Santhosh T is a Senior AI/ML Engineer with six years of experience building and deploying deep learning solutions, currently applying SOTA models to insurance products at Chubb from his base in Bengaluru. He has a strong hands-on background in Keras/TensorFlow, model monitoring with TensorBoard, face recognition, and serving models via Flask/FastAPI backed by MySQL. Prior roles span recommendation systems and end-to-end ML lifecycle work at Epsilon, data engineering and R&D at Finquest, and applied deep learning and analytics roles that bridged research and production. His open-source contributions include low-level platform work for SONiC builds—implementing hardware watchdog, thermal and I2C changes—highlighting fluency with hardware-facing systems as well as ML stacks. Trained originally as an ECE engineer at PES University, he combines system-level programming sensibilities with practical ML deployment experience. Colleagues describe him as a pragmatic problem-solver who surfaces data-quality and infrastructure fixes that unlock model performance in production.
6 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at PES University
Scripts which perform an installable binary image build for SONiC
Role in this project:
Embedded Systems Engineer
Contributions:23 reviews, 44 commits, 39 PRs in 3 years 2 months
Contributions summary:Santhosh primarily contributed to the development and maintenance of platform-specific modules for Dell EMC SONiC builds. They worked on implementing hardware watchdog support for the Dell EMC S6100 and Z9264f platforms, including enabling and disabling functionality. Additional contributions include thermal support for reboot causes and I2C enumeration changes, indicating a focus on low-level system interactions and hardware control. The user also worked on SSD and Fan Management in addition to porting changes for S5212F and S5224F for platform API 2.0.
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