Aditya Jain
Member Of Technical Staff at Salesforce
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolAditya Jain is an applied machine learning and software engineer with nine years of experience building production-ready ML pipelines and scalable services, currently a Member of Technical Staff at Salesforce in Sunnyvale. He has a strong healthcare analytics background from Cognizant—developing models to predict patient decline and optimize Medicare STAR outreach—and experience shipping high-throughput anomaly detection and search systems at Salesforce and TaxBit. Aditya pairs deep learning and NLP research (USC grad research and TA work) with practical deployment skills including Spark, Docker, TF-Serving, and AWS, and has driven measurable impacts such as 0.98 F1 anomaly detection and 0.75 AUC clinical risk models. An active Kaggle and GitHub practitioner, he blends academic rigor with hands-on engineering to move ML prototypes into production at scale.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS (Honors), Computer Science, Master of Science - MS (Honors), Computer Science at University of Southern CaliforniaBachelor of Engineering - BE, Computer Science, First Class with Distinction, Bachelor of Engineering - BE, Computer Science, First Class with Distinction at Maharashtra Institute of Technology
English, Hindi
Stackoverflow
129reputation
56kreached
3answers
1question
Github Skills (85)
face9
cold-start9
hamlet9
classifier9
caesar-cipher9
image-recognition9
social-network-analysis9
siamese-network9
face-recognition8
face-detection8
keras8
classification8
python7
translation7
knn7
Programming languages (6)
Github contributions (5)
adityajn105/College-Codes
Dec 2016 - Apr 2018
Contributions:90 commits, 80 pushes, 2 branches in 1 year 4 months
adityajn105/adityajn105.github.io
Jul 2018 - Nov 2022
Contributions:83 commits, 29 pushes in 4 years 4 months
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