Anuj Vyas
Senior Software Engineer at BrowserStack
Mumbai, Maharashtra, India
Summary
👤
Senior🎓
Top SchoolAnuj Vyas is a Senior Software Engineer based in Mumbai with six years of experience building cloud-agnostic, microservice-driven backends and production ML tooling. He specializes in Python (Flask, FastAPI), SQL/ORMs, Docker/Kubernetes and both AWS and GCP, having architected 20+ microservices and serverless solutions that improved performance and cut costs across underwriting and SaaS products. At Quantiphi he led PoCs for 15+ client use cases, mentored teams of junior engineers, and delivered measurable gains (30% faster intake, 25% backend performance boost) while implementing RBAC and MFA for secure deployments. He maintains a hands-on interest in data science—publishing multiple ML projects and notebooks on GitHub—which complements his product work and informs pragmatic model-to-production decisions. Known for clear documentation and repeatable engineering (including a reusable Python package that raised efficiency 20%), he combines technical depth with a track record of operational impact.
6 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Information Technology, 9.58 CGPA, Bachelor of Engineering - BE, Information Technology, 9.58 CGPA at University of Mumbai
English, Hindi, Gujarati, Marathi
Github Skills (13)
scikit-learn10
pandas10
jupyter-notebook10
machine-learning10
regression10
python10
classification10
numpy10
scikit10
matplotlib9
deploying6
clustering5
seaborn4
Programming languages (2)
Github contributions (5)
anujvyas/Machine-Learning-Projects
Mar 2020 - Sep 2020
This repository consists of all my Machine Learning Projects.
Role in this project:
Data Scientist
Data ScientistContributions:89 commits, 88 pushes, 1 branch in 6 months
Contributions summary:Anuj uploaded multiple Jupyter Notebook files containing Python code for machine learning projects. These projects involve data analysis, model building, and prediction tasks related to house price prediction, diabetes prediction, admission prediction, and data scientist salary prediction. The commits demonstrate the application of machine learning techniques and the use of relevant libraries like Pandas, NumPy, Matplotlib, and Scikit-learn. The user appears to be actively working on various classification and regression projects.
seabornpythondata-sciencedeep-learningconsists
anujvyas/anujvyas
Jul 2020 - Aug 2021
Contributions:53 commits, 52 pushes, 1 branch in 1 year 1 month
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