CloudlyAI’s executive team brings together deep domain expertise across cloud, AI, networking, and healthcare to drive the company’s next chapter of growth. United by a shared vision of AI-native transformation, they lead CloudlyAI’s expansion across communications, healthcare, and industrial sectors — delivering privacy-first, open-source solutions that help enterprises unlock the full potential of their data.
Aniqa is the operational backbone of CloudlyAI, orchestrating the company’s global operations across the US, India, and Bangladesh with precision and resilience. She oversees finance, business, and end2end cross-functional coordination — ensuring CloudlyAI runs with the agility of a startup and the discipline of an enterprise. As CloudlyAI scales its AI-native solutions, Aniqa is focused on building the operational infrastructure to support rapid growth while maintaining the culture and values that define the team.
Shah brings a rare blend of deep technical vision and industry connectivity to CloudlyAI. With expertise spanning cloud infrastructure, telecom, and AI — and strong ties to organizations like Meta, Ericsson, Cisco and the Linux Foundation — he serves as a strategic bridge between CloudlyAI’s innovation roadmap and the broader technology ecosystem. Shah advises on technology innovation, open-source strategy, and helps Aniqa ensure that CloudlyAI’s solutions remain at the cutting edge of AI-native architecture.
Mansoor leads CloudlyAI’s global strategy and business expansion with a track record of driving 10X growth and managing $100M+ P&L responsibilities across technology companies. His expertise in chip-to-cloud solutions and go-to-market strategy is instrumental in scaling CloudlyAI’s presence across communications, healthcare, and industrial verticals. He spearheads business development, sales and marketing functions to drive CloudlyAI’s core growth engine — ensuring CloudlyAI captures the massive opportunity in enterprise AI transformation.
Debi is the force behind CloudlyAI’s delivery excellence, leading cross-functional teams to execute complex AI and cloud engagements with consistency and quality. His focus on operational agility, process optimization, and customer success ensures that every project delivers measurable impact. As CloudlyAI takes on larger enterprise engagements, Debi is building scalable delivery frameworks that maintain the boutique-level attention clients value while supporting the company’s growth trajectory.
CloudlyAI’s operational leaders are the engine behind our execution — building world-class engineering, cultivating exceptional talent, and amplifying our market presence. Together, they ensure that every solution we deliver meets the highest standards of technical excellence and client impact.
Pangkaj is CloudlyAI’s technical anchor — a deeply respected engineering leader who brings unmatched cloud expertise and a Ph.D.-level rigor to every solution the team delivers. Based in Dublin, he leads CloudlyAI’s engineering organization across cloud infrastructure, DevOps, and AI platform development. His ability to translate complex technical challenges into reliable, scalable solutions has earned him exceptional trust from clients and teammates alike, making him central to CloudlyAI’s superb technical excellence and customer reputation.
Ishmam leads CloudlyAI’s people strategy with a focus on building a high-performance, globally distributed workforce. With deep expertise in HR management, employee relations, and operational optimization, he is designing the talent systems and culture frameworks that will power CloudlyAI’s next phase of growth. From recruiting top AI and cloud talent to fostering engagement across multiple countries, Ishmam ensures that CloudlyAI’s greatest asset — its people — are set up to thrive.
Eshaque drives CloudlyAI’s market visibility and demand generation, combining 17+ years of B2B growth marketing expertise with a deep understanding of cloud and AI ecosystems. He leads CloudlyAI’s digital strategy, content marketing, and go-to-market execution — leveraging AI-powered automation to build scalable revenue pipelines. His focus on measurable ROI and enterprise brand positioning is accelerating CloudlyAI’s recognition as a leader in AI-native transformation.
CloudlyAI’s advisory board brings unparalleled depth across the industries and technologies we serve. These leaders lend their networks, expertise, and strategic guidance to help CloudlyAI navigate complex markets and accelerate innovation at the intersection of AI, networking, and enterprise transformation.
Arpit is a globally recognized leader in open-source networking and AI, overseeing major Linux Foundation projects across networking, edge, and IoT. With 35+ years spanning carriers, cloud, and enterprise IT, he advises CloudlyAI on open-source strategy, AI-native network architecture, and ecosystem partnerships. His vision for AI-driven network automation and his deep industry relationships are invaluable as CloudlyAI expands its CloudlyNet platform and Linux Foundation collaborations.
Lorcan brings 30+ years of global telecom and healthcare technology expertise to CloudlyAI, with leadership roles spanning Cisco, Ericsson, VMware, and advisory work with Amazon and Vodafone. He advises CloudlyAI on healthcare digitization, communications infrastructure, and service provider transformation. His unique ability to bridge healthcare and telecom — two of CloudlyAI’s core verticals — makes him an essential strategic voice as the company scales CloudlyCare and CloudlyNet.
Boris is a serial entrepreneur who has built and scaled companies at the forefront of open-source infrastructure, including Mirantis and FreedomFi. His deep expertise in private 5G, open networking, and industrial connectivity directly aligns with CloudlyAI’s CloudlyNet and industrial AI ambitions. He advises on go-to-market strategy for open-source products, partnership development, and scaling infrastructure platforms — helping CloudlyAI accelerate its presence in the private 5G and industrial markets.
We’ve over 100 engineers around the globe who successfully transformed themselves into AI-native engineers. They’re well prepared to help your transform your team and company.