Chitral Puthran

Software Engineer III at JPMorgan Chase & Co.

Jersey City, New Jersey, United States
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Summary

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Senior
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Top School
Chitral Puthran is a Software Engineer III with 8 years of experience building production-grade data and Generative AI systems, currently delivering payment reporting and reconciliation pipelines at JPMorgan Chase using AWS Glue, Step Functions, Athena, Terraform, and Python. He specializes in scalable ETL, cloud infrastructure, and data integration—having built robust pipelines that reconcile merchant payouts and surface inconsistencies to mitigate financial risk. Prior roles include designing APIs, database integrations, and containerized services for broadband clients at TCS, and large-scale time-series data collection during a Nokia Bell Labs internship. Based in Jersey City, he pairs an MS in Computer Science with pragmatic engineering discipline to ship reliable systems under tight deadlines. Notably, he combines hands-on data engineering with infrastructure-as-code practices, enabling both fast iteration and production reliability.
code8 years of coding experience
job5 years of employment as a software developer
bookMaster of Science - MS Computer Science, Master of Science - MS Computer Science at University of New Haven
bookBachelor of Engineering - BE Computer Engineering, Bachelor of Engineering - BE Computer Engineering at University of Mumbai
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Github Skills (17)

web-application7
resnet7
backend7
flask7
moai7
keras6
machine-learning5
python5
deep-learning4
tensorflow4
single-page3
css2
sass2
javascript2
docker1

Programming languages (2)

HTMLPython

Github contributions (5)

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:moyai: Moai is a web application made with the help of Flask, a microframework for Python based on Werkzeug, Jinja 2, and good intentions. On the backend, a deep learning model (ResNet-50) is classifying the given image file into various categories.
Contributions:33 PRs, 46 pushes, 2 branches in 5 years 7 months
pythonmicroframeworkjinjadeep-learningflask
Contributions:13 commits, 12 pushes, 1 branch in 1 year 3 months
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