Saishruthi Swaminathan
Senior Responsible Tech And Governance Program Manager at IBM
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSaishruthi Swaminathan is a Senior Responsible Tech and Governance Program Manager at IBM with eight years of experience bridging electrical engineering, data science, and AI ethics. A World Economic Forum Professional Fellow and prolific speaker, she has delivered over 75 talks advocating tech ethics and governance while mentoring practitioners and students in applied ML. She combines hands-on contributions to major open-source projects—adding metrics to TensorFlow Addons and enhancing fairness tooling in IBM’s AI Fairness 360—with program-level leadership building Ethics by Design and board advisory programs. Comfortable in both Python and R, she pairs rigorous engineering (object detection, model evaluation metrics) with policy-minded governance to make AI both effective and accountable. Based in San Francisco, she brings a rare mix of research, developer advocacy, and operational program management to responsible AI initiatives.
8 years of coding experience
10 years of employment as a software developer
Master’s Degree Electrical Engineering, Master’s Degree Electrical Engineering at San José State UniversityBachelor of Engineering (B.E.) Electrical and Electronics Engineering, Bachelor of Engineering (B.E.) Electrical and Electronics Engineering at Sri Sairam Engineering College
English, Tamil
Github Skills (24)
docker10
python10
machine-learning-models10
r10
machine-learning10
n10
dockers10
f10
tensorflow10
neural-network10
metric10
ai9
deeplearning-ai9
deep-learning9
apidoc8
Programming languages (8)
Github contributions (5)
IBM/MAX-Object-Detector
Jul 2019 - Aug 2020
Localize and identify multiple objects in a single image.
Role in this project:
ML Engineer
ML EngineerContributions:7 reviews, 14 commits, 14 PRs in 1 year
Contributions summary:Saishruthi focused on enhancing the model training and deployment aspects of the object detection system. They updated the training process to use API keys for authentication, integrated new training data, and modified scripts to align with a new object detection model. The user also made adjustments to the project's configuration, including updates to the image paths and dependencies, which included necessary packages for training the model.
coco-datasetdocker-imagesingle-imagemachine-learningimage-processing
Trusted-AI/AIF360
May 2020 - Jun 2022
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Role in this project:Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:18 reviews, 19 commits, 21 PRs in 2 years 1 month
Contributions summary:Saishruthi primarily contributed to the AIF360-R component, adding and updating R-based classification metrics and tests. They integrated new R components and updated the README to reflect the R documentation. The user also updated existing Python-based tests and other project files, demonstrating a familiarity with the codebase and involvement in both Python and R functionalities. The commits suggest improvements to the library's testing framework and documentation.
fairness-mlpythondiscriminationbias-reductionfairness-testing
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.