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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
The fifty-person company at a billion in revenue is real. The lessons most leaders draw from it are wrong. What AI actually changes about org design
Read insight →
Answer engines now mediate access to your content. A practitioner's view of what to optimize, what to ignore, and how to measure without click-through
Every architect is asking the same question — do we need one? A taxonomy of what an AI gateway actually does, and a decision framework for build versus buy
When pgvector wins, when it doesn't, and the scaling patterns that decide. A practitioner's view of the database consolidation now sweeping AI stacks
The instinct to reach for the biggest model is wrong more often than it is right. A practitioner's decision matrix for SLMs versus frontier LLMs
Agent demos that work in slides routinely fall over in production. An SRE-style framework for AI agents: SLIs, evals, failure modes, and a maturity model
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.