Santhosh Narayanan
Sr. Software Engineer at Amazon
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolSanthosh Narayanan is a senior software engineer with nine years of experience building data-driven and distributed systems, currently working at Amazon after roles across Amazon Lab126 and large-scale backend teams. He holds a Master's in Computer Science (Data Science) from USC and has practical research experience applying semi-supervised deep learning to civic problems like street cleanliness detection in Los Angeles. His technical breadth spans Python, Java, PyTorch/Keras, PySpark and emerging big-data stacks (Hadoop, Spark), and he has shipped production data pipelines and middleware integrating ML models with frontends. At ZS he scaled ML algorithms with PySpark and automated data migrations and quality checks, demonstrating an ability to move proofs-of-concept into robust, scheduled workflows. Based in San Jose, he combines academic rigor with hands-on engineering at cloud scale and an interest in using AI for social impact. A not-obvious strength: he pairs low-level backend engineering with front-end and devops fluency, enabling end-to-end delivery of ML-enabled applications.
8 years of coding experience
5 years of employment as a software developer
Master's degree Computer Science Data Science, Master's degree Computer Science Data Science at University of Southern CaliforniaKendriya Vidyalaya SangathanBachelors of Engineering Computer Engineering, Bachelors of Engineering Computer Engineering at University of Mumbai
Github Skills (16)
java9
javascript9
open-source9
elasticsearch8
search-engine8
restful7
infection6
flask6
convolutional-neural-networks5
opensearch5
deep-learning4
python4
api3
google-trends3
google-api3
Programming languages (6)
Github contributions (5)
santhosh96/ArtificialNeuralNetworks
Jul 2017 - Jan 2025
Contributions:4 pushes, 1 branch in 7 years 6 months
santhosh96/deep_diagnose
Jun 2019 - May 2020
Diagnosis system for identifying Tinea based skin infection using deep learning
Contributions:3 commits, 40 pushes, 2 branches in 11 months
pythondeep-learningmedical-image-processingflaskinfection
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