Mountain 02

AI Learnings & Fluency

Artificial Intelligence is transitioning from a novel technical curiosity into an essential pillar of corporate productivity. Rather than looking at AI as a magic box, I have spent my tenure studying it as a precise, structured tool — understanding how to prompt it, its fundamental architectural boundaries, and how to empower others to use the tools as well.

My AI Learning Curve

A timeline of concepts, structures, and tools studied since launching my AI studies at the company:

Phase 1: Understanding the Basics of the machine & System Framing

Conversational chat.

Phase 2: Mechanics & Boundaries

Studied the strict mathematical reality of Large Language Models. Understood how context windows, token limits, and knowledge cutoffs impact inference. Developed critical strategies to mitigate hallucinations.

Phase 3: Agentic Workflows &

Explored the paradigm shift of "Agentic AI." Understood how autonomous loops (Plan, Research, Write, Execute, Verify) enable complex tasks. Experienced how human-in-the-loop alignment produces high-fidelity results.

e setups

Phase 4: Enablement & "AI Bits"

Harnessed my learnings to enable peers. Synthesized highly dense technical documents into lightweight talks titled "AI Bits" to foster company-wide literacy and reduce fear of automated tools.