Skip to content
Roydon.
AI Agent Developer@Code Crew Studio

RoydonSequeira

I build AI agents that live inside real workflows, not demos.

AI Agent Developer building agents that ship: WhatsApp automation, a personal agent framework called Cortex, and production healthcare AI at ReinHealth.ai before that. Systems that run with real users, not demos.

Hire meDownload CV
Vaanionline
uptime ···

Hi, I'm Vaani, Roydon's personal AI assistant. Ask me about his work, the agents he builds, or hiring him.

Sample question: What has Roydon shipped? Vaani's answer: A WhatsApp agent that onboards customers from the very first message, Cortex, his own agent framework, and production medical AI at ReinHealth.ai.

Sample conversation

AI Agent Developer

Current role — Code Crew Studio

Cortex

Personal agent framework

2+ Years

Shipping AI agents

Healthcare AI

ReinHealth.ai, 2024–2026

Roydon Sequeira portrait

Currently

Available for new projects

Open

Name

Roydon Sequeira

Location

Udupi, Karnataka, India

Email

roydnsequeira@gmail.com

Education

B.E. in AI & ML (2020-2024)

Languages

English, Hindi, Kannada

01 / Introduction

About me

I build AI agents that live inside real workflows, not demos.

I help startups and businesses design and deploy production-grade AI agents that automate workflows, sit inside real communication channels, and enable intelligent software products. My work focuses on agent architecture, Generative AI, and AI-driven automation built using modern machine learning and software engineering practices.

AI Agent Developer and GenAI Engineer with over 2 years of professional experience building autonomous agents, multi-agent systems, Retrieval-Augmented Generation (RAG), and LLM orchestration that runs in production — not slide-deck prototypes.

At Code Crew Studio, I build agents that plug directly into the channels businesses already use, like a WhatsApp agent that runs customer onboarding from the very first message, backed by FastAPI and PostgreSQL. Alongside that I build my own systems: Cortex, a local-first agent framework with layered memory and tree-search planning, and a multi-agent AI resume analyzer.

Before that, at ReinHealth.ai, I led delivery of a production medical AI agent for patient intake that cut intake time from 15 minutes to under 5, along with privacy-first RAG pipelines and clinical workflow automation, in an environment where accuracy, reliability, and data integrity are non-negotiable.

My work sits at the intersection of agent reasoning, tool orchestration, vector retrieval, and the backend infrastructure that keeps all of it reliable once real users show up.

Interested in working together? Let's talk about your project.

Let's talk →

02 / Log

Experience

Agent development at Code Crew Studio, production healthcare AI at ReinHealth.ai, and early ML foundations. Tap an entry to expand the full log.

LOG-01 · Feb 2026 - Present

AI Agent Developer

Code Crew Studio

AI Agent Development Studio

Mumbai, India · Remote

At Code Crew Studio, I build AI agents that plug directly into the channels businesses already use, rather than another chat widget bolted onto a website. The work spans agent architecture, conversational design, and the backend that keeps every conversation's state reliable.

  • WhatsApp AI Agent for Customer Onboarding

    • Automate customer onboarding by building and maintaining a production AI agent on the official WhatsApp Business API that runs structured intake conversations, classifies user problems, and returns analyzed feedback.
    • Preserve conversation continuity across sessions by engineering a multi-turn query system with persistent context, using LangChain for orchestration-heavy flows and direct LLM API calls where lower latency is required.
    • Persist agent state, conversation history, and structured customer records by developing FastAPI backend services on PostgreSQL.

LOG-02 · Jul 2024 - Feb 2026

GenAI Engineer

ReinHealth.ai

Stealth-Mode AI Healthcare Startup

Colorado, USA · Remote

At ReinHealth.ai, I worked as a core GenAI Engineer responsible for designing, building, and productionizing AI-driven healthcare systems, with a strong focus on autonomous AI agents, clinical workflows, and AI-powered automation. My role combined AI system architecture, backend engineering, and workflow automation, operating in a real-world healthcare context where accuracy, data integrity, and reliability were critical.

  • Autonomous Medical AI Agent Development

    • Reduced manual patient-intake workload by an estimated 70% and cut average intake time from 15 minutes to under 5 by leading end-to-end delivery of Areya, a production autonomous medical AI agent conducting structured intake over text and voice.
    • Eliminated third-party exposure of patient data, with zero records sent to external APIs, by architecting an LLM orchestration layer running multi-step reasoning (intent analysis, follow-up selection, tool execution, grounded synthesis) on local Ollama inference.
    • Enabled grounded clinical responses by building a privacy-first RAG pipeline on Qdrant pairing dense embeddings with PostgreSQL.
    • + 1 more

LOG-03 · Jun 2023 - Jul 2023

Machine Learning Intern

Igeeks Technologies

Bengaluru, India

Bengaluru, India

Worked on practical computer vision and machine learning tasks in a collaborative team environment, focusing on image-based classification systems and model development.

  • Key Contributions

    • Built image classification pipelines using CNN, AlexNet, and MLP architectures on custom datasets, achieving iterative accuracy gains through systematic hyperparameter tuning.
    • Implemented OpenCV preprocessing spanning augmentation, normalization, feature extraction, and segmentation, reducing input noise and improving training consistency.
    • Utilized NumPy and Python-based tooling for data manipulation and model input pipelines.

AI that solves real problems. Not prototypes.

Working principle — every system below runs with real users on the other end.

03 / Work

Featured projects

Agents, automation, and ML systems built for real constraints, not demo slides. Scroll to pan through the index.

Areya
Production

call areya()

Advanced Medical AI Agent

Areya

Areya is an advanced medical AI agent that conducts structured, doctor-like patient intake through text and voice. It combines LLM reasoning, medical knowledge retrieval, and workflow orchestration on local inference, and cut intake time from 15 minutes to under 5.

LangChainOllamaQdrantFlaskPostgreSQLDockerSTT/TTS
Cortex

call cortex()

Local-First AI Agent Framework

Cortex

A local-first agent framework built around a four-tier memory architecture and tree-search planning, so agents keep context across sessions and can plan, reason in multiple steps, and correct themselves instead of answering in a single shot.

PythonLATS OrchestrationOpenTelemetry
AI Resume Analyzer
Production

call ai-resume-analyzer()

Multi-Agent Resume Scoring

AI Resume Analyzer

A production resume analyzer that delivers auditable, reproducible scoring against job descriptions with a deterministic five-dimension model, then runs a three-agent pipeline to analyze, optimize, and format the result, streamed live over SSE.

FastAPIQdrantBGE EmbeddingsLangChainClaude/Gemini APIDocker
Clinical Automation Workflows
Production-ready

call clinical-automation()

n8n Workflow Orchestration

Clinical Automation Workflows

A production-ready suite of AI-powered automation workflows designed to streamline clinical operations and medical documentation. The system uses n8n workflow orchestration, LLM-based prompt chains, and strict data validation to automate appointment management, clinical note generation, and medical documentation across multiple modalities.

n8nLLM ChainsPostgreSQLSTT/TTS
Skin Lesion Segmentation & Monitoring
Research / Production-ready

call skin-lesion()

U-Net & ResUNet Research

Skin Lesion Segmentation & Monitoring

Medical image analysis system focused on accurate lesion identification and monitoring using deep learning. Implements U-Net and ResUNet architectures for precise pixel-level segmentation to support early skin cancer screening.

PythonTensorFlow/KerasOpenCVStreamlitU-Net & ResUNet
AI Research Agent
Production-ready

call ai-research-agent()

Autonomous Research Assistant

AI Research Agent

Multi-step research agent that searches sources, synthesizes findings, and produces structured reports with tool-calling and citation tracking. Built for autonomous literature review and competitive intelligence workflows.

LangChainPythonVector DBWeb Search APIs

04 / What I offer

Capabilities
spec sheet

End-to-end agent systems, from architecture to production APIs and channel integrations. Each engagement lists what ships, the tools it's built with, and who it fits.

01

AI Agent Development

Autonomous AI systems capable of reasoning, tool usage, and multi-step task execution.

Ships

  • Autonomous AI agents with multi-step reasoning
  • Multi-agent systems with LLM orchestration
  • Tool-integrated systems (APIs, databases, search tools)
  • Scalable agent architectures for production environments

Built with

LangChainOllamaPythonFastAPIVector DatabasesREST APIs

Fits

Startups building AI products, SaaS platforms, and organizations looking to automate complex tasks.

02

Custom AI Chatbots & Knowledge Assistants

AI chat systems trained on your own business data.

Ships

  • AI chatbots trained on internal documentation
  • Customer support AI assistants, including on WhatsApp
  • Knowledge-base search systems
  • Website AI chat interfaces

Built with

LangChainVector DatabasesEmbeddingsPythonWhatsApp Business API

Fits

Companies with large documentation, SaaS platforms, support teams, and knowledge-driven businesses.

03

AI Workflow Automation

End-to-end automation of complex business workflows using AI.

Ships

  • Automated appointment scheduling systems
  • AI-driven document processing
  • Workflow orchestration with intelligent decision logic
  • Data pipelines with AI analysis

Built with

n8nPythonAPIsPostgreSQLLLM APIs

Fits

Businesses looking to reduce operational workload and automate data-heavy processes.

04

Private AI Knowledge Systems (RAG)

Secure AI systems trained on internal company data.

Ships

  • Internal AI search engines
  • Document intelligence systems
  • Research assistants for teams
  • Knowledge retrieval platforms

Built with

QdrantChromaDBLangChainBGE EmbeddingsPythonVector Search

Fits

Research teams, consulting firms, healthcare platforms, and enterprises managing large knowledge bases.

05

AI Backend & API Development

Production-grade infrastructure for AI-powered applications.

Ships

  • AI-powered REST APIs
  • Backend infrastructure for AI applications
  • Scalable AI data pipelines
  • Secure data processing systems

Built with

PythonFastAPIFlaskPostgreSQLRedisDocker

Fits

Startups building AI products and companies integrating AI into existing software systems.

06

Healthcare AI & Medical Automation

AI solutions tailored for healthcare workflows and medical data systems.

Ships

  • AI medical assistants
  • Clinical documentation automation
  • Patient interaction systems
  • Healthcare workflow automation

Built with

LangChainLLMsRAGn8nPythonPostgreSQL

Fits

Healthcare startups, clinics, digital health platforms, and medical technology companies.

05 / Toolkit

Stack index

59 entries · 6 groups

Core

  • Python
  • LangChain
  • Qdrant
  • FastAPI
  • Docker
  • Multi-Agent Systems
  • LLM Orchestration
  • RAG
  • Semantic Retrieval
  • WhatsApp Business API
  • PostgreSQL
  • n8n
  • Ollama

01Generative AI & LLMs

  • Generative AI
  • Large Language Models (LLMs)
  • LLM Orchestration
  • Multi-Agent Systems
  • LangChain
  • RAG Pipelines
  • Semantic Retrieval
  • Prompt Engineering
  • Ollama
  • BGE Embeddings
  • STT/TTS

02Vector Databases

  • Qdrant
  • ChromaDB
  • Vector Search
  • Embedding Pipelines
  • Semantic Search

03Languages & Backend

  • Python
  • SQL
  • FastAPI
  • Flask
  • REST APIs
  • PostgreSQL
  • Redis
  • Pydantic
  • Uvicorn

04ML & Computer Vision

  • PyTorch
  • TensorFlow
  • scikit-learn
  • CNN
  • AlexNet
  • MLP
  • OpenCV
  • NumPy
  • Pandas
  • Hyperparameter Tuning

05Infrastructure & Tools

  • Docker
  • Git
  • GitHub Actions (CI/CD)
  • n8n
  • Linux
  • Twilio
  • WhatsApp Business API
  • Hugging Face
  • Vercel
  • ruff
  • mypy

06 / Education

Academic background & certifications

Formal foundations in AI & ML, plus completed certifications in data science and generative AI engineering.

Academic Background

B.E. in Artificial Intelligence & Machine Learning

  • Specialized in AI, ML, and GenAI
  • Focus on autonomous systems and intelligent agents

NMAM Institute of Technology

2020 - 2024

Certifications & Ongoing Learning

Executive Post Graduate Certification in Data Science & Artificial Intelligence

  • Advanced Data Science techniques
  • AI system architecture and deployment

iHUB DivyaSampark, IIT Roorkee

2024 - 2026

Ultimate Data Science & GenAI Bootcamp

  • Comprehensive GenAI training
  • LLM applications and deployment

Krish Naik Academy

Completed

07 / Contact

Let's build something that ships.

Open to AI agent engineering roles and collaborations. Send a message below or reach out directly — I usually reply within 24 hours.

roydnsequeira@gmail.com

Follow me

Say hello

Send me a message and I'll get back to you soon.

Powered by FormSubmit · No backend required