Vishal Vusirikala
Gardening Leave at Citadel
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolVishal Vusirikala is a quantitative developer with 11 years of experience building production-grade risk and recommendation systems across finance and consumer tech. He has driven fixed income risk and PnL infrastructure at Citadel and now works on quantitative engineering at Millennium, pairing low-latency numerical computation with scalable platform design. Earlier roles at Facebook and RetailMeNot reflect strong foundations in recommender systems and deep learning, with hands-on experience using graph-based approaches and Python. Vishal combines research-minded experimentation with production discipline, comfortable moving models from prototype to latency-sensitive deployments. Based in the New York City area and trained in computer science at UT Austin, he is actively exploring founder opportunities and brings both startup curiosity and institutional rigor. A less obvious strength is his cross-domain fluency—translating recommender and ML techniques into the quantitative finance context to solve complex, data-driven problems.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at The University of Texas at Austin
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (1)
java6
Github contributions (5)
vishalv95/MaxPain
Jun 2016 - Aug 2016
Contributions:6 commits, 4 pushes, 1 branch in 2 months
vishalv95/RecommenderCentrality
Dec 2016 - May 2017
Contributions:51 pushes, 1 branch in 5 months
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