Sayak Banerjee
Quantitative Researcher
New York, New York, United States
Summary
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Senior🎓
Top SchoolSayak Banerjee is a quantitative researcher and MCDS candidate at Carnegie Mellon with nine years of experience bridging data engineering, machine learning, and applied NLP for finance and enterprise AI. He has built production-grade RAG-based assistants and optimized search and ranking pipelines—reducing latency and token costs while improving recall—after years managing alternative financial datasets and ETL at a US hedge fund. His research record includes five Scopus-indexed papers and IEEE presentations, and he contributes to experimental work on privacy economics and operationalizing AI as a CMU research and teaching assistant. Technically fluent in Python, PySpark, TensorFlow, C++, SQL and Snowflake, he also prototypes practical retrieval workflows (PDF table extraction to vector DBs) and dynamic embedding fallbacks for robust SLAs. Based in New York, Sayak combines production impact with rigorous research instincts, making him adept at turning cutting-edge language-model research into reliable, cost-conscious systems.
9 years of coding experience
3 years of employment as a software developer
BTech - Bachelor of Technology Electronics and Communications Engineering, BTech - Bachelor of Technology Electronics and Communications Engineering at Vellore Institute of TechnologyMathematics and Computer Science, Mathematics and Computer Science at South Point High School, KolkataMaster of Computational Data Science, Master of Computational Data Science at Carnegie Mellon University
Hindi, English, Bengali
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (34)
backbone8
testing7
mock-server7
visualizer7
cucumber7
camera7
brainfuck7
load-testing6
image-editing6
flash6
bdd6
testng6
qt6
api-testing5
music-composition5
Programming languages (5)
Github contributions (5)
shayakbanerjee99/shreiten
May 2019 - May 2020
Contributions:42 commits, 4 PRs, 29 pushes in 1 year
shayakbanerjee99/g3-web-dev-project
Aug 2020 - Oct 2020
Contributions:32 pushes, 5 branches, 2 comments in 1 month
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