Rajat Pandit AI Leader - Keynote Speaker - Technology Advisor

AstroWind Hero Image
Philosophy: Clarity. Conviction. Collaboration.

APPROACH

Leadership Backed by Execution

A proven framework for translating deep technical expertise into measurable business impact. Combining over 20 years of hands-on experience with the executive acumen needed to drive sustainable growth.

Strategic AI Roadmaps

Developing clear, actionable strategies that align technology initiatives with core business objectives. Every investment is architected to drive long-term value and secure a durable competitive advantage for the enterprise.

From Pilot to Production

Expertise in moving organizations beyond the proof-of-concept stage by operationalizing AI/ML solutions at enterprise scale. The focus is on building robust, reliable, and impactful systems ready for real-world deployment.

Focus on Business Outcomes

Moving beyond technical metrics to concentrate on what matters most: delivering measurable business impact. This includes revenue growth, operational efficiency, and an enhanced market position.

High-Performing Teams

A proven ability to build and mentor world-class engineering teams. Fostering a culture of innovation, accountability, and excellence is key to attracting and retaining top-tier talent.

Bridging Tech & Business

Translating complex technical concepts into clear business language. This enables executive teams and boards to make informed, confident decisions in a rapidly evolving technology landscape.

Future-Focused Insights

Providing forward-looking analysis on emerging trends in AI and cloud infrastructure. This helps organizations anticipate market shifts, mitigate risks, and seize future opportunities with confidence.

Testimonials From Other industry Leaders

" Focussed, Technologist, Go-Getter, Team player is how I would describe Rajat. He is a thought leader who is ready to take tasks to completion with a smile. True asset to any team he joins. "


Vidya Laxman

Vidya Laxman

Technology Director at Tesco

" Rajat has done excellent work for Tesco over the last year. He has been great to work with and is highly skilled. I wouldnt hesitate to recommend him to anyone.. "


Jon Higgins

Jon Higgins

CTO & CPO at Wehkamp Retail Group

" Rajat is highly motivated, very strong technically and a well regarded member of our department. He has a strong vision for how our department should operate technically and has helped to guide us towards that vision over the past year or so. Safe to say he's also a great guy! "


Tara Hamilton-Whitake

Tara Hamilton-Whitake

CEO | Founder - Inquisitive

Get Lastest Published Insights

View all posts »
Switching Technologies in AI Accelerators

Switching Technologies in AI Accelerators

This post contrasts the switching technologies of NVIDIA and Google's TPUs. Understanding their different approaches is key to matching modern AI workloads, which demand heavy data movement, to the optimal hardware.

The Case for SparseCore

The Case for SparseCore

Large-scale recommendation models involve a two-part process. First, a "sparse lookup" phase retrieves data from memory, a task that is challenging for standard GPUs. Second, a "dense computation" phase handles intense calculations, where GPUs perform well. This disparity creates a performance bottleneck. Google's TPUs address this with a specialized SparseCore processor, specifically designed for the lookup phase. By optimizing for both memory-intensive lookups and heavy computations, this integrated architecture provides superior performance for large-scale models.