$ git log --author="pavan"
// My professional journey from mechanical engineering to leading foundation models for robotics.
commit Mar 2026 → Present
Team Lead — Foundation Models for Robotics
@ Agile Robots SE// Munich, Germany
Leading the Foundation Models team, defining technical strategy for VLA architectures, pre-training infrastructure, and data pipelines for next-generation robotic agents.
commit Aug 2025 → Mar 2026
Tech Lead — Foundation Models for Intelligent Agents
@ Agile Robots SE// Munich, Germany
Pioneered a novel VLA architecture attaching action-decoding heads to pre-trained VLMs for zero-shot generalization. Orchestrated end-to-end pre-training on AWS HyperPod across 100+ GPU clusters with >85% utilization. Managed 75TB multimodal dataset with optimized S3 pipelines, reducing data loading latency by 60%.
commit Dec 2023 → Sep 2025
Senior Deep Learning Engineer
@ Agile Robots SE// Munich, Germany
Engineered a production-grade Robot Transformer policy with causal masking, achieving 85%+ success rates from 5-20 shot demonstrations. Built an internal RAG system using LangChain, reducing retrieval time by 65%. Applied knowledge distillation to shrink models 40% while retaining 98% accuracy.
commit Aug 2021 → Dec 2023
Software Developer / Deep Learning Engineer
@ Agile Robots SE// Munich, Germany
Built a modular PyTorch object detection library (YOLO/Faster R-CNN) achieving 45 FPS on edge hardware. Implemented semi-supervised learning with pseudo-labeling, cutting annotation needs by 60%. Overhauled CI/CD pipelines for HPC systems with Docker containerization.
commit Sep 2020 → Mar 2021
Master Thesis — Deep Learning for Multiple Object Tracking
@ Robert Bosch GmbH// Hildesheim, Germany
Extended the SHAMANN paradigm for multi-object tracking in crowded scenes. Achieved state-of-the-art stability metrics on MOT17/MOT20 benchmarks with 30% reduced computational complexity through custom attention mechanisms.
commit Mar 2020 → Aug 2020
Deep Learning Intern
@ auvisus GmbH// Karlsruhe, Germany
Optimized PyTorch models for mobile deployment, achieving 4-7x speedups with ONNX Runtime and TensorRT. Built high-accuracy classifiers from sparse data (<500 samples) using MobileNetV2 transfer learning.
commit Oct 2019 → Jan 2020
Teaching Assistant
@ OVGU Magdeburg// Magdeburg, Germany
Assisted in teaching computer science courses, providing guidance to students on programming assignments and deep learning fundamentals.
commit Jul 2016 → Aug 2017
Executive Engineer
@ Amara Raja Batteries Ltd.// Tirupati, India
Led production floor optimization initiatives, improving throughput and reducing defect rates through process automation and data-driven decision making.
commit Jul 2015 → Jul 2016
Graduate Engineering Trainee
@ Amara Raja Batteries Ltd.// Tirupati, India
Completed rotational training across manufacturing departments, learning production processes and industrial engineering fundamentals.