Aditya Sathe

Senior Software Engineer at Bloomberg

Pune, Maharashtra, India
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Summary

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Senior
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Aditya Sathe is a senior full-stack software engineer based in Pune with 10 years of experience building scalable, real-time systems and integrations for high-volume tenants. Currently at Bloomberg after five impactful years at IDeaS Revenue Solutions, he designed orchestration and messaging flows to migrate partners and process large streams of hotel booking data while mentoring interns and leading POC efforts. He has a strong backend focus, demonstrated by meaningful open-source contributions to the core of IPython—improving magic command handling and input transformation to boost compatibility and developer experience. A high-performing engineer academically (BTech, COEP, 9.22/10), he blends production-grade service design with hands-on refactoring that quietly reduces technical debt and improves long-term maintainability.
code11 years of coding experience
job6 years of employment as a software developer
bookBachelor of Technology - BTech, Computer Engineering, 9.22/10, Bachelor of Technology - BTech, Computer Engineering, 9.22/10 at College of Engineering Pune
bookHSC, General Science, 94.00%, HSC, General Science, 94.00% at Mahatma Gandhi Mahavidyalaya, Ahmedpur
languagesEnglish, Hindi, Marathi
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Stackoverflow

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Github Skills (8)

notebook10
ipython10
python10
jupyter9
rep8
replit8
testing8
repr8

Programming languages (8)

TypeScriptC#HCLJavaCJavaScriptLuaPython

Github contributions (5)

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ipython/ipython

May 2017 - Nov 2020

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Role in this project:
userBack-end Developer
Contributions:11 commits, 6 PRs, 20 comments in 3 years 6 months
Contributions summary:Aditya primarily contributed to refactoring and enhancing the IPython project's core functionality, specifically related to magic commands and input transformation. They addressed existing issues by replacing deprecated methods and improving how magic commands are handled within the IPython environment. These changes included modifying code in key modules such as inputtransformer.py, prefilter.py, and interactiveshell.py, and included testing. These changes improved IPython's compatibility and functionality.
ipythonjupyterdata-sciencenotebookpython
This is a simple school timetable scheduler. This miniproject is terminal based and the application generates timetable which satisfies all the hard constraints.
Contributions:2 PRs, 21 pushes, 3 branches in 5 years 4 months
schedulerschool-timetableminiprojectterminaltimetable
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