Junior Software Engineer at Nanoputian

Developed robust integration pipelines in JavaScript/TypeScript to synchronise data between HR, payroll, scheduling and asset management systems using Nanoputian AWS-based infrastructure, enabling real-time data consistency and eliminating manual intervention. Developed reusable base test suites with TypeScript and Jest, accelerating UAT phase by more than 50%. Designed and implemented CI/CD pipelines leveraging GitHub Actions, AWS S3, and Lambda to automate deployments across environments, eliminating manual release steps. Enhanced proactive alerting mechanisms integrating Microsoft Teams, Outlook, and Slack with AWS services, significantly reducing incident response time. Built Grafana dashboards backed by CloudWatch metrics to monitor Lambda metrics, improving observability and reducing downtime. Developed a NanoV3 Coding Agent within a Retrieval-Augmented Generation framework, reducing integration development time from days to minutes.

Software Developer Intern at Nanoputian

Created integration pipelines in JavaScript/TypeScript synchronizing various HR and payroll systems using AWS infrastructure. Developed automated testing suites with Jest. Built CI/CD pipelines with GitHub Actions and AWS services. Integrated real-time alerting systems via Microsoft Teams, Outlook, and Slack. Deployed monitoring dashboards using Grafana and CloudWatch. Implemented a contextual code generation agent reducing development time significantly.

Software Developer Intern at CopilotHQ

Designed and implemented a secure AWS-based data pipeline allowing Power BI to access voice call metadata while overcoming IP restrictions using AWS Lambda, API Gateway, VPC, and NAT Gateway. Developed AI-powered automation Proof of Concepts on Microsoft Azure Functions using Microsoft Graph API and Azure OpenAI, optimizing document processing with PDF-to-PNG conversion, improving classification accuracy. Implemented CI/CD pipelines via GitHub Actions to automate testing and deployment.

Research Assistant at Queensland University of Technology

Investigated Linux Kernel runtime behaviors using Strace and eBPF technologies. Developed a methodology to detect runtime faults in microservices and evaluated their consistency, achieving 100% detection accuracy in testing REST API, NodeJS Login system, and MySQL databases. Conducted SQL injection attack simulations and database manipulations to assess detection method effectiveness. Maintained a GitHub repository for microservice evaluation.

Phantom Domain-Detecting Browser Extension Developer at Queensland University of Technology

Optimized domain processing pipelines filtering out unregistered domains to prevent exploitation. Designed cloud and on-premises architectures for processing large Common Crawl data sets efficiently. Set up AWS services including S3, API Gateway, Lambda for cloud processing. Developed Golang caching layer using AWS Lambda Extensions to reduce redundant AWS service requests. Achieved efficient processing of 200,000 .net domains in about 2 minutes.

Junior Software Engineer at Nanoputian

Developed robust integration pipelines in JavaScript/TypeScript to synchronize data between HR, payroll, scheduling and asset management systems, using AWS-based infrastructure. Created reusable base test suites with Jest, accelerating UAT phase and improving deployment velocity by over 50%. Designed and implemented CI/CD pipelines using GitHub Actions, AWS S3, and Lambda to automate deployments. Enhanced alerting mechanisms by integrating Microsoft Teams, Outlook, and Slack with AWS infrastructure, significantly reducing incident response time. Built Grafana dashboards for monitoring Lambda metrics to improve observability and reduce downtime. Developed the NanoV3 Coding Agent within a Retrieval-Augmented Generation (RAG) framework to expedite code generation for integration modules.

Software Developer Intern at Nanoputian

Supported integration pipelines and automation workflows in JavaScript/TypeScript. Assisted in CI/CD pipeline implementations and cloud infrastructure monitoring and alerting enhancements. Contributed to development of AI-driven coding assistance tools.

Software Developer Intern at CopilotHQ

Designed and implemented a secure AWS-based data pipeline overcoming IP whitelisting restrictions, enabling Power BI to access VoIP metadata. Developed AI-powered automation PoCs utilizing Microsoft Azure Functions and OpenAI for email and document processing, improving classification accuracy. Implemented CI/CD pipelines with GitHub Actions to streamline testing and deployment.

Research Assistant at Queensland University of Technology

Investigated Linux Kernel behaviors using Strace and extended Berkeley Packet Filter (eBPF). Established an automatic methodology to detect runtime faults in microservices and evaluate consistency with 100% accuracy for three popular microservices, including REST API and databases. Conducted SQL injection attack simulations to evaluate fault detection strategies.