Sangamithra is an AI Research Scientist at Fraunhofer IAIS, focusing on AI platforms and modular, interpretable AI pipelines. Her recent work involves agentic workflows and long-term memory for LLMs. Her background spans clinical NLP and financial data analytics, and she holds a Masters degree from Universität Passau.
She recently authored an article on the benefits of multi-agent workflows and Long-Term Memory (LTM) architecture in AI, focusing on creating more efficient and coherent AI systems.
Sangamithra Panneer Selvam
Junior Consultant - AI at Wisetime Oy
Stuttgart, Baden-Württemberg, Germany
Overview
Topics They Care About
AI Platforms
Her work at Fraunhofer IAIS centers on the 'AI-Builder' platform, a framework for composing and deploying reusable AI modules, which she has presented publicly.
Agentic AI Workflows
She has authored articles on moving beyond static prompt engineering to structured, goal-oriented AI behaviors that involve decision-making and tool use.
LLM Memory
Researches and writes about enabling Large Language Models with long-term memory to maintain context and create persistent knowledge stores for improved reasoning.
Media Appearances
Sangamithra has no verified media appearances
Work History
2-2025
Junior Consultant - AI at Wisetime Oy
12-2023 - 1-2025
Research Assistant at Universitätsklinikum Hamburg Eppendorf
4-2023 - 3-2024
Research Assistant at Universität Passau
9-2022 - 12-2022
Research Assistant at Universität Passau
10-2019 - 9-2021
Engineer at Tata Elxsi
Education
10-2021 - 10-2024
Master's degree from Universität Passau
7-2015 - 5-2019
Bachelor’s Degree from Anna University Chennai
More Information
Social Presence :
Prographics :
Exp : 4
Location : Stuttgart, Baden-Württemberg, Germany
Job Level : Junior
Designation : Junior Consultant - AI at Wisetime Oy
