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In-House ML Deployment Framework Development
Software Developer
5 months
Developed and maintained a proprietary Python framework designed internally to streamline and standardize machine learning model deployments across environments for business-critical applications at enterprise scale.
Key Responsibilities
- Collaborated closely with cross-functional teams, including core developers, internal users, and business stakeholders, to gather and analyze requirements for the framework.
- Refactored internal framework codebase, resulting in improved maintainability, code readability, and reduced technical debt.
- Enhanced developer experience by integrating automated monitoring capabilities with Databricks, eliminating manual configuration overhead for internal teams.
Technology Stack
Python
TensorFlow
Scikit-learn
Pandas
SQLAlchemy
CausalML
UV
pytest
SQL
PL/SQL
Spark SQL
SQLite
Databricks
Databricks Runtime
Unity Catalog
Databricks Clusters
SQL Warehouses
Asset Bundles
MLflow
CI/CD Pipelines
Azure DevOps
Azure
Azure Container Apps
Azure Container Registry
Azure Virtual Machine Scale Sets
Azure Key Vault
Azure Storage Accounts
Tags
#professional
#ml
#devops
#cloud