Junaid Z
Senior Software Engineer at LinkedIn
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolJunaid Z is a Senior Software Engineer based in Bengaluru with 8 years of hands-on experience building scalable, secure backend systems across fintech and SaaS domains. He has driven high-impact projects from re-architecting monoliths into microservices and geo-sharding MongoDB to migrating authentication for 500k+ users and implementing multi-factor auth and SSO integrations. His background includes Amazon payments risk systems and real-time streaming architectures for market data, reflecting strong expertise in reliability, observability, and fraud detection. At Fi and Forma he designed reconciliation pipelines, plugin-based aggregators, and production-grade gRPC streaming, often owning end-to-end design, implementation, and operational runbooks. An active open-source contributor, he implemented core ML algorithms (Naive Bayes, SVM, decision trees, matrix factorization) in the widely used OpenGenus Cosmos dataset, showing a blend of systems and data science fluency. Known for mentoring interns and writing SOPs, he pairs deep technical execution with documentation and onboarding discipline.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at Indian Institute of Information Technology, SriCity
English, Malayalam, Hindi
Github Skills (13)
data-structures10
decision-tree10
machine-learning10
python10
data-structure10
matrix-factorization9
algorithms8
scikit8
scikit-learn8
algorithm7
searching-algorithms6
searching6
sorting-algorithms4
Programming languages (3)
Github contributions (5)
OpenGenus/cosmos
Jul 2018 - Sep 2018
World's largest Contributor driven code dataset | Used in Quark Search Engine, @OpenGenus IQ, OpenGenus Visual Project
Role in this project:
Data Scientist
Data ScientistContributions:7 commits, 10 PRs in 1 month
Contributions summary:Junaid contributed code related to machine learning algorithms within the cosmos repository. Specifically, the user implemented a Naive Bayes Classifier in Python. Additionally, the user implemented matrix factorization, and developed code for a decision tree utilizing information gain, and implemented a Support Vector Machine.
search-engineopengenusdatastructuresoffline-appsorting-algorithms
junaidnz97/eva-ws
May 2019 - Sep 2019
European Variation Archive REST web services API
Contributions:248 pushes, 20 branches in 3 months
apiweb-services-apieuropeanapi-servicesarchive
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