Can he build agentic AI workflows or AI agents for my business?+
Yes — this is his main focus right now. He designs and builds AI agents that plan, call tools and complete multi-step business processes, such as MCP servers that let an agent turn Figma designs into production Next.js components or model and publish content in Contentful and Contentstack, and RAG assistants that answer questions over internal company data. Every build includes tool calling, structured output, evaluation, guardrails and human-in-the-loop approval so the automation is reliable and auditable.
What does an AI project engagement with him look like?+
It usually starts with a short discovery to pin down the workflow or use case, the data involved and what success looks like. He then builds a working proof of concept, typically in one to three weeks, so you can see the agent or assistant running on your real data. If it proves out, he takes it to production: hardening prompts and tools, adding evaluation, guardrails, observability and access control, and integrating it into your existing Next.js, Node.js or CMS stack. Engagements can be fixed-scope, ongoing, or embedded with your team.
How does he keep AI apps accurate, secure and on-brand?+
By grounding answers in your own data with retrieval and citations rather than relying on the model's memory, layering base system prompts with dedicated security prompts and role-based access control, filtering inputs and outputs with Azure AI Content Safety, defending against prompt injection, and measuring quality with LLM evaluation and LLM-as-a-judge scoring before and after launch. Sensitive or high-impact actions stay behind human approval gates.
Does he have experience with Generative AI, RAG, or LLM applications?+
Yes. He designs and builds production LLM applications on Azure AI Foundry and Azure OpenAI — including an enterprise Retrieval-Augmented Generation (RAG) HR assistant with Pinecone vector search, re-ranking, and role-based prompt guardrails, and an AI interview and candidate screening platform using LLM-as-a-judge scoring. He also builds Model Context Protocol (MCP) servers that let AI agents generate Next.js code from Figma designs and automate headless CMS content modelling and publishing.
Is Nishanthan available for freelance or full-time roles?+
He's open to full-time technical leadership and full stack engineering roles, contract work, and freelance projects — remote or based out of Colombo, Sri Lanka. He's especially interested in roles leading cross-functional teams that align technology with business goals to ship accessible, high-impact products.
I need to hire a freelance full stack developer in Sri Lanka — is he available?+
Yes. He takes on freelance and contract full stack engineering work for clients in Sri Lanka and remotely worldwide — from Next.js/React builds and Contentful-driven marketing sites to Node.js/NestJS/GraphQL backends, AWS integrations, and technical leadership for existing teams. Reach out through the contact section below to discuss your project.
What technologies and tech stack does he specialize in?+
His core stack spans JavaScript and TypeScript across the full stack: React and Next.js on the frontend, Node.js and NestJS with GraphQL on the backend, MySQL, MongoDB and Snowflake for data, and Python for scripting and automation. On infrastructure, he works with AWS, Vercel, CI/CD pipelines (TeamCity, Octopus Deploy), and headless CMS platforms like Contentful and Contentstack. On the AI side, he builds RAG systems and AI agents on Azure AI Foundry and Azure OpenAI with Pinecone vector search and Model Context Protocol (MCP) servers.
Does he have experience leading engineering teams?+
Yes. He leads cross-functional teams through agile delivery, aligning technical decisions with business and marketing goals. At Verdentra, he was promoted from Senior Software Engineer to Associate Technical Lead, directed staff augmentation for Paycor's HR portfolio, mentored 6 engineers, and scaled the engineering team from 6 to 31 people. At Eight25Media, he carries Engineering Lead / Engineering Manager responsibility for PandaDoc's B2B marketing platform, directing a team through the full lifecycle from architecture to production.
What makes him different from other full stack developers?+
He combines hands-on engineering with self-taught UI/UX design sense and business fluency — he doesn't just ship code, he translates complex technical decisions into measurable outcomes for stakeholders and builds trusted client relationships along the way. That mix of architecture, delivery leadership, SEO awareness, and design judgment is what he brings to every team.
How can I contact Nishanthan Janarthanarajah?+
You can reach him by email or connect on LinkedIn and GitHub — links are available in the contact section below. He's happy to discuss agentic AI workflows, RAG assistants, MCP servers and AI-powered apps, as well as full stack Next.js/Contentful/Vercel projects, technical leadership, and SEO and performance engineering.
