Aritra Chatterjee
Engineer at Apple
Cupertino, California, United States
Summary
👤
Senior🎓
Top SchoolAritra Chatterjee is an experienced engineer with 12 years building scalable, production-ready systems across financial services and consumer tech, currently contributing at Apple from Cupertino. He blends a strong foundation in Java and distributed systems with advanced machine learning and cloud deployment expertise earned during a master’s specialization in ML at Georgia Tech. At FICO he progressed from J2EE developer to senior analytics lead, driving modular, event-driven architectures, in-memory data grid performance gains, and containerized model serving for banking and compliance use cases. Comfortable partnering with data science teams and product managers, he focuses on turning research models into reliable, low-latency production services. Notably, his background in instrumentation engineering and a summer research stint in non-linear control give him uncommon depth in systems-level thinking and control theory-informed approaches to ML systems. He’s pragmatic about re-engineering legacy platforms to enable zero-downtime updates and rapid deployment cycles.
13 years of coding experience
10 years of employment as a software developer
Master's degree, Computer Science with specialization in Machine Learning, 4.0, Master's degree, Computer Science with specialization in Machine Learning, 4.0 at Georgia Institute of TechnologyDe Nobili School, CMRI, DhanbadBachelor of Technology, Instrumentation Engineering, Bachelor of Technology, Instrumentation Engineering at Indian Institute of Technology, Kharagpur
English, Hindi, Bengali
Github Skills (38)
updating8
nlp6
cython6
fasterxml6
ai6
natural-language-processing6
machine-learning6
text-classification6
python6
artificial-intelligence6
mongodb5
elasticsearch5
xml5
spacy5
deep-learning5
Programming languages (4)
Github contributions (5)
aritratony/mvc-osgi
Aug 2013 - Sep 2013
Contributions:29 commits in 3 days
aritratony/elasticsearch-hadoop
Jun 2015 - Jun 2015
Contributions:2 pushes in 2 days
analyticsintegratedsparkelasticsearchhadoop
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