Hassaan Dar

Built autonomous agents for hotel booking solution using langchain and langraph Fine tuned open source models on tool calling speed optimization for LLMs Deployed models on Cloud architecture with GCP Built backend architecture using flask and fastapi for the agents

Build robust features in the Ultralytics Hub application to train the available data sets with no code for the user using Flask. Setup the Kubernetes architecture to automate the deployment process resulting in a reduction in deployment time by 40%. Implemented new cloud and firebase functions and improved the existing function functionality as well Improved the overall application performance that helped increase and retain the user base by 24%. Designed and developed the Cloud billing feature that helped the customer to sign up on GCP in runtime and use the Ultralytics model immediately. Developed the front-end using Vue and reduced code redundancy to improve the overall performance.

Improved system performance by 38% in 6 months, reducing customer wait times by an average of 5 minutes. Developed client facing platform increasing revenue by 25%. Reduced page load time for the web application from 21s to 3s. Architected high-performance APIs with Python's Flask framework. Implemented Third party integrations like, WeChat, Tadpon, ADAS, etc. Led a cross-functional team in integrating third-party services, enhancing the application's functionality and broadening the service offering to clients. Improved the overall performance of application by database optimization, Test coverage, Latency.