Deepak Chandramouli
AI ML Data Infra
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolDeepak Chandramouli is an AI/ML and data infrastructure leader based in San Jose with eight years focused on building scalable ML platforms and large-scale data systems. He currently drives ML/Data Infra initiatives at Apple after leading ML lifecycle tooling, enterprise metadata, and data access abstraction efforts at PayPal. Deepak has a strong track record of shipping production-grade frameworks—co-incubating open-source projects like Gimel and leading PayPal’s Unified Data Catalog—to simplify data access, discovery, governance, and cloud migration. He blends hands-on engineering (Scala, Spark, Kafka, Python) with platform strategy to democratize AI across organizations, and his background includes transforming high-volume telecom and retail data pipelines earlier in his career. Not obviously, he moves between deep technical design and product-oriented platformization, enabling teams to adopt ML at scale rather than just building point solutions.
8 years of coding experience
12 years of employment as a software developer
Bachelor of Engineering Electronics & Communication, Bachelor of Engineering Electronics & Communication at Sri Venkateswara College of EngineeringSBOA Metric Higher Sec School, Chennai
Github Skills (50)
paypal10
hbase10
python10
cassandra10
storage10
pyspark10
kafka10
data-api10
teradata10
spark-streaming10
api10
aerospike10
scanner9
spark9
java9
Programming languages (4)
Github contributions (5)
Dee-Pac/gimel
Apr 2018 - May 2021
PayPal's Big Data Processing Framework
Contributions:84 commits, 141 pushes, 29 branches in 3 years 1 month
big-data-processingdata-processingbig-datasparkpaypal
paypal/gimel
Apr 2018 - May 2021
Big Data Processing Framework - Unified Data API or SQL on Any Storage
Contributions:14 reviews, 26 commits, 96 PRs in 3 years 1 month
big-data-processingpythonstreaming-sqlpaypalstorage
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