Ajit Pratap Singh

Background

About Ajit Pratap Singh

Senior Scientific Technology Specialist, with experience in leading product management, solutions architecture, and technical sales - in the life sciences, bioinformatics and agronomy domains. Strong expertise in knowledge graphs, semantic search, multi-omics data mining, ontology management and drug discovery/ repurposing. Presently serve as Technical Consultant (Professional Services: EMEA, NA) at SciBite (an Elsevier company, part of RELX group).Possess extensive experience in leading scientific POCs, semantic search / GenAI applications, FAIR data opps, enterprise digital transformation, solution scoping, real-world analytics, named entity recognition, developing life sciences workflows & integrations, working with biomedical and agronomy ontologies, DevOps & deployment (for DaaS, SaaS and KG services). Co-author (scientific papers and book chapter) on knowledge graphs and intelligent search for crop sciences. Also a COV-IRT contributor and ELIXIR-UK member. Interested in ontology-based scientific content enrichment, KG, semantic search, LLMs/ RAG and agentic AI.Highly skilled at solutions architecture, developing release plans & product roadmaps, scientific grant writing (for Pistoia alliance, Innovate UK projects), product & team leadership, pre-sales presentations, full stack application development, technical writing (papers, proposals), delivering bespoke training workshops, SciComms & public speaking.Well-versed with leading software & big data teams, genomics platform administration (for RNA-seq, metagenomics & NGS analysis pipeline development in Galaxy), user onboarding, high performance computing, scientific modeling, building interactive data visualizations & dashboards, ontology management platforms, MDM & gene discovery workflows.AWS Certified AI Practitioner, Oracle-Certified Java programmer), AWS Certified Cloud Practitioner, and awarded at Els. WSC 2024 for excellence in customer retention success.Additional experience (15+ yrs) includes myriad technologies such as docker, java, Neo4j, cypher, elasticsearch, linked property graphs, JavaScript, python3, Stardog, AWS, REST APIs, Swagger, React.js, cytoscapeJS, OpenAI, Claude, conda, Kubernetes, Helm, GRANDstack, Snowflake, Hibernate, Spring, postgreSQL, JSON-LD, SPARQL, RDF, SKOS, NextFlow, Grafana, Slurm, Ansible, D3.js, NLTK, microservices architecture, Agile methodologies, Scrum, KNIME, OpenShift, auth0, ChemAxon, statistical analysis (R), BioBERT, molecular structure analysis, relational DBs, Selenium, TDD, TravisCI, Jenkins, Jira & Django.