Krish Shah

About Krish Shah

I am a Python developer specializing in backend development, data engineering, and API integration. My experience includes working with Python, SQL, Django, FastAPI, and cloud platforms such as AWS and Azure to build scalable applications and optimize data workflows.I have hands-on experience in developing ETL pipelines, managing MySQL databases, and leveraging Google Cloud BigQuery and Power BI for data visualization and reporting. Additionally, I have worked with CI/CD automation tools like Jenkins and GitLab, ensuring efficient deployment processes.Passionate about problem-solving and data-driven decision-making, I enjoy developing solutions that enhance system performance and operational efficiency. I am always eager to learn new technologies and collaborate with teams to build innovative, high-impact applications.

Experience

1. Python Engineer

   Airbnb

   Jan 2024 — Present

   As a Python Engineer at Airbnb, I design and implement scalable backend systems and full-stack applications that power the company’s booking, messaging, and data-driven platforms. I build and maintain high-performance RESTful APIs using Python frameworks such as FastAPI and Flask, significantly improving reliability and reducing page load times by 35%. My work spans full-stack development with React.js on the frontend and Python/Django on the backend, driving seamless user experiences for millions of users worldwide.In addition to software engineering, I lead automation across DevOps processes using Python, Bash, and Terraform—streamlining CI/CD workflows with GitHub Actions and Jenkins. I’ve deployed containerized and serverless applications through Docker, Kubernetes, and AWS (ECS, EKS, Lambda, S3, RDS), reducing deployment failures by 70% and cutting infrastructure costs by 30% through right-sizing and auto-scaling strategies.I also contribute to Airbnb’s research-driven initiatives by prototyping algorithms in NumPy and SciPy, later scaling them into production APIs. My work with PostgreSQL, SQLAlchemy, and Redis supports real-time performance for millions of users, while backend optimization and profiling have reduced API latency by up to 40%.I apply best practices in security and observability, building robust authentication workflows with OAuth2, JWT, and MFA, and automating infrastructure security checks with Python and AWS Config—resulting in a zero critical-vulnerability audit. I also leverage MLflow and DVC for model versioning and experiment tracking, ensuring reproducibility and faster ML deployment cycles.This role has strengthened my expertise in Python, FastAPI, Flask, Django, React.js, AWS, Docker, Kubernetes, Terraform, PostgreSQL, CI/CD, and MLOps, while enabling me to deliver scalable, secure, and high-impact solutions that power Airbnb’s global ecosystem.

Education

• Penn State University

  Bachelor of Applied Science - BASc, Computer Programming, Specific Applications