Sachidanand Alle
Principal Engineer at NVIDIA
California, United States
Summary
🤩
Rockstar🎓
Top SchoolSachidanand Alle is a Principal Engineer based in California with eight years of focused experience building high-performance, scalable systems and AI-assisted medical imaging solutions. Currently at NVIDIA, he architects AI annotation and segmentation tools and contributes to prominent open-source projects like MONAI, improving medical imaging workflows and Slicer client integrations. His background includes designing C++ ranking and click-model serving systems at Yahoo that handled hundreds of thousands QPS with millisecond latencies, and leading data pipeline and feature engineering efforts across Hadoop/Spark ecosystems. Comfortable across C++, Java, distributed systems and ML tooling, he blends deep protocol- and systems-level expertise with practical ML engineering for healthcare imaging—an unusual mix that drives both production performance and research-forward tooling.
7 years of coding experience
17 years of employment as a software developer
MTech Computer Science, MTech Computer Science at B. M. S. College of EngineeringB.E. Computer Science, B.E. Computer Science at BEC Bagalkot
Kannada, Hindi
Github Skills (17)
pytorch10
python10
medical-image-processing10
imaging10
deeplearning-ai10
deep-learning10
medical-image-computing10
transform10
medical-imaging10
api-design9
numpy9
ml9
apidoc9
aiml9
ai9
Programming languages (5)
Github contributions (5)
Project-MONAI/MONAILabel
Mar 2021 - Jan 2023
MONAI Label is an intelligent open source image labeling and learning tool.
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:12 releases, 592 reviews, 338 commits in 1 year 10 months
Contributions summary:Sachidanand's commits focused on enhancing the Slicer client within the MONAI Label project, specifically involving the integration of user-defined configurations. They updated the Slicer plugin to pass user configurations as part of requests to the server. The contributions involved modification of the Slicer plugin code (MONAILabel.py) and improving the server.
pytorchintelligentactive-learningdeep-learninglearning-tool
Project-MONAI/MONAI
Jul 2021 - Dec 2022
AI Toolkit for Healthcare Imaging
Role in this project:ML Engineer
ML EngineerContributions:65 reviews, 9 commits, 17 PRs in 1 year 5 months
Contributions summary:Sachidanand primarily contributed to the MONAI project by modifying and improving the Deepgrow, DeepEdit, and NuClick components. Their work involved fixing issues related to data handling with `MetaTensor`, updating transforms, and supporting multiple click interactions for training. They also addressed data preparation for Deepgrow in both 2D and 3D scenarios. The user demonstrated expertise in modifying and improving medical imaging AI tools.
pytorchpythondeep-learningmedical-image-processingcomputer-vision
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