Bashar Jaan Khan

Work on a thesis on the topic "Semi-supervised Continual Learning methods for tabular industrial data"

Conduct tutorial sessions and prepare lecture materials for the course Statistical and Computational Data Science II at Georg-August-Universität Göttingen

Maintain local Databases by fixing duplicate entries and database backups. Develop a RAG for querying and studying clerical records from local databases. Develop a Pipeline to extract clerical entries from "Repertorium Germanicum" pdfs using few shot LLM-based parsing via chromadb. Developed pipelines for syncing data across Factrgrid, a wikidata instance for clerical details, and local databases Fix SSL and PHP code for existing websites

Develop React functional components using tailwind for websites. Build dockerized API services and worker services for projects. Create Terraform modules to deploy autoscaling services on AWS, using Fargate, ECR and RDS. Perform migrations for databases across projects. Set up and maintained CI/CD pipelines on the dev and production websites. Debug and maintain cloud infrastructure for various projects.

Analyse different cloud IDEs (eg: Eclipse Che, gitpod) for reproducible remote development. Analyse different ECS Fargate and EC2 for autoscaling containers using CloudWatch. Develop debugging script to run test suites on a container. Develop a PoC to reduce test suite running time from ~10 minutes to ~4 seconds.

Grade: 8.46/10 (German grade: 1,7)