Yuvraj Chauhan

About Yuvraj Chauhan

Hi there, my name is Yuvraj Chauhan and I am currently a Tech Lead at Munich Re leading a critical MIB EHR integration to expand EHR Assessments in the insurance industry. I graduated with a B.S. in EECS and Data Science Minor at UC Berkeley. Technical Skills:• Programming Languages: Python, Java, Golang, C, R, JavaScript, TypeScript• Data Science & Analytics: PyTorch, Spark, NumPy, Pandas, Seaborn, Plotly, Tableau, Scikit-learn, Jupyter Notebook, Spyder, IPython• Frameworks: Echo Golang Web Framework, HTML, CSS, JSX, ReactJS, React Hook Form, Node.js, Webpack, Redux Toolkit, NextJS, Flask, JUnit.• Database: PostgreSQL, MySQL, Microsoft SQL Server, SQLite3• Tools/Packages: Github, Gitflow, IntelliJ, Squirrel (Go), UUID (Go), Validator (Go), BcryptJS, Prisma, Requests (Python), Pickle (Python), PyTest, Pipenv, Postman (RESTful API testing), Python Azure SDK, SQLAlchemy, OWASP ZAP (Vulnerability Assessment and Penetration Testing)• Cloud Technologies: AWS Lambda, S3, EC2, Amazon RDS, AWS API Management Gateway, Security Groups, Subnets, NACLs, Azure Blob Storage, Azure AAD, Azure Data Lake, Azure Key Vault.• CI/CD: Azure DevOps, Azure Pipelines• DevOps: Docker, Kubernetes, Terraform• Certifications: AWS Certified Cloud Practitioner, CCNA (Routing & Switching)

Experience

1. Tech Lead

   Munich Re

   Jun 2025 — Present · NY, US

   Designed and implemented a modular Python microservice framework for EHR Assessment integration using FastAPI, poetry, pydantic, alembic, black, flake8, Terraform (database deployment), and pytest - reducing integration development time by 40% and achieving 95% test coverage Accelerated SSO third-party client onboarding by 50% by through a secure selfservice OIDC-based authentication flow using Okta, and Gravitee API Developer portal. Led client walkthrough of OpenAPI spec and SSO process for easy integration Terraformed Azure Blob Storage Account, Private Endpoints, and Managed Identity RBAC to enable EHR Document and Assessment storage by Conductor MSI Optimized EHR ETL data ingestion pipeline runtime by 20% by leveraging Flyte, batching OpenAI API calls using jsonl files, and parallelizing FHIR resource transformations, writing output files to Iceberg JSON catalog Accelerated application build through migration of Azure DevOps CI/CD pipelines to GitHub Actions workflows leveraging GitHub CLI for automated migration, OIDC-based authentication between GitHub and Microsoft Entra ID (Identity Provider) using Managed Identities, Federated Identity Credentials, and Azure Container Registry for image storage. Mentored Senior Software Engineers on Azure PostgreSQL DBA-centric commands - Data Control Language commands and SELECT queries on information_schema - to view and grant least privilege access to Data Engineering team. Mentored Senior Data Scientist, and Directors on Databricks Delta Sharing best practices and configuration to facilitate TB-scale data sharing. Ingested raw data from four PostgreSQL databases across two servers using parameterized idempotent Python psycopg2 Airflow DAG supporting archival and incremental data loading.

Education

• Raffles Institution

  GCE 'A' Levels, H2 Physics, Chemistry, Math & Economics

• St Joseph's Institution (SJI)

  GCE 'O' Levels, English, Additional Math, Elementary Math, Physics, Chemistry, Biology, Combined Humanities, Hindi

• University of California, Berkeley

  B.S. Electrical Engineering and Computer Science (EECS) with a Minor in Data Science