# Puneet Singhal

> Senior AI Engineer, AI Solutions Architect, and Fractional CTO in the New York City Metropolitan Area. He builds agentic AI systems, agent harnesses, MCP integrations and RAG, and is available for fractional CTO, consulting, freelance and full-time work.

The pages linked below are markdown copies of the site, one article per URL. Start with Writing for the longer articles. Optional lists shorter notes you can skip when context is tight. Profiles are the canonical places to confirm who Puneet is and how to hire him. The homepage describes 35+ shipped projects.

## Writing

- [Voice AI lead generation platform architecture](https://www.puneetsinghal.com/blog/voice-ai-lead-generation-architecture/index.md): The architecture of a multi-client AI lead generation platform: data intake and enrichment, a CRM system of record, n8n orchestration, Vapi voice AI agents, WhatsApp, email and a human rescue desk with masked calling.
- [Agent harness engineering: a production guide](https://www.puneetsinghal.com/blog/agent-harness-engineering/index.md): Agent = model + harness. The seven layers of a production agent harness — tools and MCP, context, state, sandbox, guardrails, verification and evals — with a case study from an infrastructure-provisioning agent.
- [Anthropic Claude enterprise AI updates (April 2026)](https://www.puneetsinghal.com/blog/claude-enterprise-updates-april-2026/index.md): Enterprise briefing on Anthropic’s April 2026 Claude releases: Claude Design, org-wide preferences, Claude for Word (beta), Claude Code routines, and Cowork live dashboards—usage, governance, and rollout.
- [Where do LLMs learn from? Understanding training data sources](https://www.puneetsinghal.com/blog/llm-training-data-sources/index.md): The four primary sources of LLM training data — web crawling, professional databases, synthetic data and commercial licensing — and how Common Crawl data is filtered, cleaned and packaged for training.
- [Mistral OCR 3: document accuracy and efficiency](https://www.puneetsinghal.com/blog/mistral-ocr-3-document-accuracy/index.md): Mistral OCR 3 for invoices, forms and complex tables: high-fidelity extraction, HTML table reconstruction and pricing of $1–2 per 1,000 pages for document AI pipelines.
- [The Gartner AI maturity model: a roadmap for enterprise AI adoption](https://www.puneetsinghal.com/blog/gartner-ai-maturity-model/index.md): Gartner’s five-level AI maturity framework, its seven assessment pillars, and practical strategies to build capabilities and move from awareness to transformation.

## Profiles

- [Homepage](https://www.puneetsinghal.com/): Portfolio, experience, 35+ projects and contact
- [LinkedIn](https://www.linkedin.com/in/puneet-starling-elevate): Professional profile
- [GitHub](https://github.com/psinghal1188): Source code
- [Upwork](https://www.upwork.com/freelancers/puneetsinghal?mp_source=share): Freelance profile

## Optional

- [Why your next product should be a chat-web application](https://www.puneetsinghal.com/blog/chat-web-applications/index.md): Traditional dashboards are giving way to conversational workflows. How to design chat-web apps with LangGraph, LLMs and automation stacks that let users ask, act and automate in one place.
- [How to integrate LLMs into enterprise microservices](https://www.puneetsinghal.com/blog/llm-integration-microservices/index.md): A pragmatic guide to adding LLM-powered capabilities to existing services, with patterns for security, latency and cost.
- [Agentic AI systems architecture with LangGraph](https://www.puneetsinghal.com/blog/agentic-ai-architecture/index.md): Designing multi-agent workflows for orchestration, routing and reliable tool use across enterprise contexts.
- [Vector databases for semantic search: patterns and pitfalls](https://www.puneetsinghal.com/blog/vector-databases-semantic-search/index.md): Choosing a vector database, chunking strategies, metadata filters and evaluation for production semantic search.