Case Studies
2018 – 2024
Overview
Seven years. Six industries. One constant: systems thinking applied where technology meets human complexity.
These are the products, platforms, and frameworks I've unearthed from my work — from invisible banks to AI-native developer platforms. Each one is a lesson in what happens when you stop copying patterns and start questioning them.
2024
Developer platforms are products too. Built a 9-layer AI-native platform where agents handle code reviews, security scans, and compliance — so engineers ship faster without sacrificing quality.
Insurance
0→1
2022
Data problems are culture problems. Created the Data Trinity framework — availability, accessibility, literacy — to move a manufacturing giant from siloed spreadsheets to data-driven decisions.
Manufacturing
1→n
2021
Pitched a digital twin to compress drug discovery timelines using ML-driven cohort simulation. The vision landed. Data governance killed the funding. The ambition was right — the organization wasn't ready.
Pharmaceutical
0→1
2019
What if government worked like an API? Connected siloed agencies through AI agents and conversational interfaces — years before 'agentic' became a buzzword. Then COVID hit, and we pivoted overnight.
Government
0→1, 1→n, n→∞
2019
An airline becoming a super-app had millions of users but zero personalization data. Designed a 3-layer recommendation engine — from basic rules to reinforcement learning — solving the cold-start problem.
Aviation
n→∞
2018
Airlines were losing aircraft to preventable hard landings. Built a data platform combining real-time analytics, predictive maintenance, and an AI chatbot — turning scattered flight data into actionable intelligence.
Aviation
0→1, 1→n, n→∞
2018
Banks were losing to tech giants who understood their customers better. Designed an 'invisible bank' — one that lives inside daily routines, analyzing spending in real-time, anticipating needs before you feel them.
Banking
1→n, n→∞