Prakriti Banik
Senior Software Engineer - Data Technologies Funds And Equities
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolPrakriti Banik is a Senior Software Engineer with 13 years of experience building data-intensive systems at Bloomberg, where she has led cross-functional projects that turned legacy workflows into automated, high-throughput pipelines for funds and equities. She combines ML and computer vision research roots from Virginia Tech with hands-on engineering—designing microservices, Kafka messaging, time-series schemas, and real-time dashboards that reduced manual work and slashed vendor remediation effort. Notable wins include automating 70% of equity ticker creation, eliminating ~7k weekly missing price tickets, and converting a previously slow analytical dashboard into a seconds-fast management tool. An active contributor to large-scale ML/graph toolkits (contributions to PowerGraph’s CV toolchain), she brings a practical focus on production reliability and system-level integrations. Based in NYC, she’s driven by building smarter, safer systems—especially in machine learning and computer vision applications tied to real-world impact.
13 years of coding experience
3 years of employment as a software developer
Master of Science (M.S.) Computer Engineering, Master of Science (M.S.) Computer Engineering at Virginia TechMaster of Science (M.Sc.) Computer Science, Master of Science (M.Sc.) Computer Science at University of Calcutta
English, Bengali, Hindi
Github Skills (11)
computer-vision10
c-language10
cprogramming-language10
opencv9
algorithms8
graph-algorithms8
numerical-optimization8
code-optimization8
algorithm8
optimization8
optimisation8
Programming languages (1)
Github contributions (5)
jegonzal/PowerGraph
Apr 2013 - May 2013
PowerGraph: A framework for large-scale machine learning and graph computation.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:14 commits in 26 days
Contributions summary:Prakriti made multiple code changes within the PowerGraph repository, primarily focused on the Computer Vision toolkits. They changed point data types, and refactored the find_seam function to be edge parallel, solving a runtime error in the process. These changes indicate the user's work integrated components and functionality, suggesting a role across multiple areas.
computationcomputation-graphmachine-learningscalelarge-scale-machine-learning
prakritibanik/helloworld
Dec 2017 - Jan 2020
Contributions:20 pushes, 1 branch in 2 years 1 month
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