Talks portfolio
A collection of talks I've presented in various conferences
AI
As AI model usage grows across enterprise systems, teams face new infrastructure challenges—fragmented integrations, inconsistent interfaces, and limited visibility into model performance. An AI Gateway bridges this gap by providing an abstraction layer for model routing, guardrails, and observability, standardizing how applications interact with AI models.
This session explores AI Gateway architecture, key design patterns, and integration strategies with existing API and DevOps ecosystems. Attendees will learn how to implement model routing, enforce runtime safety and compliance, and build unified monitoring for prompt-level analytics—all forming the foundation of a scalable enterprise AI platform.
API Strategy & governance
This talk aims to demystify the process of developing and implementing API strategies, catering to both technical and non-technical audiences. Drawing from real-world experiences with Fortune 500 companies, the content will cover the essential elements of a successful API program, including:
- Crafting a Tailored API Strategy: Learn about key elements in formulating a strategic roadmap for APIs that aligns with the unique goals and challenges of your organization.
- API Architecture Excellence: Dive into best practices for designing scalable, secure, and future-proof API architectures that drive innovation.
- Reasons for Failure: Explore common pitfalls and reasons why API strategies fail to gain traction, offering insights into avoiding these obstacles.
- Case Studies and Practical Insights: Gain insights from real-world case studies, illustrating successful API strategies and the impact they've had on business outcomes.
As organizations increasingly rely on APIs to power digital transformation, the need for consistent, scalable, and secure API management has become critical. However, implementing effective API governance is a complex endeavor fraught with challenges that span technical, organizational, and cultural dimensions. This talk delves into the multifaceted challenges of API governance, including:
- Balancing standardization with flexibility to accommodate diverse use cases.
- Aligning cross-functional teams with varying priorities and levels of API maturity.
- Ensuring compliance with evolving security, privacy, and regulatory standards.
- Overcoming resistance to change and fostering a culture of accountability.
- Integrating governance processes without stifling innovation or agility.
Drawing on over 10 years of experience dedicated exclusively to API strategy, governance, and implementation across industries, the presenter will share actionable insights and proven strategies for addressing these challenges. Attendees will gain practical tools to define clear governance frameworks, leverage automation, and promote stakeholder alignment, ensuring scalability, reliability, and long-term success in a rapidly evolving API ecosystem.
Presented at Dev2Next 2025 and APIConf 2025API Design
In today’s fast-paced development environment, delivering robust and efficient APIs requires a streamlined design process that minimizes delays and maximizes collaboration. Mocking has emerged as a transformative tool in the API design lifecycle, enabling teams to prototype, test, and iterate at unprecedented speeds.
This talk explores the role of mocking in enhancing API design workflows, focusing on its ability to:
- Facilitate early stakeholder feedback by simulating API behavior before development.
- Enable parallel development by decoupling frontend and backend teams.
- Identify design flaws and inconsistencies earlier, reducing costly downstream changes.
- Support rapid iteration and experimentation without impacting live systems.
Using real-world examples and best practices, we’ll demonstrate how tools like Prism and WireMock can be leveraged to create mock APIs that enhance collaboration, improve quality, and dramatically accelerate development timelines. Attendees will leave with actionable insights on integrating mocking into their API design lifecycle, fostering innovation and speed without compromising reliability.
Presented at APIConf 2025
Traditional API linting tools like Spectral, have helped teams identify issues in their OpenAPI specifications by surfacing violations of style guides and best practices. But the current paradigm stops at diagnosis—developers are still left with the manual burden of interpreting warnings, resolving inconsistencies, and applying often repetitive best practice fixes.
This talk explores a transformative approach: using large language models (LLMs) fine-tuned on industry API standards to go beyond pointing out what’s wrong—to actively fixing it. Imagine replacing “Here’s a list of errors” with “Here’s your new spec, clean, compliant, and ready to ship.” By shifting from rule-checking to rule-enforcing via intelligent automation, teams can significantly reduce friction in their design workflows, improve standardization, and cut review cycles.
Presented at Dev2Next 2025