Vishesh brings a foundation in computational neuroscience and advanced analytics to help our investment-banking clients translate artificial intelligence into measurable value. Trained at USC and Georgia Tech, he pairs quantitative rigor with the ability to communicate complex ideas to boards, deal teams, and operating executives.

Over the past several years, he has designed and implemented cloud-native data architectures—integrating multi-source healthcare, financial-markets, and operations data into scalable AWS and Azure environments, automating quality controls, and building feature stores that power predictive models and real-time dashboards. His work has supported technology diligence for life-science and digital-health transactions, optimized incentive-compensation programs, and uncovered latent trends that inform capital-allocation decisions. Vishesh’s blend of hands-on data engineering, machine-learning expertise, and transaction-side insight enables our team to assess, structure, and execute AI-driven strategies with confidence.