• Contributing towards Evertz.io, a Multi-Tenant, Multi-Region Cloud-based Software as a Service (SaaS) offering.• Currently working in the R&D Department as a part of a file-based development team, gaining valuable experience and mentorship from an SDE-IV and Senior Software Development Manager. Continuously building technical and professional skills in software development.• I have worked on various microservices owned by the team, playing a key role in their development• Designed a process for uploading recorded MXF files to the customer’s S3 bucket after live stream recordings and registering them as assets. The registration emits events in AWS EventBridge, which are consumed by the Stream Record Service to update job status in the database, reducing job status update time by 35% and improving system throughput by 20%.• Implemented chunked recording for live streams, where each chunk was uploaded to an S3 bucket based on duration. After completion, chunks were stitched together and registered as an MXF file using ORT’s(OvertureRealTime) Site APIs, controlled by the PEX application via JSON RPC client calls, improving stream processing efficiency by 35% and reducing upload time by 20%.• Mentored interns, guiding them through learning roadmaps, organizing KT sessions, assigning tasks, conducting monthly 1:1 feedback sessions, and supporting their growth throughout their internship

• Following the re-architecture of the file-store-manager service, developed CRUD APIs in the playlist-management service for storing playlist-import configurations. These APIs were designed to be backwards compatible, retrieving configurations from both S3 bucket tags and the new DB storage. Created a migration script that successfully moved all configuration data from S3 bucket tags to the DB for each tenant, reducing retrieval time by 30% and ensuring smooth data transition for over 100+ tenants.• Conducted a proof of concept (POC) to upload MXF files from ORTMC (OvertureRealTime-MediaConnect) to S3 and register them with the Content Service. This led to the creation of the stream-record-job-runner PEX application, which enabled the Stream Record Service to control EC2 instances, schedule recording events, and invoke ORT’s (OvertureRealTime) Site API commands via JSON RPC, streamlining the entire process by 35%.• Enhanced observability by integrating OpenTelemetry semantic conventions across multiple services owned by the team, improving monitoring consistency by 35% and reducing debugging time by 20%.• Improved the data-translation service by designing and implementing an AWS SNS filter policy to optimize Lambda invocations, ensuring translation Lambdas are triggered only for files matching specific extensions uploaded to an S3 bucket, reducing unnecessary invocations by 50% and improving processing efficiency by 30%.• Contributed to multiple microservices by creating unit tests, debugging and resolving 30+ bugs, improving code quality by 20%, and documenting processes through Confluence pages, enhancing team collaboration and reducing onboarding time by 15%.• Created a Copybara setup for API specs and autogenerated clients, managing them in a monorepo for the respective microservices owned by the team, streamlining version control processes and improving code consistency across services by 30%.

• Gained hands-on experience by developing and managing AWS Lambda functions, designing CloudWatch log configurations, and integrating DynamoDB with API Gateway. Created and maintained YAML configurations, Swagger and OpenAPI specifications. Utilized boto3 for seamless AWS service interactions and developed AWS CloudFormation templates, ensuring adherence to high coding standards.• Implemented observability across multiple services and integrated Honeycomb for monitoring, improving issue detection by 40% and reducing mean time to resolution (MTTR) by 25%.• Developed a delete API for the data-translation service, which removes the translation pipeline from the database and checks for and deletes any related XSLT translator files from S3, reducing storage costs by 30% and improving database cleanup efficiency by 20%.• Implemented folder-prefix support for S3 buckets in the file-store-manager service, reducing the need for multiple dedicated buckets by 40% and improving data organization efficiency within a single bucket by 25%.• Received 1:1 mentorship from an SDE-IV.