Abhinav Singh is a product-minded GenAI lead with nine years of experience building ML teams and deploying LLM-powered applications for retail and manufacturing customers. He has progressed from academic research in neural time-series and network community detection to leading commercial AI product development at Peak and UiPath. Known for blending rigorous statistical methods (sparse covariance, approximate Bayesian inference) with practical product delivery, he has a track record of translating complex models into measurable business impact. Past engagements include uncovering seven-figure sales gains and risk reductions through applied clustering and classification, and developing production risk reporting adopted by executive leadership. Based in Stevenage, he combines a PhD in applied nonlinear dynamics and deep quantitative roots with hands-on engineering and cross-functional leadership. An uncommon strength is his ability to scale neuroscience-grade algorithms to industrial problems, making advanced research techniques accessible to product teams.
9 years of coding experience
12 years of employment as a software developer
Indian Institute of Technology Madras
Summer school Advanced Statistics and Data Mining, Summer school Advanced Statistics and Data Mining at Univ. Politecnica de Madrid
PhD Physics- applied nonlinear dynamics, PhD Physics- applied nonlinear dynamics at Georgia Institute of Technology
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