Titus Spielvogel

I am a Software Engineer focused on building scalable multimodal machine-learning systems. I hold an M.S. in Computer Science from UNC Chapel Hill, with a specialization in Robotics and Machine Learning. Before that, I completed my B.S. in Computer Science at the Karlsruhe Institute of Technology in Germany. I also spent over four years as a student research engineer at Fraunhofer IOSB. I've been fortunate to receive a Fulbright Scholarship during my studies.

LinkedIn  /  Email  /  Resume  /  Github

Portrait of Titus Spielvogel

Projects

My work focuses on building and evaluating scalable machine-learning systems that generalize across tasks and modalities, with experience across multimodal models, LLMs, large-scale distributed training, and robotics/embodied AI.

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Video-to-Music Generation
Titus Spielvogel, Scott Merrill
2025
Report  /  Poster  /  GitHub  /  Demo 1  /  Demo 2

A model that generates music aligned to a given video by fusing optical-flow motion cues with CLIP-based visual embeddings to condition an autoregressive music decoder.

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Enhancing Vision-Language-Action Model Evaluation in Simulation
Titus Spielvogel
2025
Report  /  Slides  /  GitHub

An extension of an existing benchmark for evaluating Vision-Language-Action Models in simulation that is more comprehensive, faster, and easier to extend.

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Defense Strategies Against Persuasion-Based Jailbreaking
Mason Laney, Titus Spielvogel
2024
Report  /  Slides

A demonstration that current LLMs (late 2024) are still susceptible to persuasion-based jailbreaking, along with an investigation into defense strategies.

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Skill-Acquisition in LLM Agents
Isai Garcia-Baza, Scott Merrill, Titus Spielvogel
2024
Report  /  Slides

An investigation into how LLM Agents can acquire new skills from a set of primitive actions that help to solve tasks in a specific environment.

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Natural Language Instruction for Human-Robot Collaboration
Mason Laney, Maximilian Nabokow, Titus Spielvogel, Bao-Nhi Vu
2024
Report  /  Slides

An LLM-based natural language control interface for Pollen Robotics' Reachy robot, allowing users to control the robot through voice. A user study compares it against VR teleoperation.

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Safe Reinforcement Learning: Reactive Shield Synthesis
Titus Spielvogel, Raj Patel
2024
Report

A holistic view of reactive shield synthesis that unifies existing literature and provides a complete formal proof for the construction of winning regions in a safety game.

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Imposter Email Detection in Clinical Study Recruitment Using Large Language Models
Titus Spielvogel
2025
Report

Explores LLM-based in-context learning to detect imposter emails in clinical study recruitment, evaluating prompt design, few-shot setups, and weak supervision strategies.

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Safety-driven Schedule Synthesis for Cyber-Physical System
Titus Spielvogel, Raj Patel
2024
Report  /  GitHub

Proposes two scheduling policies for Cyber-Physical Systems in dynamic environments that maximize processor utilization while maintaining a safety margin.

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Decentralized Identities in the Context of Connected Car
Philip Heller, Paul Hoger, Titus Spielvogel, Tim Peters
2023
Report  /  Demo

A proof of concept for decentralized identities in the context of car rental, consisting of microservice-based applications that issue and verify digital driver licenses.

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Verifiable Credential Issuance and Presentation in the Context of Decentralized Identities
Titus Spielvogel
2023
Report

An in-depth analysis of decentralized identity protocols (OpenID4CI, OpenID4VP, SIOPv2, OAuth 2.0, OIDC) and a discussion of their applicability in a proof of concept.