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Raghu Ram Karra
SDE 2 at Amazon
About
Raghu Ram Karra is a skilled Full Stack Developer with over 5 years of experience in the field. As a Software Engineer at Amazon, he has gained expertise in various technologies such as Python/Django, Node/Express, PostgreSQL, Redis, web architecture design & planning, and cloud server management. Raghu is an independent executer who can work without constant support/supervision, and a good team player who is willing to take responsibility for the core components of any software product and the team. He has a proven track record of delivering high-quality software products and has worked on various projects throughout his career. In his previous role as a Software Engineer at Mindfire Solutions, Raghu implemented a full-stack application using Python and Django framework to provide an interface for a group of auto repair service store owners and managers to gather meaningful insights about sales, revenue call conversion, customer retention, etc. He also integrated multiple data ingestion (RSS feeds, Ringcentral call logs) and background task processing in near real-time using Celery and Redis. Raghu optimized over 700 SQL queries by clearly analyzing query patterns and taking actions like indexing, sub querying, lazy loading. He designed an intuitive GUI using Bootstrap CSS and jQuery and displayed interactive graphs and dynamically loading panels using JavaScript promises. As a Lead Web System Developer at Taiyō, Raghu led the R&D team to scale machine learning operations using Airflow and Kubernetes. He designed a microservice-based architecture created using Java and Spring for the API backend. Raghu worked closely with the Machine Learning team to build modular scripts to train and deploy models quickly. He also created API wrappers for bond price indicators via web scraping and improved productivity of the team by 50%. Raghu harvested geopolitical data from GDELT for visualization and insights to be used by the team for better stock price predictions. Raghu holds a Bachelor's degree in Computer Science from Veer Surendra Sai University of Technology (formerly UCE), Burla, and completed a Bootcamp in Computer Science from Scaler Academy. His tech stack includes Software Engineering, Web, Redis, Python, Django, SQL, JavaScript, ML, Spring, AWS, Apache Airflow, Kubernetes, Spring Boot, Microservices, and Backend.
Education Overview
• veer surendra sai university of technology (vssut,formerly uce), burla
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Experience Overview
6.6 Years
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