Roydon Sequeira
@roydonsequeira
AI Agent Developer at Code Crew Studio; delivered a production-ready autonomous medical AI agent at ReinHealth.
IndiaWhat I'm looking for
At ReinHealth, I designed and delivered a production-ready autonomous medical AI agent that conducted patient conversations, asked clinical follow-up questions, retrieved relevant context, and returned grounded responses.
I built privacy-first RAG infrastructure with Qdrant and local LLM inference via Ollama, and developed clinical documentation workflows with n8n. The platform connected AI agents, automation, and frontend interfaces through REST APIs.
As an AI Agent Developer at Code Crew Studio, I work in AI agent development. I’m continuing to deepen my expertise through an Executive PG in Data Science & AI from IIT Roorkee.
Experience
Work history, roles, and key accomplishments
Worked as AI Agent Developer at Code Crew Studio.
Worked as a core GenAI Engineer responsible for designing, building, and delivering production-ready AI-driven healthcare systems, spanning autonomous AI agents, clinical workflows, and AI-powered automation.
• Led end-to-end design and delivery of a production-grade autonomous medical AI agent capable of conducting structured, doctor-like patient conversations via text and voice, designed to rep
Worked on practical computer vision and machine learning tasks in a collaborative team environment, building image classification systems using deep learning architectures.
• Built and trained image classification pipelines using CNN, AlexNet, and MLP architectures on custom datasets, achieving iterative performance improvements through systematic hyperparameter tuning.
• Implemented OpenCV-base
Education
Degrees, certifications, and relevant coursework
Intellipaat
Microsoft SQL Certification Training
Jul 2026
iHUB DivyaSampark @ IIT Roorkee
Executive Post Graduate Certification in Data Science & Artificial Intelligence
Aug 2026
NMAM Institute of Technology
Artificial Intelligence and Machine learning
2020 - 2024
B.E. in Artificial Intelligence & Machine Learning (2020 – 2024)
Coursework covered machine learning, deep learning, computer vision, and natural language processing.
Final year project: Skin Lesion Segmentation using U-Net and ResUNet architectures for automated dermatological screening (ISIC 2018 dataset).
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Website
roydonsequeira.comPortfolio
roydonsequeira.comSalary expectations
Job categories
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