Technical Specialization

AI Agent Development

What is an AI Agent? An AI Agent is an autonomous software system powered by Large Language Models (LLMs) that can perceive its environment, make decisions, and execute complex workflows without constant human intervention.

I specialize in building production-ready AI agents tightly integrated with the MERN stack and Next.js applications. By connecting LLMs to custom APIs, calendars, and internal data, I help businesses automate customer interactions, booking pipelines, and specialized extraction tasks — with guardrails suited for real production traffic.

Who this is for: founders and operators who need agents that take action (book, update, notify, extract) — not chatbots that only reply with text.

Core AI Capabilities

Autonomous Booking Bots
Replacing static forms with conversational AI agents capable of checking calendar availability, resolving scheduling conflicts, and securely confirming appointments in real time.
RAG Systems (Retrieval-Augmented Generation)
Building systems that securely query your proprietary SaaS databases and internal manuals to deliver accurate, contextual answers grounded in your data.
Web Scraping & Extraction Agents
Combining scraping pipelines with LLMs to extract, clean, and structure messy web data into robust JSON for your applications.
AWS Powered Deployment
Deploying AI and scraping workloads on AWS with serverless patterns for uptime and controlled infrastructure cost.

How delivery works

  1. 1.

    Workflow mapping

    We define the goals, tools, guardrails, and human handoff points so the agent only acts where automation is safe and valuable.

  2. 2.

    Tool & data wiring

    I connect calendars, CRMs, databases, and internal APIs with strict auth so every action is audited and reversible where needed.

  3. 3.

    Eval & harden

    Prompt/tool evals, failure recovery, logging, and cost controls ship before production so the agent stays reliable under real traffic.

Frequently Asked Questions

How long does it take to develop a custom AI Agent?

Developing a custom AI agent typically takes between 2 to 6 weeks depending on workflow complexity, database integration requirements, and security configurations. A highly-capable intelligent booking bot integrated with existing calendars usually takes about 3 weeks to deploy.

What is the difference between an AI Agent and a standard chatbot?

A standard chatbot responds to text using pre-programmed rules. An AI Agent is autonomous; it can actively invoke APIs, execute backend scripts, securely query your database, and trigger outcomes like writing records, sending emails, or confirming a booking based on the goals it is given.

Can AI Agents automate complex web scraping?

Yes. By coupling an AI Agent with robust automation frameworks, the agent can navigate intricate websites, interpret unpredictable HTML, and structure raw DOM data into usable APIs for your SaaS platform.

Which LLM providers can you integrate?

I integrate OpenAI, Anthropic, and other modern LLM APIs behind your own keys and rate limits. The agent layer stays portable so you can swap models without rewriting business logic.

Related Services

Most engagements combine more than one specialty. Explore related work that often ships together.

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