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I am a highly motivated and experienced machine learning engineer with over a decade of hands-on experience in building and deploying machine learning models. My expertise spans a wide range of machine learning techniques including NLP, speech recognition, deep learning, and generative AI such as large language models, retrieval-augmented generation, finetuning, and prompt engineering. I am proficient in Python and skilled with cloud platforms including AWS, GCP, and Microsoft Azure. Throughout my career, I've contributed to impactful projects across diverse sectors including finance, healthcare, marketing, and transportation. I enjoy leveraging the latest advancements in AI and machine learning to build robust, scalable solutions that improve business operations and user experiences. My background also includes web and full stack development, allowing me to build seamless integration between AI models and user-facing applications.…I am a highly motivated and experienced machine learning engineer with over a decade of hands-on experience in building and deploying machine learning models. My expertise spans a wide range of machine learning techniques including NLP, speech recognition, deep learning, and generative AI such as large language models, retrieval-augmented generation, finetuning, and prompt engineering. I am proficient in Python and skilled with cloud platforms including AWS, GCP, and Microsoft Azure. Throughout my career, I've contributed to impactful projects across diverse sectors including finance, healthcare, marketing, and transportation. I enjoy leveraging the latest advancements in AI and machine learning to build robust, scalable solutions that improve business operations and user experiences. My background also includes web and full stack development, allowing me to build seamless integration between AI models and user-facing applications.

Austin James Martinez

AI Engineer, Data Scientist, Full Stack Developer, +2

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I am a highly motivated and experienced machine learning engineer with over a decade of hands-on experience in building and deploying machine learning models. My expertise spans a wide range of machine learning techniques including NLP, speech recognition, deep learning, and generative AI such as large language models, retrieval-augmented generation, finetuning, and prompt engineering. I am proficient in Python and skilled with cloud platforms including AWS, GCP, and Microsoft Azure. Throughout my career, I've contributed to impactful projects across diverse sectors including finance, healthcare, marketing, and transportation. I enjoy leveraging the latest advancements in AI and machine learning to build robust, scalable solutions that improve business operations and user experiences. My background also includes web and full stack development, allowing me to build seamless integration between AI models and user-facing applications.…I am a highly motivated and experienced machine learning engineer with over a decade of hands-on experience in building and deploying machine learning models. My expertise spans a wide range of machine learning techniques including NLP, speech recognition, deep learning, and generative AI such as large language models, retrieval-augmented generation, finetuning, and prompt engineering. I am proficient in Python and skilled with cloud platforms including AWS, GCP, and Microsoft Azure. Throughout my career, I've contributed to impactful projects across diverse sectors including finance, healthcare, marketing, and transportation. I enjoy leveraging the latest advancements in AI and machine learning to build robust, scalable solutions that improve business operations and user experiences. My background also includes web and full stack development, allowing me to build seamless integration between AI models and user-facing applications.

Available to hire

I am a highly motivated and experienced machine learning engineer with over a decade of hands-on experience in building and deploying machine learning models. My expertise spans a wide range of machine learning techniques including NLP, speech recognition, deep learning, and generative AI such as large language models, retrieval-augmented generation, finetuning, and prompt engineering. I am proficient in Python and skilled with cloud platforms including AWS, GCP, and Microsoft Azure.

Throughout my career, I’ve contributed to impactful projects across diverse sectors including finance, healthcare, marketing, and transportation. I enjoy leveraging the latest advancements in AI and machine learning to build robust, scalable solutions that improve business operations and user experiences. My background also includes web and full stack development, allowing me to build seamless integration between AI models and user-facing applications.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Beginner

Language

English

Fluent

Work Experience

Generative AI Engineer at Microsoft Corporation

May 31, 2025 - July 30, 2025

Designed and developed a robust AI Agent using Generative AI, particularly LLMs. Created custom datasets with self-instruct and prompt engineering methods, and fine-tuned LLMs using PyTorch on massive text corpora. Developed a RAG pipeline for enterprise-level organizations using vector and graph databases like Neo4j. Improved AI agent robustness through NLP, NLU, NNU, and NER techniques. Utilized Azure Databricks and Azure AI services for deployment, integrating Azure OpenAI for advanced NLP tasks. Implemented conversational AI enhancements using Lex and dialog flows, optimizing inference speed with GPU acceleration and Nvidia cloud, reducing latency by 20%. Integrated LLMs into enterprise chatbot platforms, significantly boosting user engagement and satisfaction. Conducted ongoing research to improve NLP, machine learning, and generative AI systems. Integrated RASA for building contextual chatbots enhancing adaptability in conversations.

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

August 31, 2022 - July 30, 2025

Leveraged AWS SageMaker to develop and deploy advanced machine learning models that optimized supply chain operations and reduced inventory costs by 15%. Utilized Amazon Personalize and Rekognition for AI-powered personalized product recommendations, increasing online sales conversion by 20%. Implemented NLP algorithms with Amazon Comprehend and Lex to analyze customer feedback, enhancing product development cycles by 30%. Applied computer vision for quality control using Amazon Lookout for Vision and AWS DeepLens, cutting defect rates by 25%. Built deep learning demand forecasting models on TensorFlow and PyTorch using EC2 P3 instances, improving inventory accuracy by 18%. Led ML Ops implementation with AWS Step Functions and SageMaker Pipelines to streamline model deployment and monitoring. Conducted A/B testing with Amazon A2I to scale models globally. Created data visualizations for senior management using Quick Sight and Athena to influence strategic decisions. Mentored junior sci

ML/Data Engineer at Urbint

February 1, 2019 - July 30, 2025

Developed and deployed recommendation systems for ecommerce clients using collaborative filtering and matrix factorization. Delivered AI-powered medical imaging analysis models featuring image classification, segmentation, and detection using YOLOv3 and Faster R-CNN with fine-tuning. Built machine learning models for drug discovery focusing on drug efficacy and toxicity prediction. Created personalized medicine platforms predicting patient outcomes with clustering and decision trees. Developed sentiment analysis systems for social media monitoring via text classification and topic modeling. Produced environmental monitoring models forecasting air quality and weather using time-series analysis. Implemented machine learning models assessing conservation effects of interventions using regression and feature engineering.

Machine Learning Intern at Amazon

July 31, 2015 - July 30, 2025

Contributed to developing Amazon Alexa features with a focus on natural language understanding, speech recognition, and deep learning techniques. Collaborated with cross-functional teams to deploy machine learning models for voice recognition and personalized recommendations enhancing Alexa's capabilities.

Full Stack Developer at ActivTrak

April 30, 2014 - July 30, 2025

Developed lightweight, user-friendly web applications prioritizing performance and usability. Maintained both front-end and back-end components ensuring seamless integration and smooth user experiences. Designed responsive user interfaces and implemented scalable architectures using modern web technologies.

Generative AI Engineer at Microsoft Corporation

June 1, 2025 - August 27, 2025

Designed and developed robust AI Agents using large language models and generative AI techniques including self-instruct datasets, prompt engineering, and finetuning with PyTorch. Developed retrieval-augmented generation pipelines leveraging vector and graph databases like Neo4j. Implemented advanced NLP and NLU techniques to improve AI decision-making, using Azure Databricks, Azure AI services, and Azure OpenAI for deployment. Enhanced conversational AI using Lex and dialog flows, optimizing latency by 20% with GPU acceleration. Integrated contextual chatbot frameworks with RASA to improve adaptability in dynamic conversations.

Senior Data Scientist - ML/NLP Specialist at Nike, Inc

August 1, 2022 - August 27, 2025

Leveraged AWS SageMaker for developing and deploying machine learning models that optimized supply chain management, reducing inventory costs by 15%. Created AI-powered personalized product recommendation systems using Amazon Personalize and Rekognition, boosting sales conversion by 20%. Applied NLP to customer feedback analysis improving product cycles by 30%. Employed computer vision tools for quality control reducing defects by 25%. Developed deep learning forecasting models to improve inventory accuracy by 18%. Led ML Ops initiatives and mentored junior data scientists while presenting insights using Amazon QuickSight and Athena.

ML/Data Engineer at Urbint

February 1, 2019 - August 27, 2025

Developed recommendation systems for e-commerce using collaborative filtering and matrix factorization. Built AI solutions in healthcare including medical imaging analysis with YOLOv3 and Faster-RCNN, drug discovery models, and personalized medicine platforms. Delivered social media sentiment analysis applications using NLP techniques. Created machine learning models for environmental monitoring such as air quality and weather prediction, and evaluating conservation effects using regression and feature engineering.

Machine Learning Intern at Amazon

July 1, 2015 - August 27, 2025

Contributed to Amazon Alexa development focusing on natural language understanding, speech recognition, and deep learning techniques. Collaborated cross-functionally to deploy machine learning models for voice recognition and personalized recommendations.

Full Stack Developer at ActivTrak

April 1, 2014 - August 27, 2025

Developed lightweight, user-friendly web applications emphasizing performance and usability. Maintained both front-end and back-end components ensuring seamless integration, optimized server-side logic, and designed responsive user interfaces using modern web technologies.