[01] — WHO
I BUILD AT THE
APPLICATION LAYER OF AI.
By day I'm an AI engineer working at the application layer: RAG pipelines, LLM integrations, and the unglamorous plumbing that makes models actually useful in production. It's been the same obsession my whole career — first shipping ML for enterprise pharma clients as a consultant, now building applied AI in-house at global scale.
By night I ship my own things. Maidwise — an iOS app that handles attendance and payroll for household staff — was built solo in SwiftUI, from first screen to App Store. On YouTube I make videos about coding, building, and developer life in the AI era — anchored right now by the upcoming AI Engineering Roadmap, a 12-chapter series for software engineers making the jump.
ORIGINALLY FROM INDORE · NOW IN PUNE · USUALLY BUILDING SOMETHING
PUNE, IN
[02] — WORK
SELECTED BUILDS
MAIDWISE
2026 · IOS APP · SWIFTUI
Attendance and payroll for household staff. Mark days, auto-calculate salaries, and settle up — no spreadsheets, no mental math.
VISITBEHUMOURY
2026 · YOUTUBE · AI ENGINEERING
Videos about coding, AI, and being a developer in the AI era. Building a community of developers navigating the AI era together where the AI Engineering Roadmap plays out on screen
VISITAI ENGINEERING ROADMAP
2026 · ROADMAP · AI ENGINEERING
Twelve chapters across five blocks — LLMs, RAG, agents, safety, production, and Harness Engineering, the discipline of making models behave. The full curriculum in text, readable start to finish without waiting for a video.
VISIT