Jan 2024 – Present · 2 yrs 2 mos

• 1. Built an LLM-powered utility tool with Python FastAPI, PostgreSQL, and Milvus DB to enable multimodal (text + image) generation, achieving a 40% reduction in response latency through semantic caching.
• 2. Developed an event-driven backend for a generative AI marketing platform with Azure Event Grid’s
• publisher-subscriber model to asynchronously handle file and chat processing, doubling system throughput and improving concurrency management.
• 3. Enhanced AWS Glue jobs in a data-driven web platform, increasing product recommendation accuracy by 20% through dynamic SQL logic.
• 4. Enhanced SharePoint to Azure Blob file movement and optimized event-based pipeline triggering, resulting in a 50% reduction in manual processing time.

Sep 2021 – Dec 2023 · 2 yrs 3 mos

• 1. Migrated and automated legacy SQL workloads to PySpark on Databricks, leveraging parallel and in-memory computation to achieve a 1.5× efficiency improvement.
• 2. Orchestrated ETL parsing of JSON and XML datasets ranging from MBs to GBs, integrating AWS Lambda and Step Functions to automate workflows and boost processing efficiency.
• 3. Led backend migration of APIs from cloud to on-premise, achieving 95% endpoint validation success, and added JWT-based authentication for enhanced security.
• 4. Developed and implemented data processing pipelines, including Kafka code integration in Kubernetes pods, Docker image deployment, and data ingestion into HDFS(Hadoop Distributed File System) and Percona DB.