Mandip Goswami

Summary

Experience

• Lead acoustic safety infrastructure for one of the world's largest built environments — hundreds of fulfillment centers and thousands of robots.
• Build large-scale acoustic simulation frameworks for warehouse environments.
• Deliver noise mitigation and acoustic optimization for conveyor and robotic systems.
• Develop ML models for industrial sound classification and diagnostics (MFCC, spectral features, DNNs).
• Create psychoacoustic models for worker-centric acoustic design and internal sound-mapping tools.

• Developed proprietary sound-mapping software fusing acoustic measurement with 3D spatial analysis across fulfillment-center deployments.
• Built predictive acoustic models for scalable noise forecasting of new facility designs, cutting design iteration and physical prototyping cost.
• Applied audio-classification pipelines (MFCCs, CNNs, deep learning) for multi-source acoustic event detection in high-noise environments.
• Engineered psychoacoustic noise-mitigation algorithms aligned with OSHA and auditory-health standards.

• Early contributor to Amazon's acoustics function and first full-time acoustician in the WW Design & Engineering org.
• Built core acoustic measurement and analysis infrastructure from the ground up.

• Established measurement, analysis, and acoustic design practices across worldwide facilities.

• Wind-noise testing via subjective road evaluation and objective wind-tunnel evaluation.
• Developed vehicle prototypes for aeroacoustic evaluation and improved cabin speech intelligibility.
• Improved acoustic packaging for sound absorption and transmission loss; collaborated with CFD/Aero on cabin aeroacoustics.

• Developed NVH barriers/absorbers, injection-molded plastic trims, and extrusion-molded rubber parts.
• Studied performance, weight, and cost tradeoffs of NVH material composites.

Selected Publications & Datasets