Sampad Saha
Software Engineer - Ads Delivery at SmartNews
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolSampad Saha is a Senior Software Engineer based in Tokyo with a decade of experience building high-throughput distributed systems, real‑time data pipelines, and ads delivery platforms that handle billions of requests. Currently leading architecture and implementation for SmartNews’ Ads Delivery Platform, he specializes in turning ambiguous requirements into durable, scalable architectures and improving team engineering practices. His background spans stream-processing PAAS work at Yahoo! JAPAN (Storm, Flink, Kafka), migration to Kubernetes, and reliability-focused operations including Prometheus/Grafana-driven monitoring and capacity planning. An open-source contributor and former Google Summer of Code fellow, he has contributed documentation and core features to SymPy—bringing mathematical rigor and clear docs to complex code. Known for mentorship and raising engineering bar, he combines a strong fundamentals-first mindset with a curiosity that drives him to tackle the next hard systems problem.
10 years of coding experience
2 years of employment as a software developer
Higher Secondary, Science, Higher Secondary, Science at Jawahar Navodaya Vidyalaya, PuneSecondary, Secondary at Jawahar Navodaya Vidyalaya, DurgapurIIT JEE Coaching Scholarship, IIT JEE Coaching Scholarship at Dakshana FoundationIntegrated Masters', Mathematics and Computing, Integrated Masters', Mathematics and Computing at Indian Institute of Technology, Kharagpur
English, Japanese
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (4)
documentation10
pointer6
python5
computer-algebra-system4
Programming languages (4)
Github contributions (5)
sympy/sympy
Dec 2015 - Aug 2016
A computer algebra system written in pure Python
Role in this project:
Technical Writer
Technical WriterContributions:195 commits, 23 PRs, 299 comments in 8 months
Contributions summary:Sampad primarily contributed to improving the documentation of the SymPy library, with a focus on the tutorial and module documentation. They corrected errors in the printing tutorial, including typos and inconsistencies in references to the `repr` function. Furthermore, the user added detailed docstrings for methods within the DiracDelta and Heaviside functions and included new examples for enhanced clarity.
computer-algebra-systempythonmathcomputer-algebrascience
sampadsaha5/sympy
Dec 2015 - Aug 2016
Contributions:184 pushes, 31 branches in 8 months
pythoncomputer-algebra-systemalgebrapure-pythoncomputer-algebra
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