Applied AI, Generative Systems, and Multi-Agent Reasoning at Scale.

Building Intelligent Agentic Systems for the Real World

Founder of DeepNeuro.dev. I design and ship agentic AI systems that combine LangChain orchestration, MCP tool integration, and RAG architectures with robust FastAPI backends and modern frontends. My work emphasizes reliability, observability, and scalability from prototype to production.

DeepNeuro.dev originated in healthcare AI, and I continue to draw on my neurobiology background. Today, I apply those foundations to broader applied AI problems across NLP, automation, analytics, and cloud-native applications—building multi-agent workflows, scalable RAG systems, and production-grade AI services.

Core Competencies

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Deep Learning

TensorFlow, PyTorch, Keras, Neural Networks, CNNs, RNNs

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Healthcare AI

Medical Imaging, DICOM, Bioinformatics, Clinical Data Analysis

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Computer Vision

Image Classification, Object Detection, Feature Engineering

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NLP & LLMs

Transformers, LangChain, RAG, Multi-Agent Workflows, MCP

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MLOps & Cloud

Docker, Render, Vercel, Google Cloud Run, CI/CD

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Data Science

pandas, NumPy, scikit-learn, Statistical Analysis, Visualization

Let's Build Something Amazing Together

I'm currently open to opportunities in applied AI/ML, agentic systems, and platform engineering roles.

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