Rahul Shetty

Consultant in Canada

About Me

I’m Rahul, a consultant with a strong commitment to advancing responsible artificial intelligence. My work is guided by a clear vision: a future where AI systems are not only innovative and powerful, but also ethical, secure, and globally inclusive.

I explore the evolving AI landscape through careful analysis, strategic thinking, and applied research, with a focus on the real-world implications of deploying intelligent systems. A central part of my work is inviting others into the conversation around AI safety, governance, and societal impact—questions that are no longer theoretical, but urgent and practical.

Areas of Focus

In today’s AI-powered world, ensuring the reliability, fairness, and transparency of models is no longer optional—it's essential.

My current focus includes:

Retrieval-Augmented Generation (RAG) + Small Language Models (SLMs): Investigating how compact, efficient language models can be paired with RAG pipelines to achieve scalable, privacy-conscious, and context-aware AI solutions—particularly in regulated domains such as healthcare and policy.

AI Regulation: Analyzing frameworks such as the and regulatory frameworks, which establishes legal requirements to guide the safe and trustworthy deployment of AI systems across jurisdictions.

Ethical Standards: Applying insights from the regulatory guidelines on autonomous systems to align technical development with core values like accountability, transparency, and human oversight.

Model Monitoring & Drift Detection: Emphasizing the importance of tracking distributional shifts and data drift to maintain reliability post-deployment.

Bias Mitigation: Leveraging tools such as SMOTE to address class imbalance and ensure representative learning across diverse datasets.

AI Auditing & Explainability: Utilizing interpretable ML techniques like SHAP (SHapley Additive exPlanations), LIME (Local Interpretable Model-Agnostic Explanations), and Fairlearn to promote algorithmic fairness, auditability, and regulatory compliance.

Let's collaborate to ensure that artificial intelligence serves humanity in the best possible way.

🔹 Consulting/Strategic Edge

Select Publications:

  • Scaling Responsible Medical Text Retrieval across Silos: Evaluating- Small Language Models with Retrieval Augmented Generation-2026
  • Towards a Regulatory Framework for Electronic Medical Record Data Visualization-Stud Health Technol Inform-2024 Feb 19:312:64-68.

2025

  • Microsoft-OPS Hackathon 🏆Second place
  • Google-ODSC Hackathon
  • Google-ODSC-Hackathon🥇 Top Finalist

2024

Certifications

  • Lean Sigma Black Belt
  • AI Credential- DSI Certificate- University of Toronto
  • Data Science Certificate- University of Toronto
  • Education
    • University of Toronto
    • University of Helsinki