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Inmon John

@inmonjohn

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Senior software engineer specializing in machine learning and AI solutions.

United States

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What I'm looking for

I am seeking a role that fosters innovation and collaboration, with opportunities for growth in machine learning and AI development.

With over 10 years of experience in software engineering, I have dedicated my career to developing and optimizing advanced machine learning algorithms and models for real-world applications. My expertise lies in data engineering, model tuning, and large-scale distributed training, enabling me to deliver high-performance solutions that drive impactful results across diverse industries.

At Intuit, I spearheaded the development of a recommendation system that significantly reduced model training time, and I engineered Retrieval-Augmented Generation pipelines to enhance search performance. My passion for solving complex problems through cutting-edge AI techniques has led to the successful implementation of cloud-based machine learning workspaces, improving scalability and experimentation capabilities. I thrive on challenges and am committed to leveraging my skills to create innovative solutions that meet the evolving needs of businesses.

Experience

Work history, roles, and key accomplishments

Senior Software Engineer

Intuit

Sep 2022 - Jan 2025 (2 years 4 months)

Developed a recommendation system using TensorFlow and Kubernetes, reducing model training time. Engineered RAG pipelines for fine-tuning large language models, and implemented Unity Catalog in Databricks for data governance. Championed cloud-based ML workspaces with AWS SageMaker, enhancing scalability and experimentation.

TensorFlow Kubernetes Databricks AWS Sagemaker Terraform XGBoost Dask Apache Airflow Prometheus

Senior Software Engineer

AgileEngine

Jan 2019 - Sep 2022 (3 years 8 months)

Fine-tuned large distributed workloads on GPU clusters using PyTorch and TensorFlow. Developed custom NLP pipelines with Python and spaCy, improving user satisfaction. Researched state-of-the-art NLP models on GCP and implemented predictive models for patient readmission risks.

PyTorch TensorFlow Docker Kubernetes Python SpaCy Matplotlib

Software Engineer

Cvent

Apr 2016 - Jan 2019 (2 years 9 months)

Optimized large-scale AI/ML models in collaboration with the AI Research team. Created predictive models using Random Forest and Keras, and implemented automated tests with PyTest, significantly improving code quality and deployment cycles.

Random Forest Keras Pytest MongoDB VADER TextBlob Transformers

Software Engineer

Kanda Software

Nov 2012 - Apr 2016 (3 years 5 months)

Visualized data using Tableau and Power BI, providing insights for business decisions. Processed complex data sets with Hadoop and integrated machine learning into workflows, reducing production downtime and improving KPI tracking.