Anirban C
Research Software Engineer at Northern Arizona University
Flagstaff, Arizona, United States
Summary
🤩
Rockstar🎓
Top SchoolAnirban C is a Research Software Engineer with seven years of experience building reliable, server-side systems and scientific tooling, currently optimizing backend services for urban flood monitoring at Northern Arizona University. He blends low-level systems skills in C/C++ and Unix with practical expertise in Python, Django, PostgreSQL and AWS, informed by research work on flight software testing at NASA JPL. An active open-source contributor and Google Summer of Code alumnus, he has delivered algorithm implementations in R and built a novel asymptotic complexity testing framework (testComplexity) used to benchmark and classify algorithmic performance. A practiced educator and mentor, he has guided students and reviewed contributions for the R Foundation while translating research into reproducible tooling. Curious and detail-oriented, he pairs hobbyist experimentation (early Lua modding and game module development) with rigorous software engineering for safety-critical and scientific domains.
7 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Computer Science, 4.0/4.0, Bachelor's degree, Computer Science, 4.0/4.0 at An average university, but mostly the Internet (YouTube, Blogs, Courses, Documentation, etc.)Master's degree, Computer Science, 4.0/4.0, Master's degree, Computer Science, 4.0/4.0 at Northern Arizona University
Japanese, French, English, Assamese, Hindi
Github Skills (9)
data-structures10
algorithms10
data-structure10
r10
sorting-algorithms10
ed255198
tactics7
act7
machine-learning7
Programming languages (16)
Github contributions (5)
TheAlgorithms/R
Jul 2020 - May 2021
Collection of various algorithms implemented in R.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:17 reviews, 28 commits, 17 PRs in 10 months
Contributions summary:Anirban contributed significantly to the repository by implementing various algorithms in R, including sorting algorithms such as bubble sort, selection sort, quick sort, merge sort, radix sort, and heap sort. They also added notes and examples for using these algorithms and made code improvements, addressing spacing and variable names. Moreover, they updated existing code and corrected some errors in the existing sorting algorithms.
regressionr-programmingdata-miningstatistical-learningmachine-learning
Anirban166/C-Codeline
May 2019 - Oct 2019
Contributions:295 commits, 293 pushes, 1 branch in 4 months
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