Aroop Ganguly
Senior Engineering Manager Apple AI ML Platforms
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolAroop Ganguly is a Senior Engineering Manager at Apple leading Search and Big Data Processing for the AI/ML Platforms organization, with 14 years of experience building large-scale data and search systems. He progressed from hands-on Big Data engineering for Apple Ad Platforms and Siri to architect and manage platform initiatives that make massive datasets fast and accessible for internal ML teams. Expert in streaming and batch pipelines, Hadoop/Spark, search technologies and distributed architectures, he blends deep technical design with people leadership. His background includes enterprise Java systems at Oracle, IoT research at Bosch, and academic research and teaching at Carnegie Mellon, reflecting a strong foundations-in-practice profile. Known for turning complex data challenges into pragmatic, production-ready platforms, he focuses on enabling high-performance data access for AI teams rather than just optimizing individual components. Based in San Francisco, he pairs rigorous academic training (CMU, MS SE, 3.9 QPA) with a track record of shipping scalable infrastructure at scale.
13 years of coding experience
13 years of employment as a software developer
Bachelor of Engineering, Information Technology, Bachelor of Engineering, Information Technology at Rajiv Gandhi Technical UniversityMasters, Software Engineering, QPA: 3.9, Masters, Software Engineering, QPA: 3.9 at Carnegie Mellon University
English, German, Hindi, Urdu, Bengali, Marathi
Github Skills (16)
apache-zeppelin8
backend8
solr7
java6
lucene6
apache5
search-engine5
information-retrieval4
robotics4
elasticsearch4
nosql4
robotics-simulation3
banana3
robotframework3
interpreter2
Programming languages (3)
Github contributions (5)
aroopganguly/lucene-solr
Mar 2020 - Mar 2020
Apache Lucene and Solr open-source search software
Contributions:7 pushes, 3 branches in 1 day
solrapachesynonymssearch-enginelucene
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