Ahsan Lodhi is a versatile software engineer with eight years of experience building backend systems, synthetic data pipelines, and ML tooling across industries from aerospace to fintech, currently at Apple in London. He combines strong practical skills in Golang, Ruby on Rails, gRPC and DevOps with hands-on research work creating photorealistic synthetic training data (notably improving instance and class segmentation in the BlenderProc pipeline). As a former technical lead and scrum master, he’s shipped production services, robot integrations and data engineering pipelines while bridging research and product delivery. Curious and methodical, he pairs statistical thinking from earlier data-science roles with pragmatic engineering to solve ambiguous problems. Outside work he’s equally likely to be writing code or looking up at the sky, reflecting a persistent drive to improve both professionally and personally.
8 years of coding experience
6 years of employment as a software developer
Masters Informatics, Computer Science, Masters Informatics, Computer Science at Technical University Munich
Bachelor’s Degree, Computer Science, 3.2 CGPA, Bachelor’s Degree, Computer Science, 3.2 CGPA at National University of Computer and Emerging Sciences
A procedural Blender pipeline for photorealistic training image generation
Role in this project:
Back-end Developer
Contributions:28 commits in 7 months
Contributions summary:Ahsan primarily focused on enhancing the segmentation capabilities within the BlenderProc pipeline. They implemented features such as segmentation by instance and class, which involved modifying the `SegMapRenderer.py` script and integrating a color picker. This work included adjusting material nodes and integrating a color palette for object segmentation. The user also refactored and bug fixed the code, improving the overall functionality and efficiency of the segmentation process.
Contributions:11 pushes, 1 branch in 1 year 1 month
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