All Posts

May 12, 2026

MCP Agents for ML Experiment Automation: A Practical Pattern

How to use Model Context Protocol (MCP) agents to automate ML experiment workflows across Databricks, GitHub, and Grafana — turning repetitive experiment cycles into a single prompt.

MCP Agents for ML Experiment Automation: A Practical Pattern

May 10, 2026

Building Idempotent Feature Pipelines in Databricks

A practical pattern for snapshot-based, idempotent feature pipelines in Databricks — how to structure Delta tables so reruns never corrupt your training data.

Building Idempotent Feature Pipelines in Databricks

May 24, 2025

Benchmarking the Death Star: A Deep Dive into Microservices Performance

An inside look at our course project where we deployed, benchmarked, and monitored a complex microservices application on Docker Swarm and Kubernetes to understand real-world performance trade-offs.

Benchmarking the Death Star: A Deep Dive into Microservices Performance

May 23, 2025

Classifying Mental Health in Memes: A Multimodal Approach

A deep dive into our NLP course project where we used Vision-Language Models to classify signs of anxiety and depression in internet memes, blending humor with serious analysis.

Classifying Mental Health in Memes: A Multimodal Approach

May 22, 2025

From Chaos to Centralized: The Story of Drive Material LDRP

How a simple hobby project to organize scattered class notes became an essential tool for thousands of students, achieving over 3,000 visits in its first week and a top Google ranking.

From Chaos to Centralized: The Story of Drive Material LDRP

May 21, 2025

Build Process: Advanced ANPR & Face Recognition for KAVACH-23

A behind-the-scenes look at our national finalist project for the KAVACH-23 Cybersecurity Hackathon, covering data collection with local police, developing a high-accuracy YOLOv8 model, and building a cross-platform mobile app.

Build Process: Advanced ANPR & Face Recognition for KAVACH-23

May 20, 2025

Build Process: Student Dropout Analysis

A detailed breakdown of our award-winning project at the SSIP-22 State Level Hackathon, from data collection and dashboarding to predictive modeling and an IEEE publication.

Build Process: Student Dropout Analysis