Hunter vs. Farmer: Separation of Duties in Agentic AI
As enterprise technology matures, we are witnessing a fundamental shift from static automation to Agentic AI driven dynamic ecosystems. The […]
AIML, DevOps, Technical, Technology
Business Continuity, DevOps, Technical, Technology
Disaster Recovery is a Journey, Not an End Goal
Disaster recovery has evolved from hardware-focused infrastructure to agile, cloud-driven strategies. Continuous Improvements and aligning with business resilience ensures organizations adapt and thrive amid changing threats.
Visualizing Flows with Sankey Traces
Sankey diagrams effectively visualize data flows, with Plotly offering interactive features superior to Matplotlib for creating insightful diagrams.
AIML, Learning, Misc
My Agentblazer Journey on Salesforce Trailhead
Continuous learning has always been at the heart of my professional growth. Over the past few years, I’ve been steadily
Brain Dump, CI/CD, DevOps
Build Engineering to CI/CD and Developer Enablement
Managing a robust CI/CD pipeline at scale is a complex task. Today, CI/CD represents just one piece of the larger developer enablement ecosystem.
AIML, Technical
Large Action Models (LAMs) power the new wave of autonomous AI
The focus of AI is shifting from conversation capable autonomous agents to action capable autonomous agents powered by Large Action Models (LAMs).
Running in Rain
What precautions do we take while running in rain? I take an attempt at summarising my preparedness for running in rain
AIML, Technical
K-Fold Cross Validation with multiple values of K
K-fold cross validation is a popular statistical technique that makes use of all samples for training as well as testing.
Fitness, Fitness Training, Running
My Focus Shift Towards Structured Training: A Look-back
This is third consecutive year in which I am seriously participating in a 100 days of running challenge. As of 25th day of this edition of 100 days, I am retrospecting on the shift so far