Responsibilities include:
- Developed a Python FastAPI backend, handling 100+ concurrent requests per second per client, leveraging asynchronous capabilities and an optimized RESTful API design to ensure efficient and scalable service delivery.
- Developed a chatbot to assist students and staff with inquiries on graduation status and grades, increasing response efficiency by 80%.
- Implemented machine learning research projects using Python libraries (Pandas, Numpy, Matplotlib, Tensorflow, Pytorch) to streamline academic research processes.
- Configured Docker containers for engineers, enabling efficient use of system resources including GPUs for model training to reduce runtime errors cause by the environment by 40% and operational cost by over 50%.