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.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of New Haven
Bachelor of Engineering - BE Computer Engineering, Bachelor of Engineering - BE Computer Engineering at University of Mumbai
: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
Contributions:13 commits, 12 pushes, 1 branch in 1 year 3 months
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