Vinayak Arannil

Applied Science Manager at Amazon Web Services (AWS)

San Francisco Bay Area United States
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
Vinayak Arannil is an Applied Science Manager based in the San Francisco Bay Area with a decade of hands-on experience building production AI at scale, focused on computer vision, NLP, and generative/agentic systems. He has advanced through Amazon Web Services from Data Scientist roles to leading applied science for Amazon Bedrock and Titan, driving integrations of LLMs and agentic workflows for enterprise customers. Previously he led OCR and document-digitization efforts in healthcare, delivering low-latency pipelines that processed millions of records using state-of-the-art detection and recognition models. Comfortable bridging research and engineering, he combines deep learning research with scalable MLOps and product delivery across cloud-native environments. Known for turning complex customer problems into deployable AI solutions, he brings both technical depth and pragmatic leadership to cross-functional teams.
code9 years of coding experience
job10 years of employment as a software developer
bookBachelor's degree Electrical Electronics and Communications Engineering, Bachelor's degree Electrical Electronics and Communications Engineering at University of Calicut
languagesEnglish, Malayalam, Hindi
github-logo-circle

Github Skills (87)

sagemaker10
amazon-sagemaker10
mlops10
deep-learning10
face-recognition10
data-science10
reinforcement-learning10
jupyter-notebook10
face-detection10
machine-learning-models10
machine-learning10
inference10
aws10
facenet9
pytorch9

Programming languages (6)

C++LuaJupyter NotebookMATLABPythonCuda

Github contributions (5)

github-logo-circle
<NOT ACTIVELY MAINTAINED>A light weight face recognition implementation using a pre-trained facenet model
Contributions:14 commits, 2 PRs, 18 pushes in 2 years 10 months
face-recognitionfacenetface-detectionfacenet-trained-modelsdeep-learning
Contributions:4 pushes, 1 branch in 1 year 1 month
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.
Request Free Trial