About Sanjoy Roy

Senior Backend & AI Engineer | Healthcare Data Systems

I am a senior backend and AI engineer with over 17 years of experience working at the intersection of software systems, healthcare data, and operationally constrained environments. My work focuses on designing and evolving cloud-native backend systems and AI-enabled data platforms. I approach AI not as a standalone capability, but as one component within larger systems that must remain reliable, auditable, and understandable over time.

A significant part of my background comes from hands-on experience in healthcare informatics, including hospital information systems, laboratory and diagnostic workflows, electronic medical records, and clinical data exchange. Working closely with real healthcare environments has shaped a pragmatic understanding of how clinical data is generated, accessed, and governed—often under resource constraints, regulatory pressure, and high operational risk. This experience strongly influences how I think about system design, data quality, and responsible use of AI in sensitive domains.

Today, my work brings together backend engineering rigor, healthcare data realism, and cautious AI integration. I am particularly interested in how systems behave under privacy and decentralization constraints, how governance and access design affect trust and misuse risk, and how data platforms can evolve to support analytics and AI without compromising safety or compliance. Across roles and projects, my emphasis remains on clarity, long-term maintainability, and systems that can survive real-world complexity rather than idealized assumptions.

Professional Focus

My work spans three closely related areas, each reinforcing the others rather than existing in isolation.

Cloud-Native Backend Engineering & System Architecture

I design and evolve backend systems that serve as stable foundations for data-intensive and AI-enabled applications. This includes service architecture, distributed system interfaces, data pipelines, containerized deployments, and operational workflows across modern cloud platforms. The emphasis is on predictable behavior, observability, and disciplined system evolution rather than short-term optimization.

Healthcare Informatics & Clinical Data Systems

I work with healthcare organizations and healthcare-adjacent platforms to model clinical workflows, improve data structure and interoperability, and align systems with regulatory and operational realities. This work focuses on correctness, usability, and governance—ensuring that healthcare data platforms remain trustworthy as they grow in scope and complexity.

AI-Enabled Systems & Intelligent Data Platforms

I integrate AI capabilities—such as retrieval-based systems, semantic search, and AI-assisted data processing—into larger software platforms with explicit boundaries and controls. The goal is to enable AI use that is grounded in real data, observable in operation, and appropriate for regulated or high-risk environments rather than experimental or demo-driven deployments.

How I Work

Across domains, my approach is systems-oriented and pragmatic:

  • Start with clear data and service boundaries
  • Design for evolution, not finality
  • Treat observability, governance, and access control as first-class concerns
  • Introduce AI only where it can be evaluated, monitored, and constrained
  • Favor long-term reliability over short-term novelty

This approach has allowed teams and organizations to build platforms that remain usable, adaptable, and trustworthy even as requirements and technologies change.

Collaboration & Roles

Depending on context, I work as:

  • a senior or principal backend / platform engineer,
  • an AI systems engineer focused on integration and evaluation,
  • a systems architect advising on data and platform design,
  • or a technical partner helping teams navigate complex healthcare or data-sensitive environments.

In all cases, the emphasis is on shared understanding, clear communication, and disciplined execution rather than heroics or hype.

Get in Touch

If you are working with complex backend systems, healthcare data, or AI initiatives where reliability, governance, and trust matter, I’m always open to thoughtful conversations.