Ravi Kushawaha
Applied Scientist III at Oracle
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolRavi Kushawaha is an Applied Scientist III based in Bengaluru with 10 years of experience building end-to-end ML solutions across finance, medical imaging, MLOps, and generative AI. He combines hands-on model development—training EfficientNetv2, UNet++, YOLOv7 and diffusion/DreamBooth models—with production-focused engineering: data pipelines, resource allocation, Bazel/Jenkins CI, and vLLM inference stacks. At Qure.ai he delivered high-performance imaging models (AUC > 0.95, mAP50 > 0.8) and cut memory and latency significantly in deployment; at Affogato AI he architected a modular four-layer ML stack and integrated open models for efficient multimodal generation. He has practical quant experience designing medium-frequency alphas and running live strategies, reflecting a strong signal engineering mindset. Comfortable bridging research and production, he brings both academic rigor from IIT Bombay and a track record of turning complex ML workflows into resilient, scalable systems. An organizer and team leader from his UAV work at IIT Bombay, he often pairs system-level thinking with pragmatic implementation.
10 years of coding experience
8 years of employment as a software developer
Indian Institute of Technology Bombay
Github Skills (10)
depth10
scada8
ansible-collections8
image-processing7
opc6
ros3
filesystem2
ros-driver2
command-line-tool2
robotics1
Programming languages (2)
Github contributions (5)
ravich2-7183/openDTAM
May 2017 - Apr 2018
An opensource implementation of DTAM
Contributions:17 commits, 13 pushes, 2 branches in 11 months
scadaansible-collectionsopc
ravich2-7183/ip_camera
Jan 2017 - Dec 2017
Contributions:10 commits, 9 pushes, 1 branch in 11 months
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