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Neural Concept

Machine Learning Application Engineer

Neural Concept

New York, NY · May 2025 - Present

Lead technical consultant delivering AI solutions for Fortune 5/20 teams with 5-10x ROI

Machine Learning Deep Learning Physics-Informed AI MLOps Docker Azure RAG

Role Overview

Lead technical consultant for Fortune 5/20 teams, specializing in AI-driven engineering solutions with a focus on multiphysics prediction, large-scale optimization, and client-facing AI applications.

Key Achievements

  • Delivered 5–10x ROI as lead technical consultant for Fortune 5/20 teams, quadrupling licenses in one year
  • Qualified AI PoCs with clients, leading technical validation and impact-driven adoption
  • Deployed user-facing apps for Pareto-optimal design exploration, saving $200k+/year via model-driven decisions

Technical Contributions

Zero-Shot Hybrid Models

Developed zero-shot hybrid models for multiphysics prediction by integrating:

  • Physics-informed features
  • Deep learning architectures
  • Tabular ensembles
  • Achieved up to 99% accuracy in select out-of-distribution tasks

Large-Scale Training Optimization

  • Optimized training on 100 GB+ datasets
  • Reduced cloud-based training times by up to 80%

AI Integration & Deployment

  • Developed RAG-powered AI assistants and MCP AI agents for custom product integration
  • Containerized with Docker for scalable deployment
  • Designed for seamless Azure CI/CD integration

Leadership

Led technical execution and business strategy by translating ML insights into executive-ready narratives, bridging the gap between technical innovation and business value.