- I work as Academic Staff Member at Institute for Biochemistry and Biology at Universtat Potsdam(UP) 🇩🇪
- Open to collaboration on Bioinformatics, Deep Learning, Language Deep models, and DevOPs. Covering Letter
- Curriculum Vitae, Scopus, ORCID, and Web of Science. Employers references.
- Contact me at [email protected] / [email protected]
- All code and ideas concieved by me unless specified.
- Voracious reader of language model implementations language-models
- Believe in not wasting time at any aspect Please read this to save your time
- I dont code C and C anymore and follow time based programming to increase my speed and efficiency.
Professional Aptitude
- I read scientific aptitude to increase my work potential for continous development.
- Communicative, approachable, motivated, task and solution oriented, time responsive, and initiative taker.
- Pro-active in making effective communication as communication leads to result oriented approaches.
- Active in solving limitations and applicative person, proficient in developing new approaches for code development.
- Plan and code well ahead as to have a planned approach of problem solving.
- I think very precisely before speaking as what has spoken cant be fetched back.
- I raise my value and respect those who respect my skills and value.
- I belive in effectively working with those, who talk to me and not other way around.
- I belive in not taking and appreciating indirect approaches as it never generate results.
- Extremely collaborative and open to supporting those who support me.
Bioinformatics,Deep Learning,RAG,Language Models and Graphs.
- Language: Python, R, Ruby, MATLAB, Julia
- Machine/Deep Learning:PyTorch, Tensorflow, CatBoost, XGBoost, Sklearn, Keras, LightGBM, fastai and others.
- Web Development: Python, Javascript, Julia, Ruby on Rails, Django, HTML and CSS.
- Server and Data Management: Awk, Shell, Nextflow
- Database Management: SQlite3, MySQL, MongoDB.
- Documentation: Markdown, ReadTheDocs, MkDocs, Jekyll, Github Pages
- Package Development: Python, Julia, Javascript, Ruby.
DevOPs
- Code Management: Git,GitKraken,Docker,Kubernetes,Terraform.
- Language: Shell, NuShell, Awk, Python
- Database: SQlite3, MySQL, MongoDB.
- Documentation: Markdown, ReadTheDocs, MkDocs, Jekyll, Github Pages
- PBS and SLURM as job scheduler
- Heroku and Docker for application deployment
Web Develpoment
- Language: Ruby on Rails, Streamlit, Python Shiny/ShinyExpress, Django, BootStrap, Julia, HTML, Javascript
- JSON Format: jinja and jinja2, jq, yq
Streamlit: Streamlit Applications and Streamlit Community
Name | Application |
---|---|
Pacbiohifi: pacbiohifi sequencing information | Pacbiohifi |
Univeristat-Potsdam: web application for Universitat Potsdam | slurm-applicator |
Ontology-graphs: analyzing arabidopsis ontologies and plant obo | ontology-graphs |
Metabolic-json: analyzing BIGG metabolic models | metabolic-app |
Metabolic-analyzer:API to BIGG database models | metabolic-analyzer |
Ruby Gems: Ruby gems, Ruby app and Ruby Community: released and development version
Name | Gem Release |
---|---|
Devopsutils: devops system configuration | devops_system_profiler |
Ruby-template: ruby templating | ruby template creator |
Fasta-tokenizer: fasta tokenizer and motif indexer | fasta_tokenizer |
Panacheextract: snp extractor | panacheextract |
Fluxmodels: flux models | fluxmodels |
Protalign: protein alignment analyzer | protein-alignment-gem and proteinmultialign |
Pacbiohifi-analyzer: pacbio hifi data from reads to graphs | pacbiohifi-analyzer |
Python Package: Python Packages and Python Community: building development release version
Name | Python Package Repo |
---|---|
Tairaccession: python package for interacting with tair | tairaccession |
Graphanalyzer: python package for graph alignment tools | graphanalyzer |
RNAprocessor: python package for sequence based machine learning | rnaprocessor |
ProteinAnnotator: python package for genome-protein alignments | protein-annotator |
Ontologyanalyzer: python package ontologies using the semantic web | ontologyanalyzer |