Aashish Prajapati

Joined Smart Solar Corporation (main office) in Japan under secondment contract. Continuing duties done at Smart Solar Nepal Corporation.

• Identifying and resolving bugs, errors, etc. with the customer support department.
• Documenting, testing, and preparing system releases.
• Monitoring and analyzing resource usage in AWS cloud to identify unnecessary or costly billings. Successfully reduced 30 - 40% AWS production cost.

Data Engineering

• Worked with Kinesis Firehose for real-time streaming of power data from IoT devices.
• Gained experience in building data pipelines to collect, transform and extract values from raw data. Used AWS services such as AWS Glue, Redshift, Athena, and tools like Pandas for transforming and analyzing data.
• Developed batch processing modules for time and resource intensive tasks using AWS Batch.
• Worked with JMA's primary and secondary area code classification and achieved more precise address mapping and accurate JMA weather warnings.

VPP Project

• Integrated current system with different energy and gas companies for transmission of power information and receipt of storage battery control signals.
• System interconnection was done by creating a B2B communication channel with API gateway and mTLS for authentication.
• Worked with AWS Security domain. Deploying applications inside private subnet within a VPC, and managing access in and out of the virtual cloud using route tables, endpoints, security groups etc.

Third party API integration

• Worked with JMA's system for weather forecast visualization in Smart AI web and mobile applications, and monitoring systems.
• Worked in development of real-time system that receives weather related warnings from JMA.
• Created APIs for integration by multiple power companies.

· Solar production system engineering company providing engineering and software services to Smart Solar Corporation Japan’s businesses.

· Developed a module for Smart AI device that measures power information from grid, distribution board, PCS etc. using CT sensor. Implementation was done using Java multithreaded architecture.

· Firmware project based on microservices architecture and consisted of microservices such as database, power measurement, cloud communication, REST API, etc.

· Worked in REST API development for Smart AI using Spring Boot, Hibernate, and PostgreSQL.

· Cloud server AWS. Power information from Smart AI device stored in AWS Cloud. There are web applications, mobile applications, and monitoring systems to view power data and control Smart AI devices.

· Worked in design, development, deployment, and maintenance of backend for web applications, mobile application, and monitoring system for Smart AI.

· APIs for web and mobile applications developed using Lambda functions and hosted on API gateway. Worked with different AWS services: S3, DynamoDB, IoT Core, EventBridge, Redshift, etc.

· Deployment of web applications in EC2 instances over Nginx server; Java applications over Apache Tomcat server.

· Prepare system releases, documentation, and test system before release.

· Worked in the development of human resource management system.

· Used HTML, CSS, JavaScript, Bootstrap, jQuery, JSPs, AJAX to create user friendly web interface.

· Developed backend services using Spring framework. Project based on MVC architecture, implemented using Spring MVC.

· Created multiple REST APIs to develop services for human resource management.

· Security implementation using Spring Security, role-based access control, and sessions.

· Worked with RDBMS MySQL using Hibernate ORM tool.