IAB Weimar gGmbH — AI Researcher | Nov 2023 – Present | Weimar, DE
Tech:
Computer VisionSoftware EngineeringLLMsPythonML Pipelines
- Delivered AI solutions in startup environments across computer vision, software engineering, and LLM use cases.
- Collaborated with external partner companies from requirements analysis to integration into existing systems.
- Built and optimized end-to-end ML pipelines for training, evaluation, and deployment of production-ready applications.
- Contributed to multiple projects spanning Nov 2023 to Present with cross-functional stakeholder collaboration.
Robert Bosch GmbH — Working Student & Master’s Thesis (AI & 3D Vision) | Oct 2022 – Nov 2023 | Stuttgart, DE
Tech:
PythonC++DockerAzureML3D LiDARSelf-Supervised Learning
- Developed self-supervised deep learning architecture on unlabeled 3D LiDAR point clouds to improve 3D object detection.
- Designed a LiDAR pre-training approach for autonomous driving and reduced annotation effort.
- Achieved Master’s thesis grade 1.0 (highest distinction).
- Advanced production-ready ML data preprocessing and integration pipelines with interdisciplinary teams.
Stihl AG — Computer Vision Engineer (Internship) | Mar 2022 – Aug 2022 | Stuttgart, DE
Tech:
SalsaNextRandLA-NetCloudComparePythonBlender3D Segmentation
- Implemented deep learning models for semantic 3D LiDAR segmentation in digital gardens.
- Adapted Semantic3D and RELLIS3D datasets and annotated point clouds for high-quality training data.
- Built Python and Blender Python tooling for processing, analysis, and visualization of 3D results.
- Supported product-specific recommendation pipelines from segmented 3D scene understanding.
Tata Consultancy Services — Software Engineer | Aug 2017 – Feb 2020 | Texas, USA (Remote)
Tech:
C++PythonGitHubCI/CDTesting
- Developed and maintained scalable software features in C++ and Python.
- Built and optimized CI/CD pipelines in GitHub for build, test, and deployment automation.
- Designed and executed unit, integration, and system tests for reliability.
- Improved software quality via debugging and performance optimization.
| Project | Stack | Highlights with metrics |
|---|---|---|
| Self-Supervised LiDAR Perception for 3D Object Detection | Deep Learning, PointPillars, Linux, AzureML, Docker, Git | Built self-supervised 3D perception pipeline at Bosch (Oct 2022 – May 2023); contributed to thesis graded 1.0 and reduced annotation effort. |
| Smart Agriculture: Wheat Head & Disease Detection | Self-Supervised Learning, AWS, Docker, CI/CD, GitHub Actions | Delivered end-to-end CV workflow at IAB Weimar (Nov 2025 – Apr 2026); focused on robust detection under limited labels. |
| Animal Habitat Detection | Image Processing, Camera Calibration, Jetson, Deep Learning, OpenCV | Built embedded CV solution at IAB Weimar (Mar 2026 – Present) for field-oriented habitat detection workflows. |
| Emoji | Achievement | Details |
|---|---|---|
| 🏆 | DAAD Prize | Awarded DAAD Prize 2022 for outstanding academic achievements. |
| 🎓 | Master’s Distinction | Master’s thesis received Grade 1.0 (highest distinction) at Robert Bosch GmbH collaboration. |
| 📈 | Experience Depth | 6+ years of experience in AI/ML, software engineering, and production systems. |
| Degree | Institution | Year | Score |
|---|---|---|---|
| Master of Engineering in Mechatronics | Technische Hochschule Rosenheim, Rosenheim, DE | Mar 2020 – May 2023 | Grade: 1.5 (Distinction) |
| Bachelor of Engineering in Electronics and Communication | Anna University, Chennai, IN | Aug 2013 – Jun 2017 | Grade: 2.2 |
🧱 Agentic AI Workflows → Multi-step automation, orchestration, evaluation
🧱 Production LLM Systems → Retrieval pipelines, tool-use patterns, safety
🧱 Advanced Computer Vision → Self-supervised learning, 3D perception, edge deployment
🧱 MLOps at Scale → CI/CD for ML, experiment tracking, reproducible deployment