Shinsmon Varghese

• Responsible for designing a web application for tracking client YTD revenue using Angular for UI and slang and python for APIs and backend.
• Responsible for upliftment of the Landing site for all the web applications.
• Created and managed batch jobs to fetch data for the web application on a daily basis.
• Migrated all the read-write jobs to the secondary IQ servers to balance the load between the IQ clusters.

• Optimized the Edison health link pipeline by reducing the size of Docker images using multi-staging builds and caching Image Layers.
• Responsible for finding vulnerabilities in Docker files and fixing them.
• Optimized docker images to reduce security threats by regularly scanning images using scanners like Sonarcube , limiting Container Resources, restricting user privileges, etc.

Traffic Sign Recognition

MFC510

• Grid Computing: Proposed and created multi-system-based tool to split tasks across systems to reduce manual effort and time.
• Machine Learning :Trained classifier for classification of rectangle signs using Principal Component Analysis (PCA) and Polynomial Classifier .
• Python Scripting : Wrote python scripts to automate redundant tasks like GUI clicks, data mapping.
• Worked independently to design, develop and test code for MFC510.

MFC410

• Data Preparation: Developed python toolchain to extract and process traffic sign images from recordings for MongoDb dump.
• Extract ground truth for signs and restructure them into new schema.
• Developed graph-based analysis tool to visually inspect and identify sign categories specific to countries based on their requirement.
• Data Selection: Tool Designed intuitive graphical user interfaces using knowledge of Python design patterns and database design to visually inspect, select and categorize samples as 'good' 'bad' or 'neutral'.
• Data Refinement: Refinement of signs using edge detection, to find best gradient, in order to best fit bounding boxes.

MongoDb Cluster Deployment.

• Deployment and maintenance of MongoDb cluster set up in current organization.
• Created and implemented database designs and data models.
• Identified issues within databases, performed troubleshooting and implemented effective solutions.
• Set up and controlled user profiles and access levels for each database segment to protect important data.

Restful API:

• Created Restful API for creating , updating ,deleting sign meta data from database server using Flask framework.