Aditya Parkhi is a Staff Data Scientist based in San Diego with eight years of experience building production ML systems across finance and semiconductor industries. He blends deep learning, NLP, and classical ML with DevOps skills—Docker, Kubernetes, Elasticsearch and cloud—to deploy scalable prediction pipelines and observability stacks. At Qualcomm he progressed from intern to staff, delivering resource prediction models that cut HPC compute usage by ~70%, and at Credit Suisse he automated margin services and legal-document analysis using NLP. A NC State MS graduate who has worked with Hyperledger and blockchain research, he pairs academic rigor with hands-on system design and a knack for squeezing efficiency from constrained compute environments.
7 years of coding experience
4 years of employment as a software developer
12th, 12th at Delhi Public School - India
Master of Science - MS Computer Science, Master of Science - MS Computer Science at North Carolina State University
Bachelor of Engineering - BE Electrical and Electronics Engineering, Bachelor of Engineering - BE Electrical and Electronics Engineering at University of Mumbai
Contributions:13 commits, 3 PRs, 11 pushes in 1 year 6 months
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