Binaya Chaudhary
Senior Software Development Engineer at Thomson Reuters
Old Toronto, Ontario, Canada
Summary
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Rockstar🎓
Top SchoolBinaya Chaudhary is a Senior Software Development Engineer with a decade of experience building high-performance, user-focused web platforms across startups and enterprise environments. He specializes in backend-heavy full-stack development—Go, Node.js, PostgreSQL and event-driven systems with Redis and Kafka—while shipping polished React/TypeScript front-ends. Notable accomplishments include leading a production-grade PDF editor with real-time e-signatures and payments, improving backend throughput 4x via smarter job queueing, and slashing CI/CD times by half with custom pipelines. He thrives in small teams owning features end-to-end and has a research background in NLP and machine translation, reflecting an unusual blend of product delivery and academic rigor. Currently based in Toronto, he’s focused on opportunities that demand complex backend, real-time APIs, or performance-sensitive platforms where engineering quality and UX matter.
10 years of coding experience
6 years of employment as a software developer
Postgraduate Degree, Artificial Intelligence and Machine Learning, Postgraduate Degree, Artificial Intelligence and Machine Learning at Lambton CollegeSchool Leaving Certificate, School Leaving Certificate at Baylor International AcademyBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Kathmandu University
Stackoverflow
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Github Skills (70)
javascript10
async10
rest10
typescript10
vue10
fetch10
svelte10
asynchronous10
stale-while-revalidate10
redux10
graphql10
state-management10
react-query10
react10
vue-query10
Programming languages (8)
Github contributions (5)
binayachaudari/Dev-Connect
Aug 2019 - Feb 2021
MERN stack front to back (React & Node JS)
Contributions:2 reviews, 6 PRs, 53 pushes in 1 year 6 months
reactexpressjsnode-jsexpressmern
binayachaudari/EPL-predict-2019
Jan 2019 - May 2021
EPL-Prediction-2019 is a mini project of Kathmandu University, Machine Learning COMP-484. This repo contains dataset, trained models, fixtures of EPL season 2018/2019 and IPython Notebook (ipynb) file.
Contributions:14 commits, 2 PRs, 15 pushes in 2 years 4 months
ipynbpythoneplpredictiondata-science
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