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Gen AI & Agentic Applications
- LLMs · Custom AI Agents · RAG
- LangChain · LangGraph · open-source models
- Intelligent chatbots & analytics dashboards
- AI safety, governance, and guardrails
Director and Head of Engineering · Everest Group
Director of Engineering | Gen AI & Agentic Applications | Product Development & Machine Learning | DevOps & Cloud Governance | Agile Leadership
Director and Head of Engineering at Everest Group. I work at the intersection of deep tech and business strategy — leading the design and delivery of scalable, enterprise-grade solutions across Generative AI, agentic applications, product engineering, cloud infrastructure, and DevOps.
I drive IT strategy, enterprise architecture, and platform engineering — aligning every initiative with business goals and balancing innovation with practical execution.
Path
Everest Group · Jan 2026 – Present
Leading the engineering org — strategy, hiring, platforms, and the GenAI Center of Excellence.
Everest Group · Jan 2024 – Dec 2025
Scaled multiple delivery squads. Stood up the GenAI Center of Excellence. Ran cloud + DevOps modernization.
Everest Group · Jul 2022 – Dec 2023
Built the founding engineering team and shipped the first AI-integrated SaaS platforms.
Grail Insights · Nov 2020 – Jul 2022
End-to-end delivery of data science products for Fortune 500 clients.
Telesoft · Jan 2020 – Sep 2020
ML-driven threat intelligence — botnet, DDoS, phishing detection pipelines.
Wipro · May 2018 – Jan 2020
Forecasting + anomaly detection for telco operations. Workforce-management analytics.
Project Guru · Dec 2017 – May 2018
Research-grade analytics across education, healthcare, and finance.
AVP Solutions · Aug 2015 – Oct 2016
Led an 18-member team — sales segmentation models and predictive planning.
What I do
I work where AI strategy, platform thinking, and engineering leadership intersect. Below is a snapshot — the insights go deeper.
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Featured initiatives
Three flagship transformations I've led — each scaled across an enterprise, with measurable business outcomes.
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Drove enterprise-wide adoption of advanced AI and GenAI. Infused intelligence into products, processes, and delivery models — positioning the business to scale with next-gen innovation.
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Operationalised the Product Engineering division — enabling a strategic shift toward a dual revenue model. Translated leadership vision into scalable product offerings alongside core services.
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Architected and deployed a suite of enterprise-grade AI automation tools — custom AI Agents, intelligent chatbots, and AI analytics dashboards. Saved thousands of operational hours across functions.
What's new
In AI-first markets, trust is the product. Go-to-market now hinges on how credibly you handle safety, data rights, and governance—long before a proof of value.
Read insight →
Decision framework across SaaS copilots, open agent frameworks, and internal platforms—covering TCO, risk, and lock-in.
Short answer: yes. The automation stack is converging—deterministic workflows are merging with goal-seeking AI agents, and the platforms are hardening fast.
Turn frontline managers into capability composers—prompt templates, playbooks, governance, and training.
AI copilots and automation make it easy to produce more stuff. The point isn't more stuff. The point is faster cycles, steadier reliability, and measurable business impact.
Redesign roles and interviews to test decomposition, interfaces, and trade-offs over raw coding speed.
Have a question?
From "what's your view on platform engineering?" to "how would you approach building an internal agent platform in a regulated industry?" — the assistant retrieves my actual posts and answers with citations.
Get in touch
If you're building something at the intersection of AI, platform, or engineering leadership — let's talk. I read every message.