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About me

• Plant, Bacterial, Fungal Bioinformatics, Deep Learning,and DevOPs. I only apply to areas of interest and i write and code myself. Prior to 2022, all the code I wrote was internally hosted by the research institutions/universities.
• I have a background in bioinformatics and plant biology and extensive experience in code development, data analysis and added data science, machine and deep learning and web and application development. Following my PhD, and I developed and analyzed bioinformatics methods for comprehending the transcriptional and post-transcriptional genomics across nuclear and organelle genomes at Fondazione Edmund Mach (Italy). I analyzed and finished multiple RNA-seq and Organelle-Seq experiments for several plant species. Additionally, while working at FEM, I independently created an international partnership to find and create computational methods for a number of crop species.
• After that, I spent two years (2014–2016) as a Research Fellow (Academic Level B) at the University of Technology, Sydney, where I developed computational methods for understanding seagrasses. Following that, I spent a short time spent at University of Connecticut, USA, where i analyzed the Douglas fir genome from the genome annotation to the phylogenomics and identifying genes and evolution of importance.
• Since August 2017, I have worked as a Postdoctoral researcher at the Finnish Museum of Natural History and the University of Helsinki (Finland) conducting research on genome bioinformatics and sequencing the genomes of lower plants, including Coleochaete orbicularis, Blasia pusilla, Chaetospiridium orbicularis, Polytrichum commune, Mallomonas, and Cryptomonas species. My work has been focused on genome assembly, genome annotation, chloroplast genomics, and a variety of other topics. Additionally, I've worked for various other organisations, collaborating with Edinburgh UK, to analyse the genomics data for PAFTOL species and the chloroplast genomes of the Ambrosia clade.
• Since 2019, my research has shifted to examining the genomes of fungi Finnish Museum of Natural History and the University of Helsinki (Finland),species have been sequenced using NextSeq methods. This work is concentrated on genome assembly, annotations, markers genes, and phylogenomics of those fungi. I have assembled, annotated, and identified ITS and other phylogenomics markers, as well as performed alignments, phylogenies, and downstream analyses on the fungal genomes of over 500 different species. The bioinformatics application of high throughput sequencing and methods to comprehend the biological and functional importance of the genes, evolution, and pathways in plants have been the main areas of my research up to this point.
• From 2022-2023, i added several new skills as a carrier advancement and added machine and deep learning, added several certification on devops and added self-learnt Python,Web and Application development. I am also self-learning ArcPy to link the geospatial analysis and deep learning approaches to merge the analysis.
• From 2024 onwards, I worked at Universitat Potsdam, Germany, where I am currently based and working on the code development, submitting applications for positions and adding Java, self-learnt Julia, self-learnt GO and self-leanrt Javascript and also augmenting new approaches for machine and deep learning. I benchmarked PacBioHifi and also coded several approaches and code in Python, Ruby, Julia, GO.
• I am open to species analysis at the genome level and also to enhance the knowledge gain. I have expertise motivating individuals with various mindsets to strive toward their objectives and get the desired results. During my time conducting research, I developed the skills I would need as a future scientist, including designing biological hypotheses, analyzing deep sequencing data, and interpreting its biological significance in the context of planned experiments. I consider myself to be someone with a high level of perseverance who is driven and eager to learn everything. My core teaching objective will be to help the students learn to actively think and pursue their independent thinking.
• As I worked on these plant, bacterial and fungal species, I created new computational analyses that helped identify the genes involved in abiotic and biotic interactions as well as unique genetic pathways that could help these species' genetic breeding. In addition to developing bioinformatics to clarify functional genomics. I work from the bioinformatics to machine and deep learning. Additionally, the inclusion of the web and the application development using the python and javascript with added skills of deployment using the devops makes me a versatile and an approachable candidate. This continuous increase in my abilities and my constant efforts to put results are a proof of itself that I am a person, who is result and goal oriented.
• Must Read: Know your candidate ahead. Curriculum Vitae/Past Employers References, Scopus, ORCID, Web of Science.
• Actively submitting applications, will grab the one selected and offered first irrespective of the duration and permanent.

Areas of Interest

• All code and ideas concieved and written by me unless specified. Proficient in solving limitations. I select and drop language as per the position, if position focussed on data analysis and deep learning, i drop DevOPs and if DevOPs then i keep only mainstream programming language.
• Bioinformatics,Deep Learning including Language Models and Graphs. : Bash, Python, R, Ruby, Julia, Javascript, Awk, GO Machine/Deep Learning: PyTorch, Tensorflow, XGBoost, Scikit-learn, Keras, LightGBM, Fastai. Package Development: Python, Julia, Ruby, GO API Development: FASTAPI. Documentation: Markdown, ReadTheDocs, MkDocs, Jekyll, Github Pages, Quatro.
• DevOPs: Bash, Awk, Python, GO. Code Management: Git, GitKraken, Docker Orchestration:Terraform, Kubernetes. Visualization: Grafana. Database: SQlite3, MySQL, MongoDB. HPC: PBS and SLURM
• Web Develpoment: Rails, Python Shiny/ShinyExpress, Streamlit, Django, Julia, Flask, Javascript, Typescript
• Application Development: Electron(Javascript), PyQT(Python), Fyne(GO)
• ARC-GIS: Python, Javascript

Package/Application Development

• Python Packages | Python Community 👉 Tairaccession | Graphanalyzer | RNAprocessor | ProteinAnnotator | Ontologyanalyzer
• Streamlit Applications | Streamlit Community 👉 Metabolic-analyzer | Metabolic-json | Ontology-graphs | Pacbiohifi | Slurm generator
• Ruby gems | Ruby app | Ruby Community 👉 Devopsutils | Ruby-template | Fasta-tokenizer | Panacheextract | Protalign and proteinmultialign | Pacbiohifi-analyzer
• Electron Application 👉 TAIR genome analysis

Work Attitude/Professionalism

• Extremely collaborative and I only supports those who support me.
• Even AI prompt says ask me then i will tell, asking is the first way to initiate a open discussion/building relation.
• Highly Communicative, approachable, motivated, task and solution oriented, time responsive, and initiative taker.
• I believe decisions and communication not made in time have no and importance.
• I give importance and priority to the people I am working and communicating with.
• I believe that who is showing results is not fake whereas who is only talking with no results is fake.
• I am interested in all work and code related queries and position offers and not interested in anything else on this platform.