Ram Keerthy Athinarayanan Email & Phone Number

London, Ontario, Canada

Waterloo, Ontario, Canada

Waterloo, Ontario, Canada

Waterloo, Ontario, Canada

Waterloo, Ontario, Canada

Waterloo, Ontario, Canada

• Integrated Kafka to 10+ Dotnet core projects to eliminate the dependency over third-party API to achieve low coupling and high cohesion. This improved application speed where huge data is processed with lower latency.• Responsible for fixing code issues on SonarQube and Snyk to ensure that the backend codes are deployable using Jenkins CI/CD on Pivotal Cloud Foundry (PCF) smoothly.• Implemented a Natural Language Processing (NLP) logic to extract candidate details from various resume… Show more • Integrated Kafka to 10+ Dotnet core projects to eliminate the dependency over third-party API to achieve low coupling and high cohesion. This improved application speed where huge data is processed with lower latency.• Responsible for fixing code issues on SonarQube and Snyk to ensure that the backend codes are deployable using Jenkins CI/CD on Pivotal Cloud Foundry (PCF) smoothly.• Implemented a Natural Language Processing (NLP) logic to extract candidate details from various resume bundles for the resume screening process and improved the efficiency by 60 times.• Developed ETL on python and scaled up on Azure Databricks to process millions of claims in parallel. Implementation involved the usage of other Azure services like Storage Account, Key Vault, and Databricks-cli. Show less

Iit Madras Research Park, Chennai

• Developed a cloud-based application for managing files and converting them to the desired format using Angular frontend and .Net core backend. Development involved accessing AWS services like S3 storage, EC2 instances.• Handled loads in servers by implementing load balancer to satisfy the growing requirements of the company which involved sharing loads between two servers and complex routing logic.• Implemented an on-fly file transfer code on the backend to eliminate the memory… Show more • Developed a cloud-based application for managing files and converting them to the desired format using Angular frontend and .Net core backend. Development involved accessing AWS services like S3 storage, EC2 instances.• Handled loads in servers by implementing load balancer to satisfy the growing requirements of the company which involved sharing loads between two servers and complex routing logic.• Implemented an on-fly file transfer code on the backend to eliminate the memory bottlenecking which caused server overloading. This reduced the memory pressure on the server by 90%, making the code uses less memory.• Optimized the Angular frontend to render 3D objects using BabylonJS. The main idea is to render the 3D object part by part, this reduces the computational power and enhances the visual feel while rendering the 3D object.• To make our product more portable and unleash the power of accessing every service on the cloud at our palm, I developed Android and iOS application for the cloud services which are offered over the web. Show less

Chennai Area, India

• Designed shell scripts to handle several Gigabytes of log data for analyzing fraudulent and duplicate transactions of stocks which reduces manual intervention time from hours to minutes.• Implemented Master-Worker concept for solving web level queuing in servers and distributing the incoming request to several threads for balancing the load during the peak time of the stock market.• Developed microservices to distribute the API load among horizontally scalable servers to support huge… Show more • Designed shell scripts to handle several Gigabytes of log data for analyzing fraudulent and duplicate transactions of stocks which reduces manual intervention time from hours to minutes.• Implemented Master-Worker concept for solving web level queuing in servers and distributing the incoming request to several threads for balancing the load during the peak time of the stock market.• Developed microservices to distribute the API load among horizontally scalable servers to support huge transaction of stocks during peak time. Show less

Master'S Degree, Applied Computing

Bachelor Of Engineering (B.E.), Computer Science And Engineering, 8.0 Cgpa