• Contributed to the backend of a volunteer driven community help platform enabling users to raise requests and volunteers

to coordinate assistance.

• Designed and implemented backend workflows for request creation, status tracking, and volunteer assignment using

cloud-based services.

• Built asynchronous processing flows using AWS Lambda and message queues to handle spikes in request volume without

impacting user experience.

• Integrated AWS S3 for secure storage of request related artifacts and audit data.

• Used AWS CloudWatch logs and metrics to monitor system health, investigate errors, and troubleshoot production issues.

• Assisted in deploying and maintaining services using infrastructure as code and CI pipelines to ensure reliable updates.

• Designed and debugged C++ services for high-volume financial message processing with strict latency and reliability constraints.

• Implemented thread-safe pipelines for parallel message validation, transformation, and persistence.

• Solved data corruption and consistency issues by adding integrity checks and recovery logic.

• Performed root cause analysis for production incidents by inspecting stack traces, memory usage, and process behavior.

• Partnered with system test teams to reproduce customer deployment scenarios and validate fixes at scale.

• Ensured production stability by participating in on-call rotations and resolving escalations within SLA.

• Built C++ utilities and backend modules for file processing, data ingestion, and system integration tasks.

• Implemented POSIX-based file handling and directory traversal to process large datasets efficiently.

• Debugged memory leaks, invalid accesses, and crashes using GDB and Valgrind.

• Improved reliability by adding structured logging, boundary checks, and defensive error handling.

• Gained hands-on exposure to Linux system behavior, process scheduling, and resource limits.