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Dr. Bagchi leads Maatara at the point where scientific discipline and software engineering meet. As the author of Application of AI on Healthcare, he has already worked where artificial intelligence meets one of the world’s most regulated industries.

Over twenty-five years he has served as Senior Vice President of Research & Development, Chief Scientific Officer, and Director of Innovation and Clinical Affairs at global product companies, turning complex research into products that had to work under scrutiny. He now applies that discipline to AI-native software, so clients get systems built for scale, tested for failure, and structured so their own team can own the outcome.

His record (more than 430 peer-reviewed papers, 46 books and 20 patents) is evidence of how he makes decisions and communicates risk. At Maatara it becomes fewer surprise failures, fewer post-launch patches, and a leadership team that can defend every recommendation it makes.

Krish B shapes the technical direction of every major client engagement. With more than 20 years as an engineering leader and software architect at Dell Technologies, he has designed and scaled enterprise-grade data protection, cloud object storage and AI-native systems.

He has designed systems used in multi-million dollar product ecosystems, and has led 50+ engineer teams and delivered cloud-native transformations. He holds 30+ granted patents in data protection, storage efficiency and distributed systems.

That architecture discipline shows up in the work: clear system design, microservices, event-driven patterns and secure cloud practices that hold up under real enterprise pressure. He is fluent across the legacy and modern stack, and now in GenAI, RAG and agentic AI, which at Maatara becomes cloud and AI-native software that is fast, secure, and built to grow without becoming expensive to run.

Amit Garg is the Chief Cybersecurity Advisor at Maatara Consulting, where he helps organizations build the cyber awareness to become more diligent, nimble, and resilient in a world of threats that change every quarter. He has advised US Federal and US Defense programs, which is where he developed the habit that defines his work: security decisions have to hold up under scrutiny from people whose job is to find the gap.

His practice covers the full breadth of cyber risk and security advisory. That includes professional services in cyber strategy, cyber assessments, risk frameworks, and enterprise security program and policy development, along with benchmarking against what strong programs actually look like. He also leads third-party cyber risk and supply chain risk management, cyber risk awareness and training, data protection and privacy, and business continuity management and resiliency.

Two of those areas matter most when a client is making a consequential decision. In due diligence for mergers and acquisitions, cyber risk is often the one diligence stream that is rushed, and Amit treats it as a core finding rather than a checklist item. And in virtual CISO advisory with board reporting, he builds a reporting line that a board can actually use, so leadership sees risk in business terms and knows which decisions need their approval.

He also reviews emerging technologies before they become an unmanaged exposure, so a client can adopt AI and new platforms with the control environment already designed in. And when something does go wrong, he builds data breach and incident response capability: the playbooks, roles, and rehearsal that make the first seventy-two hours survivable.

At Maatara, that comes back to a single idea: security that a leadership team understands and can own. He leaves clients with clearer policy, trained people, tested response plans, and the confidence that the program will still hold when the threat landscape moves again.

Rudrendu Paul guides how AI is designed into client products and operations. He sits at the intersection of applied machine learning, causal inference and agentic systems, with 15+ years of turning AI research into production systems that move real business metrics.

He is an applied AI/ML leader, a published author and researcher with 50+ papers through ICML, Springer Nature, Elsevier and IEEE, and an open-source contributor to HuggingFace Transformers, scikit-learn, Ray and Google ADK. His work spans multi-agent orchestration, LLM systems, marketing measurement and product experimentation.

At Maatara he designs AI-native features, builds agentic B2A and A2A applications, and puts governance, evaluation and human approval in place, so AI systems are safe, measurable and production-ready.