Gaurav gauravcodepro

I'm based in Germany as Academic Staff Member at Bioinformatics, Institute for Biochemistry and Biology at Universtat Potsdam(UP) and Group 🇩🇪
You can contact me at gaurav.sablok@uni-potsdam.de
If you want to contact me on Gmail, you can use gauravcodepro@gmail.com
Communicative, approachable, motivated, task and solution oriented, time responsive, and initiative taker.
Bioinformatics: genomes, transcriptomes, organelle, metagenomes and metatranscriptomes, phylogenome analysis.
Species: plant, bacterial and fungal.
Sequencing platform Illumina, PacBio, Oxford Nanopore, PacBioHifi, HiC
Deep learning: PyTorch, Tensorflow, CatBoost, XGBoost, Sklearn, Keras and other deep learning.
DevOPs: Git,Docker,Kubernetes and Terraform for container orchestration.
Generative AI and Graphs.
You can read the curriculum vitae here: Curriculum Vitae, Scopus, ORCID, and Web of Science
You can read the previous employers references and what they say about me Previous Employers.
Open to collaboration on Bioinformatics, Deep Learning, Generative AI, and DevOPs.

I am very pro-active in making communication and upskilling on emerging trends.
Proficient in developing new approaches for better integration and minimal interactions, ease of access approaches.
Profile development by reading about the latest trends in code, personal and professional development.
Prefer office space work but also open to remote work 1-2 days.
Efficient in time and project requirements, approaches and solving limitations.
Voracious reader of language model implementations language-models

Bioinformatics: Python, R, Ruby, Awk, Shell, Scala, Nushell
Deep Learning: Python, R, Scala, learning Julia, learning graphsAPI.
DevOPs: Shell, NuShell, Awk, Ruby, HashiCorp, Python
Web Application: Streamlit, Shiny, Django, BootStrap, Julia, HTML, Javascript
Static documentation: Markdown, ReadTheDocs, Jekyll and Ruby
Templating engine: jinja and jinja2, jq, yq
Bioinformatics templating: Nextflow, Snakemake.
Mathematical Modelling: MATLAB.

Git management: Proficient in Github, Githubcli, Gitlab, GitKraken and Tower for all continous development.
Job Scheduler: Skilled in both pbs and slurm. Established computing cluster and blades.
Heroku Development: Application deployment using Heroku
Docker: Docker applications

streamlit-pacbiohifi: web application for pacbiohifi sequencing length streamlit-pacbiohifi
streamlit-Univeristat-Potsdam: web application for Universitat Potsdam, slurm-applicator

devopsutils: a devops system configuration gem: devops_system_profiler
ruby_template_creator: a ruby templating gem creator: ruby template creator
fasta_tokenizer: a fasta tokenizer generator and motif indexer: fasta_tokenizer
panacheextract: a ruby gem for dealing with snps specific information for panache panacheextract
fluxmodels: implementation of all flux models in ruby fluxmodels
protalign: a pre-release protein alignment gem for the genome annotation protein-alignment-gem and proteinmultialign
pacbiohifi-analyzer: analyzing pacbio hifi data from reads to graphs pacbiohifi-analyzer

tairaccession: python package for interacting with tair: tairaccession
graphanalyzer: python package for analyzing the alignments from the graph alignment tools: graphanalyzer
rnaprocessor: python package for analyzing the sequence for tag based machine learning: rnaprocessor
protein-annotator: python package for analyzing the genome-protein alignments protein-annotator
ontologyanalyzer: python for analyzing the ontologies using the semantic web ontologyanalyzer

panachegraph genome graph and nearest neighbour approach in julia-lang to the pangenome graphs. panachegraph

evoseq genome annotation visualization, phylogeny and blocks estimation from protein to genome alignments evoseq, subfunction genomevisual

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