- Open to collaboration and positons on Bioinformatics, Deep Learning, Language Deep models,and DevOPs.
- Read this: Immediate joining and relocation for the selection position
- Read this: Past collaborator and employers, please dont write/approach me.
- Covering Letter, Curriculum Vitae, Scopus, ORCID, Web of Science. Employers references.
- Approachable at [email protected]
- All code and ideas concieved and written by me unless specified.
- Voracious reader of language model implementations language-models
- Time based programming to increase my speed and efficiency.
- I dont work with the past and this keeps me result oriented and give importance to the people i am working with.
- I pick the programming langauge to get the work done and can drop anytime and pick another.
Working Attitude
- Decisions and approaches/attempts not made in time have no value and importance.
- 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.
- I give importance to those who are clear, approachable, can talk and not assumptive and judgemental as i cant work on assumptions. I have the ability to work on real not to evaluate or take part in someone assumptions.
Bioinformatics,Deep Learning,RAG,Language Models and Graphs.
- Priority Language: Python, R, Ruby, Julia, Javascript
- Machine/Deep Learning:PyTorch, Tensorflow, CatBoost, XGBoost, Sklearn, Keras, LightGBM, Fastai.
- 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, Quatro
- Package Development: Python, Julia, Javascript, Ruby.
- API Development using FASTAPI/Javascript
DevOPs
- Priority Language: Shell, NuShell, Awk, Python
- Code Management: Git, GitKraken,Docker.
- Orchestration:Terraform, Kubernetes.
- Database: SQlite3, MySQL, MongoDB.
- Documentation: Markdown, ReadTheDocs, MkDocs, Jekyll, Github Pages, Quatro
- PBS and SLURM as job scheduler
- Docker for application deployment
Web Develpoment
- Priority 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
- Metabolic-analyzer:API to BIGG database models
- Metabolic-json: analyzing BIGG metabolic models
- Ontology-graphs: analyzing arabidopsis ontologies and plant obo
- Pacbiohifi: pacbiohifi sequencing information
- DevOPS Application Slurm Generator
Ruby Gems: Ruby gems, Ruby app and Ruby Community: released and development version
- Devopsutils: devops system configuration
- Ruby-template: ruby templating
- Fasta-tokenizer: fasta tokenizer and motif indexer
- Panacheextract: snp extractor
- Protalign: protein alignment analyzer and proteinmultialign
- Pacbiohifi-analyzer: pacbio hifi data from reads to graphs
Python Package: Python Packages and Python Community: building development release version
- Tairaccession: python package for interacting with tair
- Graphanalyzer: python package for graph alignment tools
- RNAprocessor: python package for sequence based machine learning
- ProteinAnnotator: python package for genome-protein alignments
- Ontologyanalyzer: python package ontologies using the semantic web