- Designing and provisioning infrastructure solutions in the cloud 
- Assembling a product wide monitoring and alert system
- Automating tasks to scale systems and for cost optimization
- Applying automatic scaling solutions around the infrastructure

Infrastructure Engineer

- Creating systems to manage data and real-time data streams
- Creating indexing solutions for data
- Designing and developing end-to-end solutions around the product
- Writing horizontally scalable micro services for applications

R&D Engineer

Software Engineer

I have experience building end to end solutions mostly in Python ranging from something as simple as scrapers to rest frameworks, webapps and a lot more.

Working at a Django based startup, I have experience writing clean, generic, scalable and extensible code, and enforcing good design. 

Have experience working with production level deployments SQL and PostgreSQL, designing relationships and tables, optimized querying etc.

MongoDB was the first database I started working on and went ahead to get a certification too from MongoDB university. I have worked on various use cases where we had to use it as a document store and for data processing at a production scale.

Git being the only version control system I have ever used, I know my way around the command line and use it on almost every one of my projects.

As my job also involves some amount of devops work, I know my way around the aws console.

I have used Elasticsearch in production level projects buiilding suggestion frameworks and data aggregation tools which involved indexing large amounts of data by providing efficient mappings and creating smart analyzers for easy querying and intelligent results. 

A backend developer who loves to connect the dots!

Karthik Srivatsa

This is supervisord on steroids. A distributed process management system.

Personal details

Karthik S.

Summary

Technical skills

Work Experience

Personal Projects