RSSAmplifier

Blog

Ramblings of a Data Guy

Welcome to Dipankan's space. I am by profession a Data Engineer - whatever that is in today's corporate parlance - but love solving problems of all sizes wit...

tech.idipankan.comRSS feed ↗10 posts

Latest posts

Investigating IDOR vulnerabilities in a BSE-listed company

A publicly listed entity in India leaks its business invoice data at will. Deep-dive into the issue and how to stop such leakages.

Zero to Agentic Data: A Guide to Snowflake Intelligence

Observations on Snowflake's Agentic capabilities to fit enterprise use cases, and testing it on a niche dataset.

A Journey Towards Minimalism

I migrated my website out of a shared WordPress hosting to Azure & Bearblog. This blog recounts the journey, the considerations, the migration efforts and finally - the relief!

Introducing ClAI: A Cross-Platform, Multi-Cloud CLI utility

One-stop AI-powered multi-cloud CLI solution to administer Azure/AWS/GCP.

ExSQL: Open-source AI-powered SQL on native Excel files

Hassle free SQL execution on Excel, now made possible.

Nowcast 2.0: Accessible IMD Doppler Radar Analysis for everyone

Analysing IMD Doppler Radar with GPT Vision Models for enhanced interpretation and local forecasting.

Real Time Data Quality: Architecting for Instant Trust

Data Quality is an evergreen subject that finds its place in most corporate proposals. While businesses regularly evaluate opportunities to optimize revenue leakages within their different lines, they forget that the Cost of Poor Data Quality (CoPDQ) is often an invisible Damocles' Sword, and pivotal decisions based on incorrect data can even lead to bankruptcy. How then, do companies address Data…

Auto Reply 2.0: Architecting Intent-Aware Email Systems That Decide, Retrieve and Respond

An auto-responding email agentic AI, deployed serverless on Azure.

MCP-Based Deadline Resolution for Maersk Vessels

Model Context Protocol (MCP) is all the rage now, and deservedly so. It has revolutionized the way that Large Language Models (LLMs) can interact with their surroundings and environment. The idea itself is pretty cool- a user describes their need, while the MCP server intelligently figures out the application of pre-defined "tools" to magically solve the problem and get back results that make…

The Similarity of Sound: Spotify Recommendations with Feature Geometry

In the entertainment & streaming industry today, particularly with OTT and audio streaming platforms, content recommendation engines have become pivotal to their adoption. With time, these engines have evolved to become much more sophisticated by leveraging multiple data points about the users (some feature points are not even revealed as they render competitive advantage). However, the intent of…