01
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
I'm Prateek. I build the teams that build the future.
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.
- 10+ years engineering leadership
- Insights on AI · platform · leadership
- Available for advisory
Path
More than a decade of building, hiring, shipping.
- 2026
Director and Head of Engineering
Everest Group · Jan 2026 – Present
Leading the engineering org — strategy, hiring, platforms, and the GenAI Center of Excellence.
- 2024
Senior Manager, Engineering
Everest Group · Jan 2024 – Dec 2025
Scaled multiple delivery squads. Stood up the GenAI Center of Excellence. Ran cloud + DevOps modernization.
- 2022
Manager, Technology Solutions
Everest Group · Jul 2022 – Dec 2023
Built the founding engineering team and shipped the first AI-integrated SaaS platforms.
- 2020
Project Lead
Grail Insights · Nov 2020 – Jul 2022
End-to-end delivery of data science products for Fortune 500 clients.
- 2020
Data Scientist
Telesoft · Jan 2020 – Sep 2020
ML-driven threat intelligence — botnet, DDoS, phishing detection pipelines.
- 2018
Business Analyst
Wipro · May 2018 – Jan 2020
Forecasting + anomaly detection for telco operations. Workforce-management analytics.
- 2017
Data Analyst
Project Guru · Dec 2017 – May 2018
Research-grade analytics across education, healthcare, and finance.
- 2015
Team Leader
AVP Solutions · Aug 2015 – Oct 2016
Led an 18-member team — sales segmentation models and predictive planning.
What I do
Four practice areas, one operating model.
I work where AI strategy, platform thinking, and engineering leadership intersect. Below is a snapshot — the insights go deeper.
02
Product Development & ML
- Python · Django · Flask · FastAPI
- MERN · R · SQL / NoSQL / Vector DBs
- Data platform engineering & visualization (PowerBI, Tableau)
- AI/ML-driven automation & advanced analytics
03
DevOps & Cloud Governance
- Azure · AWS · GCP · cloud strategy
- Azure DevOps · Jenkins · GIT · JIRA
- CI/CD · Infrastructure as Code
- Server operations & infrastructure reliability
04
Engineering Leadership
- Agile / Scrum · SDLC · program management
- Enterprise architecture · platform engineering
- IT cost optimization & tech investment strategy
- Digital transformation & scalable product delivery
Featured initiatives
Programs that moved the needle.
Three flagship transformations I've led — each scaled across an enterprise, with measurable business outcomes.
01
AI & GenAI Transformation
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.
02
Product Engineering Transformation
Operationalised the Product Engineering division — enabling a strategic shift toward a dual revenue model. Translated leadership vision into scalable product offerings alongside core services.
03
Enterprise AI Automation Suite
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
Latest insights on AI, platform, and leadership.
All insights →The Dreaming Pattern: When AI Agents Learn From Their Own Sessions
Anthropic's Dreaming lets agents learn from their sessions. The taxonomy of session-replay learning patterns, where each pays off, and the eval that proves it
Read insight →
The Agent Code Explosion Is Breaking Your CI. Here's How to Adapt.
AI agents commit 30-60 times per session. Your CI was built for 15 per day. The diagnostic for CI bottlenecks specific to AI-generated changes
JSON Schema Is the Most Important API Standard of the AI Era
JSON Schema quietly unified OpenAI strict mode, Anthropic tools, MCP, and OpenAPI. What it guarantees, what it doesn't, and the failure modes to design around
DuckDB and the Embedded Analytics Revolution
The laptop-class analytics engine has crossed into production. When DuckDB replaces a warehouse, when it doesn't, and the cost-complexity break-even points
Memory Architecture for AI Agents: The Real Hard Problem
Context windows are not memory. A four-tier model from cognitive science, the storage choices that follow, and the security question every team is missing
Why 95% of GenAI Pilots Fail: A Workflow Integration Playbook
Your model is fine. Your workflow is broken. What MIT and Stanford reveal about the 5% of GenAI pilots that actually ship — and what the rest get wrong
Have a question?
Ask my AI — it's trained on everything I've written.
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.
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Get in touch
Hiring, advising, speaking, or just a good conversation?
If you're building something at the intersection of AI, platform, or engineering leadership — let's talk. I read every message.