Shreeraman Ponpathirkoottam
Machine Learning Operations (MLOps)Engineer
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolShreeraman Ponpathirkoottam is an MLOps engineer with eight years of experience building and productionizing AI systems, currently architecting scalable AI ecosystems at T-Systems in Berlin. He has led MLOps initiatives across mobility and privacy-focused startups, standardizing on-prem training infrastructure with tools like Ansible and optimizing inference with TensorRT. At TIER he designed end-to-end ML platforms—serving, monitoring and scaling forecasting models—using ClearML/MLFlow, Feast, Kubeflow, Seldon Core and cloud-native tooling such as Kubernetes, Helm and Terraform. His background in computer vision and unsupervised workflow discovery (DFKI master’s thesis) gives him an unusual edge in tying low-level sensor prototypes to robust production pipelines. Comfortable bridging research and engineering, he focuses on choosing pragmatic tooling to make AI repeatable, observable and operable at scale.
8 years of coding experience
10 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceMaster's Degree Computer Science, Master's Degree Computer Science at Universität des Saarlandes
English, Tamil, Hindi, Kannada, German, Spanish
Github Skills (45)
computer-vision9
hardware9
sdk9
object-detection8
python8
detector8
in-app-purchase8
payment-methods8
intel8
camera-api6
version-control5
realsense5
machine-learning5
data-science4
cml4
Programming languages (5)
Github contributions (5)
srp-31/Data-Augmentation-for-Object-Detection-YOLO-
May 2018 - Jul 2018
This is a python based library to augment the training dataset for object detection using YOLO.
Contributions:13 commits, 1 PR, 36 pushes in 1 month
pythondatasetobject-detectioncomputer-visiontraining
srp-31/Face-Mask-Detection
Jan 2021 - Feb 2021
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
Contributions:8 pushes, 2 branches in 1 month
face-mask-detectionmaskvisiondeep-learningface-recognition
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