Pranal Madria
Quantitative Developer
Miami, Florida, United States
Summary
👤
Senior🎓
Top SchoolPranal Madria is a quantitative developer with eight years of hands-on software and research experience, currently building low-latency options quantitative research systems at Citadel Securities. He combines a strong academic foundation—BS and MS in Computer Science from Georgia Tech with a 4.0 GPA—with practical internships across Amazon, Sandia National Laboratories, and robotics and materials research labs. His work spans high-performance C++ systems, real-time testing and CI automation, machine learning for vision-based robot terrain recognition, and production-focused trading infrastructure. Notably, he contributed to a robotics vision model that achieved 93% accuracy using LBP+SVM and co-authored a published materials science paper, reflecting uncommon breadth across finance, ML, and experimental research. Based in Miami, he brings an ability to translate academic rigor into production reliability and performance-critical systems.
8 years of coding experience
2 years of employment as a software developer
Masters, Computer Science, 4.00, Masters, Computer Science, 4.00 at Georgia Institute of TechnologyHigh School Diploma, High School Diploma at Rolla Sr. High School
English, Hindi
Github Skills (10)
robot10
android-studio10
controller10
robot-controller9
android8
displays6
radiation5
solar4
forecasts3
database3
Programming languages (2)
Github contributions (5)
4964rollapatriots/ftc_app
Aug 2018 - Mar 2020
FTC Android Studio project to create FTC Robot Controller app.
Contributions:86 pushes in 1 year 7 months
android-studiocontrollerftcandroidrobot
PranalMadria/NBA-MVP-Predictor
Jun 2020 - Sep 2020
Using Machine Learning to predict the 2020 NBA MVP Winner and Votes won by top players.
Contributions:15 pushes, 1 branch in 2 months
votespythonplayersmvpdata-science
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