Fuzlullah Syed's Work | ContraWork by Fuzlullah Syed
Fuzlullah Syed

Fuzlullah Syed

Founder at Sovnode AI

Cover image for Original Blender product study: planter
Original Blender product study: planter and stand This self-directed sample shows a simple rigid product model, materials and five inspection views. The checked model is 280 × 280 × 310 mm. Checks covered texture files, dimensions and FBX/GLB export and reimport results. Built and reviewed with AI-assisted Blender/Python tools. The wood is a simple procedural treatment; this sample demonstrates asset preparation and file checks. See the study: https://sovnode-planter-study.sammsamy.chatgpt.site Sovnode AI is available for a paid pilot on one simple product prop or existing mesh cleanup. Send a brief description and the format your team needs, and we can agree the scope, price and file-handling requirements before work.
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Cover image for CSV converter: verification companion
CSV converter: verification companion
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Cover image for ELADMIN modernization: verification case study

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ELADMIN modernization: verification case study A companion to the ELADMIN project already on my profile, focused on its verification work. This is a self-directed, AI-assisted open source project. The Java 21 workflow runs the full Maven verification lifecycle with Testcontainers. It checks for 219 tests across 43 reports, with zero failures, errors or skipped tests. A separate check compares 139 endpoint signatures against a recorded upstream baseline. GitHub reports success for these checks in the September 1 run below, at commit 74b642d. These results describe that tested commit. Endpoint signatures do not establish complete behavioral parity, and this is not a production deployment benchmark. The source, workflow and dated run make the verification inspectable: https://github.com/SovNodeAI/eladmin-modernized/actions/runs/33566817948 This and the main ELADMIN portfolio entry describe different parts of the same project.
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Cover image for CSV to JSON cleanup with
CSV to JSON cleanup with Python This public example preserves customer IDs such as 00017 as text, trims names and cities, and handles quoted commas and Unicode. Invalid input is rejected before an output file is created, and existing output files are never overwritten. The source, fictional sample data, command-line tests and run instructions are available here. It is a self-directed demonstration developed and reviewed with AI assistance. https://github.com/SovNodeAI/csv-json-cleanup-example
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