• Optimised NodeJS backed with server side caching using Redis• Implemented a multi agent group chat using ChatGPT OpenAPIs, AutoGen with real time chat using FastAPI with websockets for relevant information retrieval and collective contribution• Built an e2e web scrapping/serving backend service using Django to serve search via PostgreSQL• Worked on building AWS cloud metrics dashboards with athena for dumping logs, audited AWS cloud billing to reduce billing for consecutive months• Fixed crucial queries and bugs for Redshift views to scale and correct ETL flows for AWS Glue

• Built an end to end MLOps pipeline with Google Vertex AI to process product images, generate embeddings and real time serving with Elastic Search.• Moved out a third part recommendation service with in-house recommendation serving• Successfully implemented a notification service to enable real time product status information, resulting in improved supply chain operations with Firebase Cloud messaging• Worked on a tagging system that improved product performance and visibility across 1000+ vendors, and aided in classification for further search optimisation with Elastic Search • Worked on core SQL queries to relay essential metrics with real time flow and Big Query with Google dataflow for data-driven decision making• Developed a framework to secure services from external unauthenticated calls with Google's native service to service authentication saving up on cloud resources• Contributed to team efficiency through optimization of product shipment process, resulting in improved performance

Writing about Machine Learning applications and its use of data for analysis

- Designed a dashboard accessible to the users - Website was made with responsive design- Used front end technologies Redux sagas - Used website hosting platform Netlify - integrated code with legacy code base