π I'm based in Germany as Academic Staff Member at Bioinformatics, Institute for Biochemistry and Biology at Universtat Potsdam(UP) and Group π©πͺ
π You can contact me at [email protected] and [email protected]
π Highly communicative, motivated, task oriented, feature responsive, time oriented, approachable, solution seeker and initiative taker focussed professional person.
π Bioinformatics | Β Deep Learning | DevOps | Generative AI | Graphs
π Bioinformatics: genomes, transcriptomes, organelle, metagenomes and metatranscriptomes, evolutionary and phylogenome analysis.
π Species: plant, bacterial and fungal.
π Sequencing platform Illumina, PacBio, Oxford Nanopore.
π Deep learning: PyTorch, Tensorflow, CatBoost, XGBoost, Sklearn, Keras and other machine and deep learning
π DevOPs: Git,Docker,Kubernetes and Terraform for container orchestration.
π Job Scheduler: Skilled in both pbs and slurm. Established computing cluster and blades.
π Git management: Github commandline and GitKraken inlcuding stagging, rebasing, stashing, commiting
π Generative AI and Graphs.
π You can read the curriculum vitae here: curriculum vitae and citations and web of science
π You can read the employers references and what they say about me employers.
π Open to collaboration on Bioinformatics, Deep Learning, Generative AI, and DevOPs.
π I am very pro-active in making communication and upskilling on emerging trends.
π Proficient in developing new approaches for better integration and minimal interactions, ease of access approaches.
π Profile development by reading about the latest trends in code, personal and professional development.
π Prefer office space work but also open to remote work 1-2 days.
π Efficient in time and project requirements, approaches and solving limitations.
π Currently program:
π βProgress thrives on the exchange of knowledge.β (Albert Einstein)
π Bioinformatics: Python, R, Ruby, Awk, Shell, Nushell, Scala.
π Deep Learning: Python, R, Scala., learning Julia, graphsAPI.
π DevOPs: Shell, NuShell, Awk, Ruby, HashiCorp, Python
π Web Application: Streamlit, Django, Scala, HTML and Tailwind CSS
π Static documentation: Markdown, ReadTheDocs, MKdocs, Jekyll and Ruby
π Templating engine: jinja and jinja2, jq and yq
π Bioinformatics templating: Nextflow, Snakemake
π Previously program: C++
π Currently using Linux Linux and plasmakde
π Previously using MacBook.
π Discord sablokgaurav
π Docker applications
π journal of open software
Python Packages: development and release version
π tairaccession: python package for interacting with tair: tairaccession
π graphanalyzer: python package for analyzing the alignments from the graph alignment tools: graphanalyzer
π rnaprocessor: python package for analyzing the sequence for tag based machine learning: rnaprocessor
π protein-annotator: python package for analyzing the genome-protein alignments protein-annotator
π ontologyanalyzer: python for analyzing the ontologies using the semantic web ontologyanalyzer
Ruby gems: released and development version
π devops_system_profiler: a devops system configuration gem: devops_system_profiler
π ruby_template_creator: a ruby templating gem creator: ruby template creator
π fasta_tokenizer: a fasta tokenizer generator and motif indexer: fasta_tokenizer
π panacheextract: a ruby gem for dealing with snps specific information for panache panacheextract
π fluxmodels: implementation of all flux models in ruby fluxmodels
π protalign: a pre-release protein alignment gem for the genome annotation protein-alignment-gem and proteinmultialign
π pacbiohifi-analyzer: analyzing pacbio hifi data from reads to graphs pacbiohifi-analyzer
Julia Packages: building release version
π panachegraph genome graph and nearest neighbour approach in julia-lang to the pangenome graphs. panachegraph
R package and Bioconductor: building release version
π evoseq genome annotation visualization, phylogeny and blocks estimation from protein to genome alignments evoseq, subfunction genomevisual