Our People

B.Eng., PGDM in AI, PGDM in PM

Vatsal is an AI Solution Architect at INQ Consulting. He is a seasoned AI/ML researcher, project manager, and enterprise AI solution architect with nearly eight years of experience in artificial intelligence, deep learning, and large-scale intelligent system design. His work spans end-to-end machine learning pipelines, applied research, and scalable AI architectures, with a particular focus on bridging theoretical advances in core AI with enterprise-grade implementation.

As Assistant Principal Investigator (AI/ML Research) at The AI Hub, Vatsal has led multidisciplinary teams advancing the frontiers of applied AI across the financial, healthcare, sports streaming, and enterprise technology sectors. He has directed research strategy, secured institutional funding, and overseen academic–industry collaborations focused on developing autonomous decision systems and adaptive multimodal frameworks that translate cutting-edge research into deployable solutions.

As an AI Research Associate at The AI Hub, Vatsal delivered more than fifteen research-driven AI solutions, working hands-on across the entire development cycle—from data engineering and model design to optimization, deployment, and evaluation. He collaborated with cross-functional teams to implement advanced computer vision systems, deep neural networks, and intelligent process automation frameworks, ensuring both technical excellence and real-world applicability.

His prior role at F5 Systems involved architecting production-grade predictive analytics, computer vision, and reinforcement learning systems, applying AI to solve complex business and industrial challenges.

Vatsal’s technical portfolio reflects deep expertise in core AI disciplines—including neural architecture design, optimization algorithms, generative modeling, and autonomous learning systems—and proficiency in building cloud-native, distributed AI infrastructures. His current research interests center on self-aware and self-learning neural networks, multi-device autonomous communication protocols, and hybrid reasoning architectures for intelligent autonomy.

A strong proponent of ethical and responsible AI, Vatsal continues to foster innovation at the intersection of research, engineering, and real-world deployment, contributing to the evolution of intelligent, adaptive, and scalable AI ecosystems.