About me
I build the systems that turn unstructured scientific knowledge into structured, machine-readable data - at the intersection of AI, domain science, and engineering.As Director of Life Sciences and Materials Science Content Operations at ACSII reprasentating CAS (American Chemical Society), I built and lead a ~50-member cross-functional organization from scratch - recruiting, technically training, and mentoring scientists and engineers across bioinformatics, data science, curation, and materials engineering. We design GenAI-powered curation pipelines, manage HPC infrastructure for LLM inference, and drive content strategy across different scientific domains.What makes me different: I am equally fluent in the science and the engineering. I set strategy at the executive level AND deploy production LLM systems on GPU clusters. This dual fluency - rare in either world alone - lets me make strategic decisions grounded in technical reality and lead teams that bridge both cultures.My journey spans an unusual breadth:> Ph.D. in Pharmaceutical Chemistry (ICT Mumbai, Golden Jubilee Thesis Award)> Computational drug design & 6 InnoCentive challenge wins ($46K+)> Clinical genomics in Singapore's first CAP-accredited lab (A*STAR/GIS)> Genomics, microbiome & small molecule discovery (Elanco, MD Innovation Award and Global R&D award)> AI-first scientific content operations (CAS, Leadership Award 2023)Along the way, I published 31 papers across 15+ journals (1,100+ citations), built ChronQC (an open-source clinical genomics QC tool), and attended the 60th Lindau Nobel Laureate Meeting.Currently building: Content strategy for life sciences, LLM-powered bioactivity extraction, a first-of-its-kind materials informatics strategy (P-S-P-P framework), and the case that AI-first scientific curation is the future of knowledge infrastructure.GenAI for Science | Scientific Data Engineering | HPC & LLM Infrastructure | Content Strategy | Organization Building | Open Source
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