At AvisoAI, I contribute to a multi-tenant NLP-to-SQL dashboard platform, developing backend APIs for dashboards and widgets across tenants. I added multi-select filters and config-driven tenant-specific filtering, improving dashboard configuration by 30%.
I modernized monolithic Django and Python services into distributed Flask services, containerized them with Docker, and deployed them on Kubernetes. I also helped migrate Databricks cron jobs to Prefect and developed role-aware Prompt Library APIs.
At Morgan Stanley, I designed and deployed an infrastructure orchestration platform across Linux-based datacenters, reducing manual operations by 70% and increasing task execution speed by 3×. I also developed a real-time anomaly detection system that cut MTTR by 65% through automated incident creation.
My other work at Morgan Stanley included Java and Spring Boot services for VM lifecycle automation and a Kafka-based push notification system. In personal projects, I built a news backend with LLM-based content enrichment and a Python tool that summarizes YouTube videos using transcript data and NLP.
