Designing high-performance architectures for the modern cloud.
View ProjectsExpertise in building robust microservices using Python (Django, FastAPI) and Go. Focusing on high availability and fault tolerance.
AWS (EC2, Lambda, S3), Kubernetes, Docker, and Terraform for infrastructure as code.
PostgreSQL, Redis, MongoDB. Designing schemas for scale and performance.
Implementing consensus algorithms, event-driven architectures (Kafka, RabbitMQ), and ensuring data consistency across distributed nodes.
Generative AI Discovery Engine @CalHacks 12.0
Designed a Generative AI discovery engine using vector embeddings, ChromaDB, Fetch.ai agents, and dimensionality reduction to visualize sparse research clusters in 3D and auto-suggest novel, feasible research topics with starter code.
High-Scale Email Marketing & Analytics Suite
Built an email marketing/analytics suite capable of handling 100K+ emails/month at under $50 infrastructure cost. Features bulk email delivery, real-time event ingestion, and engagement tracking powered by real-time analytics pipelines.
Open-Source CLI Tool (41K+ Downloads)
Created an open-source CLI tool to automate Flask project scaffolding, including WebSocket integration, database initialization, and testing frameworks. Reduced developer onboarding time from hours to minutes.