Naveen. S

Results-oriented and innovative Senior Software Engineer with 5.3+ years of experience. Easily communicates complex technical requirements to non-technical stakeholders. Excellent leadership record of leading development teams in enterprise-wide development projects.

• Worked closely with other business analysts, development teams and infrastructure specialists to deliver high availability solutions for mission-critical applications.
• Trained and mentored junior developers and engineers, teaching skills in React JS and Node JS and working to improve overall team performance.
• Delivered unit-tested systems with required characteristics and within customer-prescribed timeframes.
• Implementing Restful Services using ExpressJs and MySQL database in Nodejs platform. Used AWS Stack (API Gateway, Lambda, S3, Cognito, SES, IoT, Kinesis, FireHose, Athena) as per business requirements.
• Involved in AWS infrastructure configuration with different service.
• Configured the Security to the Restful services with Cognito and JWT. Consumed the Restful Services on client side using axios and integrated with React Js.
• Involved in deployment procedure with dev ops team.
• Debugged code and located root causes of problems by reviewing configuration files and logs.

PROJECT 3 : VOLVO Connect

Technologies Used : Node Js, React Js, AWS Services like (Lambda, S3, API Gateway, SES, SNS and other AWS Services).

Team Size : 10

Description:

· Statistical Process Control (SPC) is an industry-standard methodology for measuring and controlling quality during the manufacturing process.

· Quality data in the form of Product or Process measurements are obtained in real-time during manufacturing.

· This data is then plotted on a graph with pre-determined control limits.

· Control limits are determined by the capability of the process, whereas specification limits are determined by the client's needs.

PROJECT 2 : SPC (Statistical Process Control)

Technologies Used : Node Js, React Js, AWS Services like (AWS IoT, Kinesis, Lambda, Fire Hose, S3, Athena, API Gateway, SES, SNS and other AWS Services).

Team Size : 12

Description:

· Statistical Process Control (SPC) is an industry-standard methodology for measuring and controlling quality during the manufacturing process.

· Quality data in the form of Product or Process measurements are obtained in real-time during manufacturing.

· This data is then plotted on a graph with pre-determined control limits.

· Control limits are determined by the capability of the process, whereas specification limits are determined by the client's needs.

PROJECT 1 : MOB ANALYTICS

Technologies Used : AWS-SDK (SQS, SNS, S3, Lambda),MySQL, GitLab, Node Js, React Js, Express Js

Team Size : 6

Description:

· It is analytics application for Fleet Managers. It is been implemented based on SAS application model.

· Fleet Managers will set up the MOB devices to their vehicles these Devices will capture the 50 to 120 PID values based on MOB types. These values are recorded and they will send to SPS using data sources REST API and FTP.

· These received data and files will be processed by SPS and store in MySQL, This data will send to BDS using protobuf’s, it will compute these values and sends the results back the SPS using web hock methodology. This data will display to fleet managers as analytics when requested.