Mayur Reddy

3D Foundation Models · AI Platform Architecture · Product Integration

• Drive platform architecture for generative 3D and foundation-model workflows, defining shared representations and integration contracts that connect model pipelines with downstream design products.
• Design and ship model-to-product workflows that turn generated 3D outputs into validated, product-compatible data for interactive design applications.
• Define backend and data architecture across ML research, platform, and product teams: versioned artifacts, validation, provenance, failure recovery, and scalable handoff.

3D Foundation Models · ML Infrastructure · Distributed Data Systems

• Built and operated petabyte-scale 3D data pipelines that transformed complex product data into training- and evaluation-ready datasets for foundation-model research, large-scale ML experimentation, and downstream processing on AWS.
• Developed a reusable Ray-based distributed processing framework for heterogeneous 3D workloads, isolating parser failures, bounding concurrency, checkpointing completed work, and producing durable outputs for recoverable large-scale processing.
• Built dataset cataloging, lineage, and provenance infrastructure tracing source assets through transformations and ML derivatives, improving reproducibility, dataset discovery, and experimental traceability.
• Built browser-based 3D streaming and inspection infrastructure for large models, enabling labeling, evaluation, and ML inspection workflows without requiring clients to download complete source datasets.

SDK Development · Data Structures · Validation · Performance Engineering

• Developed a benchmark and validation system for a proprietary data structure library used across Autodesk SDKs supporting Civil 3D, Revit, Fusion 360, and Maya.
• Designed cross-language validation utilities for C++ and TypeScript implementations, enabling systematic comparison of library behavior, defect identification, and performance debugging with library developers.

Backend Systems · API Design · Event-Driven Systems

• Designed and developed Java/Vert.x backend services and APIs for cloud infrastructure and consumer profile management using asynchronous, event-driven architectures.
• Tested, debugged, and optimized asynchronous application workflows while collaborating on service architecture and API design.