Research Interest: Bioinformatics | Deep Learning | DevOps | Generative AI | Knowledge Graphs.
Highly communicative, motivated, task oriented, feature responsive, time oriented, approachable, solution seeker and initiative taker focussed professional person.
Bioinformatics | Deep Learning | DevOps | Generative AI | Graphs
Bioinformatics: genomes, transcriptomes, organelle, metagenomes and metatranscriptomes, evolutionary and phylogenome analysis.
Species: plant, bacterial and fungal.
Sequencing platform Illumina, PacBio, Oxford Nanopore.
Deep learning: PyTorch, Tensorflow, CatBoost, XGBoost, Sklearn, Keras and other machine and deep learning
DevOPs: Git,Docker,Kubernetes and Terraform for container orchestration.
Job Scheduler: Skilled in both pbs and slurm. Established computing cluster and blades.
Generative AI and Graphs.
Open to collaboration on Bioinformatics, Deep Learning, Generative AI, and DevOPs.
As of May 2024, i have dropped my family name and known as Gaurav

Gaurav,
Academic Staff Member,
Bioinformatics,
Institute for Biochemistry and Biology,
University of Potsdam,
Potsdam,Germany
https://www.uni-potsdam.de/en/ibb-bioinformatik/members/gaurav-sablok
Github:https://github.com/gauravcodepro