An easy-to-deploy, reliable, & highly scalable log observability platform for distributed applications. After a one-step deployment to AWS, it autoscales using Kubernetes & maintains high reliability with a Kafka cluster.

• Developed a streamlined deployment process using AWS CDK that provisions cloud infrastructure, reducing a complex 15+ step workflow to a single command.

• Engineered a high-throughput log streaming pipeline using Kafka with 3-broker replication, designed to handle several terabytes of logs daily while ensuring reliable data delivery.

• Containerized and deployed the Unilogs platform components into a Kubernetes cluster, enabling automatic horizontal & vertical scaling to handle 4+ TBs of logs per day.

• Built a CLI tool for deploying Dockerized Vector log shipper, automating parsing for common & custom log formats.

• Implemented end-to-end security for log shipping infrastructure by leveraging AWS SDK to dynamically retrieve Kafka endpoints & TLS certificates, while integrating SASL authentication to strengthen data protection protocols.

• Resolved Kubernetes service permissions according to AWS IAM specifications, enabling log aggregators to write to S3 buckets for long-term storage.

• Authored & edited a comprehensive case study with technical documentation and infographics for unilogs.github.io.

Designed and built multiple open source projects:

• RAGatouille - Created full-stack RAG application enabling users to search and get context-aware answers from a diverse recipe collection using Node.js, TypeScript, OpenAI API, LangChain, PostgreSQL/pgvector, and React.

• WebBasket - Developed a full-stack webhook testing tool that creates temporary endpoints to capture, store, and visualize HTTP requests from API clients. Built with Digital Ocean, Nginx, MongoDB, Node.js, Express, and React, featuring real-time request inspection and programmatic access via API.

• Threddit - Developed full-stack forum application enabling user authentication, topic creation, and threaded discussions with pagination. Built using Ruby, Sinatra, ERB templates, and PostgresSQL.

• Provided medical care across urgent, emergency, & primary care settings to patients of diverse backgrounds & ages.

• Demonstrated calm, effective clinical decision-making in fast-paced environments while collaborating with multidisciplinary teams to optimize workflow.

• Built strong patient relationships through clear, empathetic communication that improved treatment adherence and enhanced patient experience.