A named expert, visible credentials, and a clear path to working together, not an anonymous AI staffing profile.
Yash Patel is a Lead AI Engineer at Pragnakalp who has cleared the Claude certification exam and completed Anthropic training across Claude Code, Claude API, MCP, Agent Skills, and Subagents.
Anthropic courses
Expert collaboration
Initial response target
What you can hire this architect for:Â Claude API applications, RAG knowledge assistants, MCP-connected tools, Claude Code implementation, agent and subagent orchestration, workflow automation, and enterprise integrations.
Claude is Anthropic’s family of large language models, known for strong reasoning, long-context understanding, and a safety-first design that enterprises trust with sensitive data.
But the model is only half the story. Getting real value means choosing the right model for the job, engineering prompts and skills, wiring Claude into your systems, and controlling cost at scale. That is exactly where our developers work every day.
Context windows for whole documents and codebases
Native tool and system connections via Model Context Protocol
Trusted in privacy-sensitive healthcare and finance workflows
Web search, web fetch, and multi-step autonomous loops
Anyone can call an API. A certified developer knows the features that decide whether your project is fast, accurate, and affordable in production.
Credentialed through Anthropic's own training, our developers apply proven patterns instead of guessing their way through the docs.
Prompt caching, batch processing, and structured outputs are not buzzwords to us. Used well, they cut cost and latency dramatically.
We build for evaluation, monitoring, and maintenance from day one, so your Claude system stays accurate long after launch.
End-to-end delivery across the Claude ecosystem, tailored to your product and your data.
Connect Claude to your app, CRM, database, or internal tools with clean, maintainable, production-ready code.
Retrieval systems grounded in your knowledge, with source attribution and structured outputs you can trust and render.
Autonomous agents that use web search, web fetch, and MCP tools to complete real multi-step tasks reliably.
Extract entities, classify line items, and structure PDFs, emails, and scans with Claude's vision and reasoning.
Encode your domain rules as reusable Agent Skills and add cross-session Memory for consistent, improving output.
Prompt caching and batch processing to cut re-ingestion cost and latency, with batch runs reducing spend significantly.
Three production systems, with the exact Claude features that made each one work.
Two Claude Skills, Job Search and Job Ranking, work together inside Claude Code. Claude in Chrome and Computer Use navigate real job platforms, extract structured listings, and Claude Sonnet ranks every opportunity against the user’s requirements.
We ingest a full Oracle schema, embed it with Voyage Code 2, and answer natural-language questions with Claude Sonnet. A second pipeline turns schema objects into Mermaid ER diagrams that stay in sync with the live database.
Procurement quotes arrive as PDFs, email text, or URLs. Claude Opus extracts vendor, part number, condition code, and tagged-by, then classifies every line item. Agent Skills encode domain rules and the Memory tool keeps context across sessions.
Senior engineers who work with Claude every day, not occasional dabblers.
Seamless collaboration across every time zone your team works in.
Kick off immediately with architects who are ready to build now.
A trial period with a fast replacement if the fit is not perfect.
Clear visibility at every step of your Claude development journey.
Maximum value for your budget, with caching and batch built in.
Strong relationships built for continuous AI innovation.
A track record of clients who come back for the next build.
Design, build, deploy, and maintain, all under one roof.
Product intelligence, support automation, and personalized shopping experiences.
Safe document analysis and knowledge assistants for privacy-sensitive data.
Report generation, risk analysis, and secure, compliant data handling.
Quote extraction, line-item classification, and contract intelligence.
Structured data collection and enrichment across the web at scale.
Claude features embedded natively into your product for real user value.
Claude can power chatbots and assistants, extract and structure data from documents, run autonomous multi-step agents, build RAG systems over your knowledge, and automate content and analysis, all with a safety-first design enterprises trust.
Certified architects know the specific features, prompt caching, batch processing, structured outputs, extended thinking, that decide whether your system is fast, accurate, and affordable in production. That expertise is the difference between a demo and a dependable product.
Claude is known for strong reasoning, long-context handling, and a safety-first approach that makes it a common choice for privacy-sensitive work. The right model depends on your use case, and we help you choose rather than assume.
Yes. We connect Claude to your CRM, databases, internal tools, and third-party services, including through the Model Context Protocol, so it fits your current stack instead of replacing it.
We use prompt caching to avoid re-processing large, repeated context, and batch processing for asynchronous workloads, which reduces spend significantly. We also right-size the model to the task rather than defaulting to the largest one.
Yes. On delivery you receive full ownership of the code and the solution built for you.
It depends on scope and complexity. After a short discovery call we give you a transparent estimate for both timeline and cost so there are no surprises.
