Developed large-scale interactive software applications to connect Amplitude data to internal, customer and partner systems using Java.

Improved scale, performance and availability of data collection and real time data processing pipeline using Java.

Designed and optimized core distributed components and services to move data between data warehouses and cloud storage, such as Snowflake, Databricks, BigQuery, S3 and GCS using Apache Kafka, Redis and AWS cloud infrastructure.

Utilized Kubernetes, Amazon EC2, Terraform and Jenkins for software testing, continuous integration and continuous deployment.

Worked with TypeScript, React and Redux to build user-friendly interfaces for Amplitude customers to interact with Amplitude products.

Implemented Infrastructure as Code using Terraform to automate and manage scalable, resilient cloud environments, ensuring efficient deployment and fault-tolerant infrastructure across AWS and GCP.

Led design and implementation of machine learning support systems using Python, Terraform with AWS cloud infrastructure including Amazon SageMaker and Amazon EC2 to Improve the experience for patients and physicians using 98point6’s on-demand text-based primary care App.

Automated annotation workflows, developed shared Python libraries and integrated machine learning tools into a consistent framework using AWS Serverless Application Model.

Collaborated with cross-functional teams to build machine learning operational infrastructure using Terraform and AWS Cloud Development Kit, applied modern best practices and made continual improvements in stability and performance.

Designed and built software tools in Python for data analysis, reporting and visualization by combining Python data visualization libraries including Matplotlib and Seaborn, Jupyter Notebook, AWS CloudWatch, and Tableau to improve work efficiency of data scientists and product managers.

Supported data science product feature experimentation with various machine learning libraries including Numpy, Pandas, TensorFlow, Scikit-learn and PyTorch by designing and building experimentation tools in Python using Flask with AWS Serverless Application Model and AWS SageMaker.