Bharddwaj Vemulapalli
Quant Java Engineer at BlackRock
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolBharddwaj Vemulapalli is a Quant Java Engineer with a decade of experience blending quantitative finance, software engineering, and machine learning, currently pursuing an MS in Computational Finance at Carnegie Mellon. He has built production quant strategies and tools at Goldman Sachs and BlackRock and developed data-driven solutions—ranging from GAN-based financial time-series generation to NLP-powered incident recommendation systems—during internships and research roles. Comfortable in both Java production environments and Python ML stacks, he has delivered Slack-integrated tooling, Elasticsearch-backed search, and custom neural implementations to deepen his practical understanding. Based in the New York City area, he brings a researcher’s rigor to real-world trading and engineering problems and is actively transitioning academic ML innovations into robust, scalable quant infrastructure.
10 years of coding experience
1 year of employment as a software developer
Edison High SchoolMaster of Science - MS, Computational Finance, Master of Science - MS, Computational Finance at Carnegie Mellon UniversityBachelor's degree, Quantitative Finance, Bachelor's degree, Quantitative Finance at Stevens Institute of Technology
Telugu, EnglishProgramming languages (1)
Github contributions (5)
bharddwaj/GithubIssuePrioritizer
Sep 2019 - Oct 2020
Contributions:1 PR, 34 pushes, 1 branch in 1 year
sklearnsqltfidf-vectorizerkeras-tensorflowscikit-learn
IshanArya/PixelBattles
Apr 2016 - May 2018
Contributions:3 pushes, 1 comment in 2 years
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