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Martin Chavez User

@martinchavezuser1

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Experienced AI/ML Engineer with a focus on scalable solutions.

United States

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my AI/ML expertise to solve complex problems and contribute to impactful projects.

I am an AI/ML Engineer with over 8 years of experience in building scalable machine learning solutions across various industries, including healthcare, finance, e-commerce, and logistics. My expertise lies in Python, TensorFlow, PyTorch, and Scikit-learn, where I have developed high-performing ML pipelines on platforms such as AWS SageMaker, GCP AI, and Azure ML. I excel in model development, feature engineering, and production deployment, translating complex business needs into actionable insights.

Throughout my career, I have achieved significant milestones, such as boosting enterprise automation accuracy by 30% through predictive analytics solutions and reducing manual review workloads by 40% with NLP models. I am passionate about contributing to open-source AI tools and frequently share my knowledge as a speaker at ML meetups. My strong foundation in statistics and deep learning, combined with my collaborative approach, allows me to work effectively within teams to drive innovation and success.

Experience

Work history, roles, and key accomplishments

Principal ML Engineer

TechHolding

Jun 2022 - Present (3 years 1 month)

Developed predictive analytics solutions in Azure ML Studio and PyTorch, boosting enterprise automation accuracy by 30%. Architected NLP models for sentiment analysis and document classification using BERT, reducing manual review workloads by 40%.

PyTorch NLP BERT A B Testing Azure Functions API Management MLOps CI CD

Senior Machine Learning

Conquerors Software Technologies

May 2020 - Present (5 years 2 months)

Created fraud detection models for AWS billing systems using gradient boosting and deep neural nets, reducing false positives by 40%. Deployed models via SageMaker endpoints, orchestrated with Lambda and API Gateway for low-latency inference (<100ms).

AWS Sagemaker Lambda API Gateway Spark EMR Redshift Kafka Flink Gradient Boosting

ML Engineer

Chestnut Hill Technologies

Mar 2019 - Present (6 years 4 months)

Designed and deployed large-scale recommendation systems for Google Search and YouTube, increasing click-through rates by 18%. Built deep learning pipelines on TPU with TensorFlow, improving model training speed by 3x and content relevance by 22%.

TensorFlow SHAP LIME Kubeflow gRPC Recommendation Systems Deep Learning Hyperparameter Tuning

Data Analyst

Astrosoft Technologies

Jul 2017 - Present (8 years)

Assisted in developing chatbot flows using IBM Watson Assistant and NLU to streamline common queries. Supported the creation of classification and clustering models for healthcare data, contributing to better patient risk categorization.