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I am Adam Dean Gonzalez Sr., a Senior ML/Gen AI Engineer with over a decade of hands-on experience building and deploying machine learning models across finance, healthcare, marketing, and transportation. I specialize in Generative AI, LLMs, RAG, fine-tuning and prompt engineering, and I work across cloud platforms (AWS, Azure, GCP) to design robust AI systems. My strengths include NLP/NLU/NER, ML Ops, and deploying AI agents and chatbots at enterprise scale, always focusing on accuracy, efficiency, and seamless user experience.…I am Adam Dean Gonzalez Sr., a Senior ML/Gen AI Engineer with over a decade of hands-on experience building and deploying machine learning models across finance, healthcare, marketing, and transportation. I specialize in Generative AI, LLMs, RAG, fine-tuning and prompt engineering, and I work across cloud platforms (AWS, Azure, GCP) to design robust AI systems. My strengths include NLP/NLU/NER, ML Ops, and deploying AI agents and chatbots at enterprise scale, always focusing on accuracy, efficiency, and seamless user experience.

Adam Dean Gonzalez Sr.

AI Engineer, Data Scientist, Developer, +2

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I am Adam Dean Gonzalez Sr., a Senior ML/Gen AI Engineer with over a decade of hands-on experience building and deploying machine learning models across finance, healthcare, marketing, and transportation. I specialize in Generative AI, LLMs, RAG, fine-tuning and prompt engineering, and I work across cloud platforms (AWS, Azure, GCP) to design robust AI systems. My strengths include NLP/NLU/NER, ML Ops, and deploying AI agents and chatbots at enterprise scale, always focusing on accuracy, efficiency, and seamless user experience.…I am Adam Dean Gonzalez Sr., a Senior ML/Gen AI Engineer with over a decade of hands-on experience building and deploying machine learning models across finance, healthcare, marketing, and transportation. I specialize in Generative AI, LLMs, RAG, fine-tuning and prompt engineering, and I work across cloud platforms (AWS, Azure, GCP) to design robust AI systems. My strengths include NLP/NLU/NER, ML Ops, and deploying AI agents and chatbots at enterprise scale, always focusing on accuracy, efficiency, and seamless user experience.

Available to hire

I am Adam Dean Gonzalez Sr., a Senior ML/Gen AI Engineer with over a decade of hands-on experience building and deploying machine learning models across finance, healthcare, marketing, and transportation.
I specialize in Generative AI, LLMs, RAG, fine-tuning and prompt engineering, and I work across cloud platforms (AWS, Azure, GCP) to design robust AI systems. My strengths include NLP/NLU/NER, ML Ops, and deploying AI agents and chatbots at enterprise scale, always focusing on accuracy, efficiency, and seamless user experience.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Generative AI Engineer at Google

September 1, 2022 - March 1, 2025

Designed and developed a robust AI Agent using Generative AI and LLMs; created custom datasets with self-instruct and prompt engineering; fine-tuned LLMs; built enterprise-grade RAG pipeline using vector stores and a graph database (Neo4j); explored NLP, NLU, NER; integrated with RASA for contextual chatbots; leveraged Azure Databricks and Azure AI services; utilized Azure OpenAI for advanced NLP tasks; implemented Lex and dialog flows; optimized inference speed with Azure GPU acceleration, TensorRT, and Nvidia GPU Cloud, achieving ~20% latency reduction; integrated the LLM into an enterprise chatbot platform to improve engagement.

Sr. Data Scientist - ML/NLP Specialist at Nike, Inc

February 1, 2019 - August 1, 2022

Led ML lifecycle on AWS to optimize supply chain, reducing inventory costs; implemented AI-powered personalization with Amazon Personalize; analyzed customer feedback using Amazon Comprehend and Lex; applied computer vision for quality control with Lookout for Vision and DeepLens; built DL models on EC2 P3 instances; implemented ML Ops with SageMaker Pipelines and Step Functions; conducted A/B testing with Augmented AI; created data visualizations with QuickSight; mentored junior data scientists; built data preprocessing and feature pipelines with Glue and Lambda; used S3 and Redshift for scalable storage and warehousing.

ML/Data Engineer at Urbint

September 1, 2015 - February 1, 2019

Developed a recommendation system for an e-commerce client using collaborative filtering, matrix factorization, and content-based filtering; improved performance via data preprocessing, feature engineering, and model selection. In healthcare, built AI-powered medical imaging analysis (YOLOv3, Faster R-CNN); contributed to drug discovery models and a personalized medicine platform; performed social media sentiment analysis; developed environmental monitoring models and studied conservation effects.

Machine Learning Intern at Amazon

May 1, 2014 - July 1, 2015

Contributed to Amazon Alexa, focusing on NLU, NLP, ML, speech recognition, and deep learning; collaborated with cross-functional teams to develop and deploy ML features for Alexa, including voice recognition and personalized recommendations.

Education

Bachelor's Degree in Computer Science and Mathematics at University of Texas at Austin

January 1, 2009 - January 1, 2013

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Healthcare, Financial Services, Manufacturing, Media & Entertainment, Transportation & Logistics, Retail, Education, Professional Services