Muaz Siddiqui
Software Developer at Lawyerr.ai
Gurugram, Haryana, India
Summary
👤
Senior🎓
Top SchoolMuaz Siddiqui is a software developer with a decade of hands-on experience who blends a strong quantitative background in geophysics (BS/MS from IIT Kharagpur) with practical data and product work. He has applied statistical rigor to reduce credit risk as a data analyst and now builds the tech stack for Lawyerr.ai, a startup delivering AI-driven legal solutions. Comfortable at the intersection of CS, neuroscience, and biology, he brings a research-minded approach to engineering problems and seeks collaborative research opportunities. Muaz is skilled at turning analytical insights into production features, pairing modeling and statistical analysis with end-to-end software delivery. Based in Gurugram, he combines startup grit with academic depth, often drawing on cross-disciplinary thinking to tackle complex data and system challenges.
11 years of coding experience
1 year of employment as a software developer
BS + MS, Geophysics, BS + MS, Geophysics at Indian Institute of Technology, Kharagpur
English, Hindi, Urdu, Arabic, Persian, Sanskrit, Bhojpuri
Github Skills (17)
lib10
nodejs-library10
logdna10
logging10
logger9
python9
logfile9
linux8
nodejs8
monitor8
windows7
agent6
ruby6
macos5
cli2
Programming languages (4)
Github contributions (5)
logdna/nodejs
Jul 2016 - Jun 2019
Node.js library for logging to LogDNA
Contributions:11 releases, 238 commits, 17 PRs in 2 years 10 months
logdnaloggingnodejs-library
logdna/python
Jan 2017 - Apr 2019
A python package for sending logs to LogDNA
Contributions:22 releases, 53 commits, 9 PRs in 2 years 3 months
logdnapython
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