Know Your CTO · Nagarro Internal
Global Chief Technology Officer, Nagarro
AI & agentic engineering · 15+ granted patents · Enterprise transformation
Snapshot
Numbers that frame the scope of Nagarro — and the leadership tenure behind them.
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Nagarro colleagues
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Years as Global CTO
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Granted patents worldwide
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Listed skills
Profile
Rahul Mahajan is Global CTO at Nagarro, where he leads the firm’s AI and agentic engineering agenda and advises Fortune 100 executives on building intelligent, autonomous, future-ready organisations. He works at the junction of applied research and large-scale delivery — inventing IP, then proving it in production with tier-one clients.
His path runs from hands-on product engineering through Accenture Digital, entrepreneurship at DGPULSE, and leadership at Pitney Bowes, into a global CTO mandate at Nagarro since January 2019. Along the way he has built engineering organisations across hubs, earned consecutive Accenture Inventor Awards, and assembled a patent portfolio spanning machine learning, marketing-mix analytics and data platforms.
Today he is a visible public voice for Nagarro — keynoting Gartner and Reuters Events, joining BRICS Dialogues and partner forums with OpenAI, L’Oréal and others. Recurring themes in his work: agentic AI beyond copilots, context engineering, governance and responsible AI, quantum computing, and taking enterprise AI from pilots to autonomous production systems.
Mandate
Nagarro
Jan 2019 – Present · Gurugram, India
Journey
Newest first — from global CTO scope back through senior engineering and technology leadership.
Nagarro
Gurugram, India
Pitney Bowes
Noida, India
Nagarro
Gurugram, India
DGPULSE Technologies
Delhi, India
Accenture Digital
Gurgaon / New York
IBM
Gurugram, India
Agenda
From multi-agent systems to engineering culture — the themes shaping the technology agenda.
An enterprise agentic operating system layered over tier-one AI hyperscalers — deep enterprise context graphs, shared context across agents, and zero vendor lock-in.
Non-linear reasoning for multi-agent enterprise workflows, plus a patent-pending Agentic Decision Compiler for workflow transformation.
Phase-wise, KPI-driven agentic adoption so organisations adapt continuously rather than in annual transformation cycles.
Research plus solution architecture and agentic literacy — pairing frontier models with enterprise-grade delivery.
Live spaces for clients and partners to co-create; next up Agentic Labs 2.0, multimodality studios and responsible-AI playbooks.
Quantum computing research and certification pod, plus work toward sovereign AI infrastructure for regulated enterprises.
Public voice
Keynotes, panels and partner moments — tap any photo to open the gallery.
Videos autoplay with sound when in view. Pick another talk from the playlist to switch.
Deep dive into transformer models, attention and context in language models — how modern LLMs actually work under the hood.
Featured story
An employee/attendee write-up of Rahul’s Enterprise Agentic Harness session at FLO 2026 — one of the clearest public explanations of how Nagarro engineers production-grade agentic systems.
FLO 2026 attendee recap · Nagarro Gurugram · Oct 2026 · 6 min read
Stories
Read posts here like Medium — open any card for the full piece.
An employee/attendee write-up of Rahul’s Enterprise Agentic Harness session at FLO 2026 — one of the clearest public explanations of how Nagarro engineers production-grade agentic systems.
Argues competitive advantage comes from orchestrating interoperable AI agents — context-aware, collaborative across functions, learning from outcomes — with Mosaic OS as the platform for modular, domain-grounded autonomy.
How agentic and multimodal systems see, decide and act — federated context engineering, coordinated agent execution, and governed execution by design via Mosaic OS.
Enterprise intelligence layer connecting agents, models, data and systems through shared context. Quote: “Shared context is the missing breakthrough in enterprise AI.” — Rahul Mahajan.
GenAI playbooks as interactive, LLM-supported solution recipes tied to digital twins — simulating what-if scenarios and weaving ML into fluidic transformation across the value chain.
On invisible, immersive, real-time personalised experiences — AI partnerships and digital avatars orchestrated across wearables, distributed apps and Web3 infrastructures.
Discusses Nagarro QLab, client research, and quantum use cases in manufacturing, pharma and finance — and why India needs more talent, infrastructure and innovation culture.
On quantum advantage timelines, National Mission on Quantum Technologies, collaboration with academia (incl. IIT Madras), and AI for data-centre optimisation.
On model safety, privacy, bias and ethics as enterprises automate decision pipelines — and why incremental change to foundational models is hard and costly.
Stage session with Ram Reddy on integrating agent graphs with ERP, secure delegation, token-cost control and trade-spend optimisation — Booth #1120, Pacific Hall.
Retailers as orchestrators of partner ecosystems — agentic AI for demand planning, conversational enterprise systems, and runtime integration instead of hard-coded workflows.
Keynoted at Gartner IT Symposium/Xpo on multi-agent systems for consumer goods — integrating agent graphs with ERP, secure delegation, token-cost control and trade-spend optimisation. Live agentic demos at Booth 1120.
At FLO 2026 in Gurugram, walked through three levels of agent maturity — from assistive to autonomous — covering context engineering, white-box reasoning graphs, governance and a live sales control tower demo with parallel hypothesis agents.
At Reuters Events Global Energy Forum in New York, showcased Agentic Brain and non-linear reasoning as a differentiator for agentic enterprise systems.
Joined BRICS Dialogues with global leaders and founders on geopolitical risk, mitigation and how AI reshapes manufacturing and India’s position in that shift.
Public framing of the arc: generative chat and prompting (2022–23) → agents with evals, memory and context engineering (2023–25) → agentic loop engineering and deep agents (2025–26) → headless multi-agent autonomous workflows (2026).
Called out IP ethics as leaders adopt AI coding tools — arguing that organisations must pass on respect for novelty and originality, not just speed.
Drove rollout of Mosaic Agentic OS, deep-tech patent filings, frontier alliances (including OpenAI), Agentic Labs and analyst benchmarking — moving clients from pilots to production inference.
Launched Nagarro’s quantum research and certification pod; published in Dataquest and The Hindu BusinessLine on why India must intensify quantum computing research and adoption.
Argues retailers must become orchestrators of partner ecosystems — using agentic AI for demand planning, conversational enterprise systems and runtime integration instead of hard-coded workflows.
Built and ran a 250+ engineer digital product practice; five consecutive Inventor Awards; patents in ML-based marketing optimisation, content packaging and OLAP — the IP base behind today’s agentic agenda.
IP
Selected granted USPTO filings and pending agentic IP that anchors Nagarro's platform work.
USPTO · US10192270B1 · Jan 2019
ML-based recommendations that identify constraints blocking a global non-linear optimiser, using Lagrange multipliers for sensitivity.
USPTO · US2013054667 (A1) · Feb 2015
Dynamic ML-driven bundling of audio and video using social-graph signals, content age and request length.
USPTO · US20110055807A1 · Apr 2014
Turns a module/dependency description into validated markup and auto-generates build, schedule and test scripts.
USPTO · US20110055146A1 · Aug 2013
Clones OLAP template metadata, proposes rule-conformant options for the analyst, and stores a new cube definition.
USPTO · US2011166980 (A1) · Jul 2011
Builds hierarchical views that preserve sales–investment relationships and computes values on demand by dimension.
Patent pending
A novel technique for transforming enterprise workflows into governed agentic execution graphs.
Filed · Nagarro agentic IP
Methods that compress multimodal knowledge tensors to anchor Nagarro’s agentic platform IP.
Media
Selected articles, podcasts and explainers across national media and technical channels.
India’s Quantum Computing Ecosystem Needs a Boost
Dataquest·
How companies can optimise with AI (podcast)
Indian Express·
India should intensify its efforts in quantum computing research
The Hindu·
AI and Generative Models Internals
YouTube·
Engineering of generative AI and OpenAI DALL·E 2
YouTube·
Quantum Computing and Neuro Reality Intelligence Simulation
TechGig·
Connecting consumer interaction data at scale
TechGig·
Capabilities
Filter by category. Highlighted chips mark most-endorsed skills.
Background
Masters in Computer Application (Computer Science) — Gold Medalist
Institute of Management Education
2001 – 2004
Schooling
Saint Pauls, Kota
1983 – 1997
In one line
Recurring themes: agentic AI beyond copilots, context engineering, governance and responsible AI, quantum computing, and the ethics of novelty in AI-led engineering.
Source: public LinkedIn profile and posts (linkedin.com/in/mahajanmaha), public Nagarro materials, and published media. FLO 2026 featured artifact adapted from a public attendee LinkedIn recap of Rahul’s session. Content summarised for internal employees. Photographs supplied by the project owner. Videos embedded from public YouTube. Compiled November 2026.
Know Your CTO · Nagarro · Internal