Vaibhaw Raj
Senior Software Engineer at Amazon Web Services (AWS)
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolVaibhaw Raj is a senior/staff-level software engineer with 11 years of experience designing and operating large-scale, multi-tenant distributed systems and high-throughput data ingestion pipelines. He has repeatedly delivered telemetry and compliance platforms that process hundreds of millions to billions of events per day, specializing in low-latency, fair multi-tenant scheduling, isolation, and operational efficiency in cloud-native environments. At AWS he led Audit Manager architecture and built hybrid push/pull ingestion, token-bucket throttling for thousands of accounts, and AI-assisted pipelines that cut compliance onboarding from weeks to hours. Comfortable both coding (C/C++, Java, cloud services) and defining platform vision, he mentors teams and drives Tier-1 service delivery. Based in San Jose, he blends machine learning curiosity with deep systems engineering, having applied ML techniques earlier in his career to improve intent recognition and data-driven products.
11 years of coding experience
7 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Santa Clara UniversityBachelor of Technology (B.Tech.) Computer Science and Engineering, Bachelor of Technology (B.Tech.) Computer Science and Engineering at Sharda University
Hindi, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
near-real-time10
near9
chat8
retrieval8
language-processing8
sentence-similarity8
nlp7
natural-language-processing7
question-answering7
squad7
information-retrieval6
chatbot6
Programming languages (1)
Github contributions (5)
vaibhawraj/vaibhawraj.github.io
Mar 2016 - Mar 2024
Contributions:26 pushes, 1 branch in 8 years 1 month
vaibhawraj/Factoid-based-Question-Answer-Chatbot
Apr 2018 - Dec 2019
Factoid Question Answering Chat bot is a simpler version of question answering system. It answers to the question asked by user in near real time using information retrieval and natural language processing technique
Contributions:10 commits, 2 PRs, 7 pushes in 1 year 8 months
language-processingbotnear-real-timeretrievalnatural-language-processing
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