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Hiran Landekumbura OCT
August 12345
I cannot directly inspect your local http://localhost:3200 from here, so below is the module-wise payroll gap checklist you should compare against the current implementation. This is structured for a Sri Lankan payroll system where all data should contribute to automatic payroll generation, but still remain adjustable/editable before final approval. For Sri Lanka payroll standards, the system should support configurable EPF employee contribution 8%, EPF employer contribution 12%, ETF employer contribution 3%, and APIT using Inland Revenue Department tax tables. These should be settings-driven, not hard-coded I cannot directly inspect your local http://localhost:3200 from here, so below is the module-wise payroll gap checklist you should compare against the current implementation. This is structured for a Sri Lankan payroll system where all data should contribute to automatic payroll generation, but still remain adjustable/editable before final approval. For Sri Lanka payroll standards, the system should support configurable EPF employee contribution 8%, EPF employer contribution 12%, ETF employer contribution 3%, and APIT using Inland Revenue Department tax tables. These should be settings-driven, not hard-coded I cannot directly inspect your local http://localhost:3200 from here, so below is the module-wise payroll gap checklist you should compare against the current implementation. This is structured for a Sri Lankan payroll system where all data should contribute to automatic payroll generation, but still remain adjustable/editable before final approval. For Sri Lanka payroll standards, the system should support configurable EPF employee contribution 8%, EPF employer contribution 12%, ETF employer contribution 3%, and APIT using Inland Revenue Department tax tables. These should be settings-driven, not hard-coded I cannot directly inspect your local http://localhost:3200 from here, so below is the module-wise payroll gap checklist you should compare against the current implementation. This is structured for a Sri Lankan payroll system where all data should contribute to automatic payroll generation, but still remain adjustable/editable before final approval. For Sri Lanka payroll standards, the system should support configurable EPF employee contribution 8%, EPF employer contribution 12%, ETF employer contribution 3%, and APIT using Inland Revenue Department tax tables. These should be settings-driven, not hard-coded I cannot directly inspect yo
skillbook.lk/p/ECDt4Mw
Charith Chinthaka new
Charith Chinthaka new 1213
new Aarav Vardhan Sharma is a highly motivated and results-oriented Senior Software Engineer born on October 14, 1998. Professionally established in Bangalore, Karnataka, Aarav is a single Indian national who speaks English, Hindi, Punjabi, and elementary German. He holds a Bachelor of Technology in Computer Science from the Apex Institute of Technology, graduating in 2020 with an impressive 8.9 CGPA. Prior to his higher education, he completed his secondary and higher secondary schooling at St. Xavier’s Senior Secondary School, consistently maintaining top-tier academic marks, including a 92% score in his physics, chemistry, and mathematics stream. Over the past four years, Aarav has built a comprehensive career designing, developing, and deploying robust cloud-based applications, specializing in full-stack architecture, microservices, and complex database optimization across agile team environments. His extensive technical toolkit includes proficiency in programming languages such as Java, Python, JavaScript, and SQL, alongside deep development familiarity with modern frameworks like Spring Boot, Django, Node.js, and React.js. On the infrastructure side, he actively utilizes Amazon Web Services—specifically EC2, S3, and RDS—complemented by containerization and automation tools like Docker, Kubernetes, Jenkins, and Git. In his current role as a Senior Software Engineer at Nexus Tech Solutions, which he stepped into in June 2023, Aarav successfully led a team of four developers to migrate a major legacy monolithic application into a microservices architecture, effectively raising system uptime to a remarkable 99.9%. Furthermore, he designed and integrated secure RESTful APIs that successfully manage over fifty thousand daily active users while lowering system response times by 40% through targeted Redis caching and database query optimization. Before this, between August 2020 and May 2023, Aarav worked as a Software Engineer for Innovate Digital Labs in Gurgaon. During this tenure, he engineered backend services for a high-traffic e-commerce platform using Python and Django, built automated CI/CD pipelines that cut deployment errors by 25%, and regularly collaborated with UI/UX designers to bring modern, responsive frontend components to life.
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Hiran Landekumbura OCT
August 12345
Polgahawela August, Sri Lanka
I cannot directly inspect your local http://localhost:3200 from here, so below is the module-wise payroll gap checklist you should compare against the current implementation. This is structured for a Sri Lankan payroll system where all data should contribute to automatic payroll generation, but still remain adjustable/editable before final approval. For Sri Lanka payroll standards, the system should support configurable EPF employee contribution 8%, EPF employer contribution 12%, ETF employer contribution 3%, and APIT using Inland Revenue Department tax tables. These should be settings-driven, not hard-coded I cannot directly inspect your local http://localhost:3200 from here, so below is the module-wise payroll gap checklist you should compare against the current implementation. This is structured for a Sri Lankan payroll system where all data should contribute to automatic payroll generation, but still remain adjustable/editable before final approval. For Sri Lanka payroll standards, the system should support configurable EPF employee contribution 8%, EPF employer contribution 12%, ETF employer contribution 3%, and APIT using Inland Revenue Department tax tables. These should be settings-driven, not hard-coded I cannot directly inspect your local http://localhost:3200 from here, so below is the module-wise payroll gap checklist you should compare against the current implementation. This is structured for a Sri Lankan payroll system where all data should contribute to automatic payroll generation, but still remain adjustable/editable before final approval. For Sri Lanka payroll standards, the system should support configurable EPF employee contribution 8%, EPF employer contribution 12%, ETF employer contribution 3%, and APIT using Inland Revenue Department tax tables. These should be settings-driven, not hard-coded I cannot directly inspect your local http://localhost:3200 from here, so below is the module-wise payroll gap checklist you should compare against the current implementation. This is structured for a Sri Lankan payroll system where all data should contribute to automatic payroll generation, but still remain adjustable/editable before final approval. For Sri Lanka payroll standards, the system should support configurable EPF employee contribution 8%, EPF employer contribution 12%, ETF employer contribution 3%, and APIT using Inland Revenue Department tax tables. These should be settings-driven, not hard-coded I cannot directly inspect yo