implementation of user interfaces for Parloa's AI platform, focusing on dynamic interaction and testing of LLM bots.

Contributed to the development of an application that supports investors in meeting their investment goals. Developed a web interface to guide investors by integrating state-of-the-art risklab services.

Created a visually appealing map style and route planner using Mapbox GL JS and React JS. Designed and implemented a route planner with relevant technologies.

Assisted in developing a Python plugin for FreeCAD that automatically creates accurate 3D building models from images. Contributed to computer-vision tooling for building renovation workflows.

Assisted in the development of epidemic models like SEIR and SIR for forecasting COVID-19 spread. Designed a patient dashboard for monitoring health and developed deep learning models for categorizing chest X-rays and CT scans.