Greg Coquillo

Product Leader @AWS | Startup Investor | 2X Linkedin Top Voice for AI, Data Science, Tech, and Innovation | Quantum Computing & Web 3.0 | I build software that scales AI/ML Network infrastructure

Product leader with a passion for solving business use cases such as Growth, Go-to-Market, and Price Optimization. I owned P&L for commodity-based products, and leveraged AI to increase the average customer contract values across business industries. As a Product Leader at Amazon, I own a roadmap that drives the adoption of AI products through the Media Automation charter, which supports Private Brands’ YOY growth. I work with Data Scientists, Software Engineers and Business Intelligence Engineers to leverage Machine Learning and Big Data Analytics to design predictive models that enhance business decision-making and performance to accelerate growth, reduce Time to Market of products, monitor cross-geo compliance and import requirements, and ensure customer safety.

I am always curious and eager to learn how new technology affects our daily lives, and I love to support communities on their quest to adopt Artificial Intelligence across industries. Feel free to contact me if you have Data Science projects that you’d like to be showcased on this platform for visibility.

🌐I am a Global Business Leader with 12 years of experience and skills including Product Management, P&L management, Global Networking, EBITDA Optimization, Pricing Management, Margin Management, Product Management, Program Management, Operations and Supply Chain Management, Lean Manufacturing, Six Sigma, and Continuous Improvement.

🧘🏽‍♂️Soft Skills include: Communication, Collaboration, Lateral Thinking, Adaptability, Inspiration, Innovation, Empathy, Listening, Diplomacy, Organization, Responsibility, Leadership...

🎬🎥🎞 I really enjoy watching movies, and if I could redo it all over, I’d be a Sci-Fi script writer so I can be bounded by the limits of imagination.

(Opinions are my own)

Product Management, Media Automation

Owner of the AI vision and roadmap for Private Brand’s Compliance Division. Driving adoption of new technology, allowing my customers to scale their processes and increase productivity. Core responsibilities include:

-Building cross-functional teams consisting of Data Scientists, Software Engineers, Data Engineers, Product Managers and Program Managers, to plan and implement sophisticated AI projects
-Manage the New Initiative Intake Process
-Gather Business requirement artifacts
-Communicate roadmap definition and prioritization
-Coordinate User Acceptance Testing
-Manage Launch Announcements
-Prepare and communicate annual planning artifacts

Building Agentic AI systems beyond connecting APIs or LLMs is complicated, but not impossible.

This architecture lays the foundation for how AI agents think, communicate, and improve, covering everything from testing and observability to deployment and memory management.

Here’s a breakdown of the key layers and components that make up a scalable Agentic AI Architecture :

1.🔸Decomposition
Break down complex systems by domain (e.g., Coding Agent, Data Agent), by cognitive capability (Reasoning, Planning, Execution), or by agent role (Planner, Executor, Memory Manager, Communicator).

2.🔸Communication
Enable message passing between agents using inter-agent protocols or A2A (Agent-to-Agent) orchestration.
Support both single-agent and multi-agent setups for small or distributed workflows.

3.🔸Deployment
Deploy agents in containerized or serverless environments using Docker or Modal.
Support orchestrators like CrewAI or AutoGen for collective intelligence in multi-agent workflows.

4.🔸Data & Discovery
Integrate knowledge bases (like vector databases for RAG), memory stores (FAISS, Redis, Pinecone), and APIs for dynamic data access.
Context is passed using Model Context Protocol (MCP) for structured and real-time reasoning.

5.🔸Testing & Observability
Validate workflows end-to-end, test reasoning logic, and evaluate performance under real conditions.
Monitor using Weights & Biases, LangFuse, and track metrics like latency and task success rate.

6.🔸UI & Style
Provide intuitive feedback loops through visualization layers, dashboards, and self-reflective modes.
Enable collaborative, proactive, and goal-driven reasoning among multiple agents.

7.🔸Security
Protect access with token-based authorization and data encryption.
Include Trust Layers for human-in-the-loop validation and Policy Enforcement for safe execution.

8.🔸Cross-Cutting Concerns
Handle configuration, secrets, and environment management.
Support flexible frameworks like LangChain, AutoGen, or CrewAI for runtime execution and modular design.

Agentic AI is the future of automation - where AI doesn’t just assist but collaborates and learns.

Save this post to understand the architecture that powers the next generation of AI systems

#AgenticAI

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AI agents are great at working alone. However, they can also be effective when operating within networks of collaboration.

The real power of AI lies in how these agents communicate, coordinate, and complement each other’s abilities.

Orchestration patterns define this collaboration which turns isolated agents into intelligent, goal-driven systems capable of solving complex tasks together.

Here are 6 orchestration patterns that power the next generation of AI systems :

1.🔸Sequential Orchestration
Agents work one after another - each passing its result to the next.
Perfect for structured, step-by-step tasks like data pipelines or analysis chains.

2.🔸Concurrent Orchestration
Multiple agents work in parallel, handling different parts of a problem simultaneously.
This boosts speed, scalability, and overall task efficiency.

3.🔸Group Chat Orchestration
Agents communicate in a shared conversation, refining ideas together.
Useful for brainstorming, collaborative decision-making, or generating consensus.

4.🔸Maker–Checker Loops
One agent creates or proposes; another verifies, corrects, or approves.
Ideal for maintaining accuracy, compliance, and quality assurance in workflows.

5.🔸Handoff Orchestration
Agents transfer control dynamically based on context or expertise.
Best suited for adaptive workflows like support systems or multi-step automation.

6.🔸Magnet Orchestration
A central “manager” agent dynamically assigns tasks to the right specialists.
Enables fluid, context-aware collaboration across multiple intelligent agents.

AI Agents are evolving fast and orchestration is what makes them powerful.

Learning how these patterns can help you build smarter, more collaborative AI systems can be a huge advantage.

#AIAgent

AI Agent Orchestration Patterns

📚LLMs in the Enterprise are finally getting the playbook they deserve… LLMs in Enterprise by Ahmed Menshawy and Mahmoud Fahmy provides practical guides for building real AI systems that operate at scale.

Most teams talk about LLMs in theory. This book focuses on execution. It bridges foundational concepts with the hands-on design patterns that matter when you are integrating models into production environments.

Here are the insights that stood out👇

1.🔸Enterprise LLM integration is a data architecture problem
The book breaks down how to design pipelines, tune retrieval, and structure data so models operate with consistency and low latency in real workloads.

2.🔸Scaling LLMs requires pattern-level thinking
They go deep on architectural patterns that reduce complexity, improve efficiency, and streamline deployment. This includes RAG frameworks, fine-tuning strategies, segmentation techniques, and evaluation patterns that teams often overlook.

3.🔸Performance is not just about bigger models
The authors show how to optimize model behavior with advanced inferencing engines, contextual model customization, and monitoring systems that keep applications predictable.

4.🔸Real enterprise value comes from operational rigor
Security, fairness, transparency, and accountability are not afterthoughts. They are part of the design process, especially when LLMs touch business workflows and customer data.

5.🔸AI teams win by mastering both concepts and impact
The flow of the book reflects the real enterprise lifecycle: Concept → Customization → Impact
A clear, structured way to think about turning LLM capabilities into business outcomes.

If you are building production AI systems, leading an LLM program, or preparing for the next wave of enterprise adoption, you should definitely get a copy of this book.

Enterprise AI is evolving fast. Understanding these design patterns early puts at a career advantage which allows you to shape the next generation of intelligent applications.

#LLM

Agentic AI vs Traditional AI: The Shift from Supervision to Autonomy

For years, Traditional AI has been like a skilled worker. It has been efficient, but dependent on human supervision.

Agentic AI, however, takes a different approach. It is a decision-maker that thinks, plans, and adapts without constant direction.

Let’s dive into what truly separates them 👇

Agentic AI: Smarter. Adaptive. Independent.

- Dynamic Learning: Perceives its environment, plans actions, and evaluates outcomes continuously.

🔸Goal-Oriented Thinking: Sets goals, creates sub-goals, and adjusts strategies like a human problem solver.

🔸Reasoning & Reflection: Learns from mistakes, refines decisions, and improves performance over time.

🔸Collaborative Agents: Multiple agents share context, delegate tasks, and synchronize for collective intelligence.

Traditional AI: Powerful but Limited.

🔹Static Learning Models: Train once, deploy, and manually retrain, with no real-time adaptability.

🔹Human-Dependent Execution: Waits for prompts or tasks, performs inference, and stops.

🔹Narrow Focus: Optimized for specific use cases without flexibility.

🔹No Self-Improvement: Requires human supervision for updates and tuning.

In Short:

- Traditional AI executes.

- Agentic AI thinks, plans, and evolves.

It’s the difference between automation and autonomy, a shift that’s redefining how AI systems operate, learn, and collaborate in the real world.

What other diffenreces have you noticed?

#AI

IKI Group 

- Developing API Connectors to service client reporting and data visualization
- Managing data quality and maintenance of connectors and ETL processes
- Supporting the Dashboarding department in providing reporting and data visualization to clients(GCP/Looker Studio)
- ETL and Data Wrangling

Junior Data Analyst/Dashboarding

Foreworth

- Prepared and monitored social media content in line with inbound marketing strategies
- Drafting research, editing, and publishing for webpage and blog content
- Optimized blog content in line with SEO best practices
- Management, analysis, and optimization of content with Hubspot CRM and Google Search Console
- Supported the Sales, Product and Administrative Teams with English content for the Foreworth Platform
- Managing, reviewing and updating website copy
- Assisted Customer Success Team with English content and dashboard development (PowerBI)

Content and Communications Specialist

Japan Exchange and Teaching Program(me) (JET)

-Provided logistical support for native Japanese teachers of English through organized team teaching using varied EFL approaches.
- Consulted on curriculum reparation for English classes to improve speaking, reading, writing and listening skills to meet prefectural education standards for English language courses.
- Co-wrote, edited and coached student speeches for English speech and recitation competitions with significant improvements in emotional impact, narrative content, diction, pronunciation and delivery.
- Developed curriculum and created teaching materials for a new course of study in “Understanding Foreign Cultures”.
- Coordinated the first international video chat classes between Kanzaki Discovery High School and schools in the Philippines, Australia and Thailand.

Assistant Language Teacher (ESL)

NIHERST

- Prepared copy for publication in press, use on local radio and television.
- Handled bookings for press, local radio and television advertisements. 
- Prepared invoices from media service providers.  
- Writing, proofreading and assisting with the development of social media posts in support of organization events and public outreach programmes.
- Supported senior marketing personnel in research, conducting, editing and transcribing interviews with STEM professionals for N.I.H.E.R.S.T.'s "Icons" publication.
- Contributed to departmental record keeping in support of Senior staff using Microsoft Excel.

Marketing Assistant in Marketing and Communications

FV Advertising Ltd.

- Provided copy, line editing and proofreading for ad work in support of major client campaigns (Prestige Holdings Inc., the National Petroleum Marketing Company of Trinidad and Tobago, Ministry of Tourism of Trinidad and Tobago, Digicel Group of Trinidad and Tobago etc.).
- Supported senior Creative Department staff through proofreading, and copy editing of content for publication on social media, in press, local television and radio.
- Communicated in-house needs between senior staff in both Creative and Production departments
- Contributed to in-house record keeping, project development, model casting and content acquisition on high-value and high-impact projects.

Junior Copy Writer / Production Assistant

I'm here to make a real impact in the world of modern business by helping modern businesses take their software development from ordinary to extraordinary. With a keen focus on data-driven strategies, my goal is to empower tech leaders with the power of objective, automatic metrics to enrich their decision-making processes.

Alongside the amazing team at Foreworth, I’ve seen the value that objective, trustworthy metrics and the visibility they offer can have on software development for businesses – and I’m eager to help more leaders in tech see that value for themselves. 

My passion lies in helping people achieve and exceed their goals. I'm always on the lookout for fresh opportunities to bring real value to others and help them drive their businesses to new heights.

Equipped with a strong background in content marketing and communications, I’m most at home crafting engaging narratives, but my skill set goes beyond just words. I'm well-versed in data analytics and have a firm grip on popular business intelligence tools. From wrangling data with Python and SQL to building out accessible, intuitive dashboards and reports with Microsoft’s PowerBI's visual storytelling, to leveraging the dynamic capabilities of the AWS platform’s tools, I'm always looking for new skills and new ways to add value. 

No matter what role I’m in, I am always passionate about progress and learning. So, whether you want to chat about Data, Content Creation, or how we’re helping businesses shed light on their development operations to achieve better performance, let’s Connect!

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Greg Coquillo

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