Rakshith Ramagiri
Deep Learning Engineer at Continual Engine
Bengaluru, Karnataka, India
Summary
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Top SchoolRakshith Ramagiri is a Deep Learning Engineer based in Bengaluru with 8 years of software and AI experience, and 4 years focused on building predictive automation and computer vision systems. He designs and productionizes ML models and self-running pipelines that serve web-scale APIs, routinely automating weekly training and deployment cycles. His background in R&D and automation at Micro Focus honed a pragmatic, efficiency-first approach—cutting diagnostic workflows by 80%—which he now applies to document layout, flowchart analysis, and list detection products. Proficient in Python, OpenCV, PyTorch/TensorFlow and Linux, he blends statistical rigor with software engineering to resolve dataset issues and improve model accuracy. Known as a collaborative problem-solver, he seeks out new problem areas to turn research into accessible, production-ready solutions.
7 years of coding experience
1 year of employment as a software developer
Deep Learning, Artificial Intelligence, Deep Learning, Artificial Intelligence at UdacityBachelor's degree, Computer Science, Distinction, Bachelor's degree, Computer Science, Distinction at UVCE
Github Skills (17)
python8
deep-learning8
gpu8
machine-learning8
neural-network6
tensorflow6
numpy5
gpu-acceleration3
acceleration3
tensor3
autograd2
pytorch1
generative-adversarial-network1
dcgan1
computer-vision1
Programming languages (1)
Github contributions (5)
rakshithramagiri/banana_collector
Mar 2019 - Mar 2019
Contributions:104 commits, 69 pushes, 1 branch in 9 days
rakshithramagiri/cartpole
Mar 2019 - Apr 2019
Contributions:40 pushes, 1 branch in 1 month
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