Digital engineering lab · ujjwaltiwari.com
Welcome to my digital engineering lab—a live space where I test AI and agentic systems, multi-cloud strategies, and share technical notes as I learn in public. I document what I build along the way, and I'm glad to talk shop with practitioners or mentor builders when time allows.
I use this platform to test boundaries—migrating legacy Blogger content into a modern stack, prototyping agent workflows, and sharing educational write-ups on Marketing Cloud, GEO / LLM discovery, and open-source orchestration. My background spans very different businesses—from a small counselling practice to large banks and telecom—across geographies and roles that kept evolving. If you want to compare notes on an experiment or lab write-up, you are in the right place.
Live experiments
Real builds that stress-test modern web performance and Salesforce operational patterns—not slide decks.
A working prototype focused on simplifying, optimizing, and visualizing Salesforce Marketing Cloud Data Views—demonstrating how technical marketers can move faster with clearer query insight and a web experience tuned for speed.
Open the experiment on dataviews.proAgentforce, CrewAI, and n8n are active research threads—exploring how agentic systems can be composed responsibly, with the messy parts documented on the blog when a run teaches something useful.
View the projects hub →Lab notes
Educational articles from the Marketing Automation Log—shared so others can learn from real SFMC and architecture experiments.
SFMC data views were never my strong suit. A Udemy course introduced me to Cursor—and led to DataViews.pro, a free interactive reference and SQL workspace for Marketing Cloud.
A deep dive into building a hierarchical multi-agent marketing team with CrewAI and integrating it safely with the Facebook Meta Graph API.
An architectural case study on leveraging Salesforce Flow and Agentforce to build a highly predictable, end-to-end autonomous transactional system.