cv
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Basics
Name | Simhadri Holagundhi |
Label | AI Developer |
simhadri1998@gmail.com | |
Phone | +49 15143508253 |
Url | https://s1mhadri.github.io |
Summary | Artificial Intelligence Enthusiast with a strong background in Machine Learning, Deep Learning, and Interaction Technology. I am passionate about solving real-world problems using AI and building AI products that can help people. |
Work
-
2022.03 - Present Research Assistant
Interaction Design and Technologies, Fraunhofer IAO
- Applied research of interaction with multi-agent Large Language Models for multi-criteria decision making.
- Implemented RAG with Large Language Models for customer support.
- Developed a multi-objective search mechanism considering location, environmental, and driving context of cars.
- Contributed to the development of an HMI prototype for proactive interaction in future cars (Patent application in progress).
- Conducted comprehensive exploration, modification, and application of data science and data analytic prototypes.
- Implemented ML models for predicting losses in Electrical Transformers, contributing to resource savings.
- Developed a hands-free User Interface using an eye-tracker for a solar farm maintenance demo.
-
2021.11 - 2022.02 Research Assistant
Analytic Computing, University of Stuttgart
- Developed application prototype for a mixed reality experience using Microsoft HoloLens.
- Integrated eye-tracking features for real-time guidance and knowledge transfer in medical environments.
- Conducted a detailed study with medical experts to evaluate the product.
-
2019.06 - 2019.08 Project Intern
Grydsense, Fraunhofer IAO
- Developed firmware for ZigBee System-on-Chip (SOC) for Automatic lighting control system.
- Integrated proprietary sensor board with ZigBee SOC.
Skills
Python | |
Pytorch | |
LangChain | |
HuggingFace | |
Pandas | |
OpenCV |
Unity | |
C# | |
Mixed Reality Toolkit | |
Augmented Reality | |
Virtual Reality |
Robotics | |
C/C++ | |
ROS | |
Gazebo | |
Franka Emika Panda | |
Embedded Systems |
Education
-
2020.10 - 2023.10 Stuttgart, Germany
M.Sc.
University of Stuttgart
Information Technology
- Deep Learning
- Machine Learning
- Detection and Pattern Recognition
- Scientific Visualization
- Software Engineering for Real-time systems
-
2016.08 - 2020.08 Bengaluru, India
B.Engg.
Dayananda Sagar College of Engineering
Electronics and Communication Engineering
- Signal Processing
- Image Processing
- Embedded Systems
- Python Programming
Certificates
Academy Accreditation - Generative AI Fundamentals | ||
Databricks | 2024-01-26 |
Image Processing Onramp | ||
Mathworks | 2020-10-07 |
Languages
English | |
Fluent |
German | |
Beginner |
Kannada | |
Native Speaker |
Interests
Human Centered AI | |
Explainable AI | |
Human Computer Interaction | |
Human Robot Interaction | |
Human Perception | |
Human Cognition |
Large Language Models | |
Multi-modal models | |
multi-task learning | |
multi-agent systems | |
Natural Language Processing |
Machine Learning | |
Computer Vision | |
Deep Learning | |
Data Analysis | |
Predictive Modelling |
References
Chandan Kumar | |
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Dr. rer. nat. Korok Sengupta | |
He was instrumental in the development of a Microsoft Hololens Application in Unity where he incorporated the feed from ARRI mircoscopes used by surgeons at the Bundeswehrkrankenhaus, Koblenz. He successfully developed the framework where the eyetracking feature from Hololens was augmented on the microscope to enable remote doctors see where the surgeon was looking at during a surgery. Mr. Holagundhi's persistence and problem-solving approach was extremely appreciable. He can work independently but also clearly manages to list out challenges which could be solved during team meetings. |
Projects
- 2023.05 - 2023.11
Deep Learning based Risk Assessment for Franka Emika Panda manipulator
- Implemented a data collection pipeline using ROS/Gazebo.
- Developed and evaluated Graph Neural Networks for failure prediction in the Franka Emika Panda manipulator.
- Achieved predictions of failures up to 0.3 seconds in advance.
- 2021.11 - 2022.05
Generative Modelling for Appearance-based Eye Gaze Estimation
- Conducted a quantitative evaluation of the influence of synthetic data on gaze estimation.
- Developed GAN models for data augmentation, improving gaze estimation by 10%.
- 2019.10 - 2020.04
Simulation of Quantum Image Steganography
- Designed, implemented and simulated Quantum Steganography on a classical computer.
- Implemented a pipeline for encryption and decryption of secret images for improved security.