Anurag Aggarwal
Software Engineer at Tetrate
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolAnurag Aggarwal is a software engineer with 8 years of experience building programmable networking systems for cloud-native and AI workloads, currently engineering cloud solutions at Tetrate in Bengaluru. He has a strong background in cloud platforms from roles at Flipkart and HackerRank and practical backend and search experience from Vedantu. Anurag contributes to open-source machine learning tooling—having improved model testing, parallel repo cloning, and training efficiency in Mozilla’s notable bugbug project—which reflects his blend of infrastructure and ML engineering. His work spans low-level C optimizations from a GSoC with the XaoS project to production cloud services, showing both systems-level rigor and product-focused delivery. Colleagues describe him as a pragmatic problem-solver who pairs empirical experimentation (A/B testing) with automation to make complex distributed systems reliable and scalable.
8 years of coding experience
3 years of employment as a software developer
B.Tech, Information Technology, 1st, B.Tech, Information Technology, 1st at Guru Gobind Singh Indraprastha University
Github Skills (10)
scikit10
machine-learning10
python10
ml10
scikit-learn10
testing9
parallel-processing8
ai7
developer-tools7
git6
Programming languages (11)
Github contributions (5)
mozilla/bugbug
Jul 2019 - Sep 2019
Platform for Machine Learning projects on Software Engineering
Role in this project:
ML Engineer
ML EngineerContributions:6 commits, 12 PRs, 43 comments in 2 months
Contributions summary:Anurag contributed to the development and testing of machine learning models within the `bugbug` repository. Their work included adding test cases for the Uplift model, incorporating labels into confusion matrices, and printing feature importances. They also optimized the training process by refactoring the code to download datasets using the `db.download` function and introduced parallel cloning of repositories for improved efficiency.
engineeringmachine-learningmachine-learning-projectsaideveloper-tools
kanurag94/istio
Nov 2022 - Feb 2025
Connect, secure, control, and observe services.
Contributions:31 pushes, 8 branches in 2 years 4 months
golangsecuresecuritykubernetesobserve
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