Ajit Singh is a Technical Consultant and Senior Scientific Technology Specialist with 11+ years delivering semantic, knowledge-graph and multi-omics solutions across life sciences, bioinformatics and agronomy. He combines solutions architecture, product management and pre/post-sales technical leadership to scope and deploy enterprise-scale semantic search, GenAI/RAG and FAIR data programs for Elsevier/SciBite customers. His hands-on background spans full-stack development, DevOps and genomics platform administration (Galaxy, NGS/RNA-seq pipelines), plus production KG stacks (Neo4j, Stardog, RDF/SPARQL) and interactive visualisations. He has led scientific POCs and multi-year engagements, authored papers and book chapters on KGs for crop science, and co-developed KnetMiner/KnetMaps for accelerated gene discovery. Beyond customer-facing work, he writes grant proposals, runs bespoke training workshops and bridges ontology engineering with pragmatic AI deployments. Based in Cambridge, he pairs domain fluency in biomedical and agronomy ontologies with practical cloud and DevOps certifications to turn complex research questions into reproducible, production-ready solutions.
11 years of coding experience
10 years of employment as a software developer
MSc, IT - Internet & Distributed Systems (IDS) Technologies, MSc, IT - Internet & Distributed Systems (IDS) Technologies at Durham University
School / 12th, School / 12th at St. Fidelis
Bachelor's, Computer Science, Bachelor's, Computer Science at Maharashtra Institute of Technology
KnetMaps: a BioJS component to visualize biological knowledge networks
Contributions:9 releases, 223 commits, 2 PRs in 5 years 2 months
knowledgevisualizebiojsbiologicalvisualization
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Ajit Singh - Technical Consultant, Advanced Data Solutions