Santhosh Vijayabaskar

CORE

Director, Intelligent Automation, AI & Process Excellence at Fidelity Investments

Mason, US

Joined Sep 2024

https://santhoshvijayabaskar.com/

About

Santhosh Vijayabaskar is a global thought leader, speaker, and author in technology, specializing in digital transformation and innovation. He brings deep expertise in Intelligent Automation, AI/ML, and Process Excellence, working with Fortune 500 companies to enhance efficiency, scale solutions, and empower teams to thrive in a digital-first world. As the author of Process Coach Playbook, he provides practical strategies for leaders and practitioners to accelerate digital transformation, implement business process automation, and drive sustained innovation and growth. His expertise in Robotic Process Automation (RPA) and low-code/no-code solutions has made him a sought-after thought leader in the field. Through his books, speaking engagements, and mentorship, Santhosh inspires the next generation of problem solvers and leaders. When not writing or speaking, Santhosh engages in mentoring aspiring professionals and contributing to thought leadership forums, pushing the boundaries of innovation in the digital age.

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Reputation:	703
Pageviews:	36.5K
Articles:	8
Comments:	4

Articles
Comments

Articles

Is Anyone There? Listening to Your Users Through Conversational AI Observability

Your AI chatbot is failing in ways traditional analytics can't see. This leaves you, the Product Manager, guessing what to fix based on vague user complaints.

September 25, 2025

· 1,761 Views

Generative AI Agents: Transforming Supply Chain Management

LLMs are transforming supply chain management through orchestrated specialized agents that enhance forecasting, planning, and decision-making.

March 10, 2025

· 4,194 Views

Automated Bug Fixing: From Templates to AI Agents

Automated bug fixing has evolved from simple template-based approaches to sophisticated AI systems powered by LLMs, agents, agentless, and RAG paradigms.

March 4, 2025

· 3,986 Views

Unlocking Local AI: Build RAG Apps Without Cloud or API Keys

In this tutorial, we will use Chipper, an open-source framework that simplifies building local RAG applications without cloud dependencies or API keys.

February 14, 2025

· 6,156 Views · 3 Likes

The Importance of Kubernetes in MLOps and Its Influence on Modern Businesses

The most critical challenges in MLOps involve constructing scalable and flexible infrastructure, to which Kubernetes is an efficient solution.

December 31, 2024

· 5,597 Views · 1 Like

Supercharge Your Coding Workflow With Ollama, LangChain, and RAG

Learn how to build a retrieval-augmented generation (RAG) code assistant using Ollama and LangChain to optimize your coding workflow.

December 30, 2024

· 7,178 Views · 6 Likes

Building Intelligent Multi-Agent Systems With OpenAI’s Swarm

In this tutorial, we’ll use OpenAI’s Swarm to build a Smart Travel Concierge with collaborative AI agents. Learn the basics of agentic AI in this guide.

November 19, 2024

· 4,922 Views · 8 Likes

Open-Source AI Tools for More Efficient Development

Explore the best free and open-source AI tools to supercharge your development workflow from code generation and bug detection to machine learning integration.

November 11, 2024

· 4,460 Views · 5 Likes

Comments

Build a Stateless Microservice With GitHub Copilot in VSCode

Feb 10, 2025 · Sibasis Padhi

Thank you, Sibasis for sharing this 101 tutorial on building stateless micro services!

Supercharge Your Coding Workflow With Ollama, LangChain, and RAG

Jan 09, 2025 · Santhosh Vijayabaskar

Thank you, Sibasis! I’m glad you found the insights and hands-on valuable. It’s an exciting area with immense potential to enhance productivity and streamline our dev workflows. If you have any questions or want to explore specific aspects further, feel free to share!

Programming Language With No Syntax?

Dec 31, 2024 · Peter Verhas

Joel, thanks for bringing up Rebol! It's fascinating to see how languages like Rebol have explored minimalistic syntax while focusing on concepts like 'words' and 'blocks.' Rebol's influence on projects like JSON and the Red programming language is indeed noteworthy.

Building Intelligent Multi-Agent Systems With OpenAI’s Swarm

Dec 30, 2024 · Santhosh Vijayabaskar

Thank you for the kind words and thoughtful question! Using variables is one approach, but the key lies in designing a robust coordination mechanism. Context and coherence are often maintained through shared states or context variables, enabling agents to pass critical information seamlessly. However, depending on the system's complexity, layering this with task prioritization strategies or reinforcement learning can further optimize performance.