Lucky Kadam is a software engineer with 9 years of experience building production-grade systems across payments, logistics, and fraud detection, currently contributing to Google Pay in Bengaluru. He blends backend and full‑stack expertise with practical ML experience—productionizing fraud models and building investigative dashboards at PhonePe. At Dunzo he led a small team to deliver a graph-based orchestrator and order-workflow services, and earlier work includes ML prototyping for network intrusion detection. A curious, multidimensional thinker who tinkers with AI and art, he also develops creative tooling—authoring a Blender add-on for procedural building generation using the Blender API. This combination of product-focused engineering, hands-on ML, and open-source experimentation makes him adept at turning researchy ideas into reliable, user-facing features.
9 years of coding experience
4 years of employment as a software developer
CBSE 12th, 93.4 %, CBSE 12th, 93.4 % at Rashtriya Military School, Chail (Shimla Hills)
Bachelor of Technology (B.Tech.), Computer Engineering, 7.82, Bachelor of Technology (B.Tech.), Computer Engineering, 7.82 at Indian Institute of Technology (Banaras Hindu University), Varanasi
Contributions:121 commits, 21 PRs, 19 pushes in 11 months
Contributions summary:Lucky primarily contributed to the development of a Blender add-on for building generation, focusing on the core functionality and UI elements. They implemented features for creating floors and other building components using Python and the Blender API, including features like adding slabs, controlling step size and depth, and creating railings. The user also refactored the code to use local instead of global coordinates and added the fill feature for architectural structures such as doors and windows.
Contributions:8 releases, 71 commits, 2 PRs in 1 year 9 months
b3danimationblenderstripscamera
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