Professional Summary
Senior AI Engineer with 8 years of experience designing and deploying machine learning systems in production. Expert in deep learning, natural language processing, and CI/CD pipelines that support rapid experimentation. Passionate about balancing model performance with reliability and developer velocity.
Skills
- Communication
- Python
- Ci/Cd
- Machine Learning
- Deep Learning
- Tensorflow
- Pytorch
- Node.Js
- Nlp
- Mongodb
- Azure
- Leadership
- Data Engineering
- Model Governance
Experience
Senior Ai Engineer — Recro
- Architected a recommendation engine that increased user engagement by 30% and reduced latency to 50ms.
- Improved CI/CD pipelines to deploy ML models weekly with full test coverage, reducing rollbacks by 40%.
- Led a team of 5 data scientists and engineers through best practices in model governance and observability.
- Implemented real-time scoring APIs serving 2M requests/day with 99.9% uptime SLAs.
- Designed a feature store that accelerated experimentation cycles by providing self-serve data access.
AI Engineer — Austell Pharmaceuticals
- Developed NLP models that extracted patient insights from unstructured notes, improving triage accuracy by 25%.
- Migrated analytics pipelines from on-premise Spark to Azure Databricks, reducing processing time by 60%.
- Collaborated with clinical teams to validate machine learning findings and iterate on decision support tools.
- Optimised feature extraction workflows, cutting engineering time for new models in half.
- Presented findings at industry conferences, raising the company's profile in healthtech AI.
Professional Summary
Senior AI Engineer with 8 years of experience designing and deploying machine learning systems in production. Expert in deep learning, natural language processing, and CI/CD pipelines that support rapid experimentation. Passionate about balancing model performance with reliability and developer velocity.
Skills
- Communication
- Python
- Ci/Cd
- Machine Learning
- Deep Learning
- Tensorflow
- Pytorch
- Node.Js
- Nlp
- Mongodb
- Azure
- Leadership
- Data Engineering
- Model Governance
Experience
Senior Ai Engineer — Recro
- Architected a recommendation engine that increased user engagement by 30% and reduced latency to 50ms.
- Improved CI/CD pipelines to deploy ML models weekly with full test coverage, reducing rollbacks by 40%.
- Led a team of 5 data scientists and engineers through best practices in model governance and observability.
- Implemented real-time scoring APIs serving 2M requests/day with 99.9% uptime SLAs.
- Designed a feature store that accelerated experimentation cycles by providing self-serve data access.
AI Engineer — Austell Pharmaceuticals
- Developed NLP models that extracted patient insights from unstructured notes, improving triage accuracy by 25%.
- Migrated analytics pipelines from on-premise Spark to Azure Databricks, reducing processing time by 60%.
- Collaborated with clinical teams to validate machine learning findings and iterate on decision support tools.
- Optimised feature extraction workflows, cutting engineering time for new models in half.
- Presented findings at industry conferences, raising the company's profile in healthtech AI.
Professional Summary
Senior AI Engineer with 8 years of experience designing and deploying machine learning systems in production. Expert in deep learning, natural language processing, and CI/CD pipelines that support rapid experimentation. Passionate about balancing model performance with reliability and developer velocity.
Skills
- Communication
- Python
- Ci/Cd
- Machine Learning
- Deep Learning
- Tensorflow
- Pytorch
- Node.Js
- Nlp
- Mongodb
- Azure
- Leadership
- Data Engineering
- Model Governance
Experience
Senior Ai Engineer — Recro
- Architected a recommendation engine that increased user engagement by 30% and reduced latency to 50ms.
- Improved CI/CD pipelines to deploy ML models weekly with full test coverage, reducing rollbacks by 40%.
- Led a team of 5 data scientists and engineers through best practices in model governance and observability.
- Implemented real-time scoring APIs serving 2M requests/day with 99.9% uptime SLAs.
- Designed a feature store that accelerated experimentation cycles by providing self-serve data access.
AI Engineer — Austell Pharmaceuticals
- Developed NLP models that extracted patient insights from unstructured notes, improving triage accuracy by 25%.
- Migrated analytics pipelines from on-premise Spark to Azure Databricks, reducing processing time by 60%.
- Collaborated with clinical teams to validate machine learning findings and iterate on decision support tools.
- Optimised feature extraction workflows, cutting engineering time for new models in half.
- Presented findings at industry conferences, raising the company's profile in healthtech AI.
Professional Summary
Senior AI Engineer with 8 years of experience designing and deploying machine learning systems in production. Expert in deep learning, natural language processing, and CI/CD pipelines that support rapid experimentation. Passionate about balancing model performance with reliability and developer velocity.
Skills
- Communication
- Python
- Ci/Cd
- Machine Learning
- Deep Learning
- Tensorflow
- Pytorch
- Node.Js
- Nlp
- Mongodb
- Azure
- Leadership
- Data Engineering
- Model Governance
Experience
Senior Ai Engineer — Recro
- Architected a recommendation engine that increased user engagement by 30% and reduced latency to 50ms.
- Improved CI/CD pipelines to deploy ML models weekly with full test coverage, reducing rollbacks by 40%.
- Led a team of 5 data scientists and engineers through best practices in model governance and observability.
- Implemented real-time scoring APIs serving 2M requests/day with 99.9% uptime SLAs.
- Designed a feature store that accelerated experimentation cycles by providing self-serve data access.
AI Engineer — Austell Pharmaceuticals
- Developed NLP models that extracted patient insights from unstructured notes, improving triage accuracy by 25%.
- Migrated analytics pipelines from on-premise Spark to Azure Databricks, reducing processing time by 60%.
- Collaborated with clinical teams to validate machine learning findings and iterate on decision support tools.
- Optimised feature extraction workflows, cutting engineering time for new models in half.
- Presented findings at industry conferences, raising the company's profile in healthtech AI.
Professional Summary
Senior AI Engineer with 8 years of experience designing and deploying machine learning systems in production. Expert in deep learning, natural language processing, and CI/CD pipelines that support rapid experimentation. Passionate about balancing model performance with reliability and developer velocity.
Skills
- Communication
- Python
- Ci/Cd
- Machine Learning
- Deep Learning
- Tensorflow
- Pytorch
- Node.Js
- Nlp
- Mongodb
- Azure
- Leadership
- Data Engineering
- Model Governance
Experience
Senior Ai Engineer — Recro
- Architected a recommendation engine that increased user engagement by 30% and reduced latency to 50ms.
- Improved CI/CD pipelines to deploy ML models weekly with full test coverage, reducing rollbacks by 40%.
- Led a team of 5 data scientists and engineers through best practices in model governance and observability.
- Implemented real-time scoring APIs serving 2M requests/day with 99.9% uptime SLAs.
- Designed a feature store that accelerated experimentation cycles by providing self-serve data access.
AI Engineer — Austell Pharmaceuticals
- Developed NLP models that extracted patient insights from unstructured notes, improving triage accuracy by 25%.
- Migrated analytics pipelines from on-premise Spark to Azure Databricks, reducing processing time by 60%.
- Collaborated with clinical teams to validate machine learning findings and iterate on decision support tools.
- Optimised feature extraction workflows, cutting engineering time for new models in half.
- Presented findings at industry conferences, raising the company's profile in healthtech AI.
Professional Summary
Senior AI Engineer with 8 years of experience designing and deploying machine learning systems in production. Expert in deep learning, natural language processing, and CI/CD pipelines that support rapid experimentation. Passionate about balancing model performance with reliability and developer velocity.
Skills
- Communication
- Python
- Ci/Cd
- Machine Learning
- Deep Learning
- Tensorflow
- Pytorch
- Node.Js
- Nlp
- Mongodb
- Azure
- Leadership
- Data Engineering
- Model Governance
Experience
Senior Ai Engineer — Recro
- Architected a recommendation engine that increased user engagement by 30% and reduced latency to 50ms.
- Improved CI/CD pipelines to deploy ML models weekly with full test coverage, reducing rollbacks by 40%.
- Led a team of 5 data scientists and engineers through best practices in model governance and observability.
- Implemented real-time scoring APIs serving 2M requests/day with 99.9% uptime SLAs.
- Designed a feature store that accelerated experimentation cycles by providing self-serve data access.
AI Engineer — Austell Pharmaceuticals
- Developed NLP models that extracted patient insights from unstructured notes, improving triage accuracy by 25%.
- Migrated analytics pipelines from on-premise Spark to Azure Databricks, reducing processing time by 60%.
- Collaborated with clinical teams to validate machine learning findings and iterate on decision support tools.
- Optimised feature extraction workflows, cutting engineering time for new models in half.
- Presented findings at industry conferences, raising the company's profile in healthtech AI.
Professional Summary
Senior AI Engineer with 8 years of experience designing and deploying machine learning systems in production. Expert in deep learning, natural language processing, and CI/CD pipelines that support rapid experimentation. Passionate about balancing model performance with reliability and developer velocity.
Skills
- Communication
- Python
- Ci/Cd
- Machine Learning
- Deep Learning
- Tensorflow
- Pytorch
- Node.Js
- Nlp
- Mongodb
- Azure
- Leadership
- Data Engineering
- Model Governance
Experience
Senior Ai Engineer — Recro
- Architected a recommendation engine that increased user engagement by 30% and reduced latency to 50ms.
- Improved CI/CD pipelines to deploy ML models weekly with full test coverage, reducing rollbacks by 40%.
- Led a team of 5 data scientists and engineers through best practices in model governance and observability.
- Implemented real-time scoring APIs serving 2M requests/day with 99.9% uptime SLAs.
- Designed a feature store that accelerated experimentation cycles by providing self-serve data access.
AI Engineer — Austell Pharmaceuticals
- Developed NLP models that extracted patient insights from unstructured notes, improving triage accuracy by 25%.
- Migrated analytics pipelines from on-premise Spark to Azure Databricks, reducing processing time by 60%.
- Collaborated with clinical teams to validate machine learning findings and iterate on decision support tools.
- Optimised feature extraction workflows, cutting engineering time for new models in half.
- Presented findings at industry conferences, raising the company's profile in healthtech AI.
Professional Summary
Senior AI Engineer with 8 years of experience designing and deploying machine learning systems in production. Expert in deep learning, natural language processing, and CI/CD pipelines that support rapid experimentation. Passionate about balancing model performance with reliability and developer velocity.
Skills
- Communication
- Python
- Ci/Cd
- Machine Learning
- Deep Learning
- Tensorflow
- Pytorch
- Node.Js
- Nlp
- Mongodb
- Azure
- Leadership
- Data Engineering
- Model Governance
Experience
Senior Ai Engineer — Recro
- Architected a recommendation engine that increased user engagement by 30% and reduced latency to 50ms.
- Improved CI/CD pipelines to deploy ML models weekly with full test coverage, reducing rollbacks by 40%.
- Led a team of 5 data scientists and engineers through best practices in model governance and observability.
- Implemented real-time scoring APIs serving 2M requests/day with 99.9% uptime SLAs.
- Designed a feature store that accelerated experimentation cycles by providing self-serve data access.
AI Engineer — Austell Pharmaceuticals
- Developed NLP models that extracted patient insights from unstructured notes, improving triage accuracy by 25%.
- Migrated analytics pipelines from on-premise Spark to Azure Databricks, reducing processing time by 60%.
- Collaborated with clinical teams to validate machine learning findings and iterate on decision support tools.
- Optimised feature extraction workflows, cutting engineering time for new models in half.
- Presented findings at industry conferences, raising the company's profile in healthtech AI.
Professional Summary
Senior AI Engineer with 8 years of experience designing and deploying machine learning systems in production. Expert in deep learning, natural language processing, and CI/CD pipelines that support rapid experimentation. Passionate about balancing model performance with reliability and developer velocity.
Skills
- Communication
- Python
- Ci/Cd
- Machine Learning
- Deep Learning
- Tensorflow
- Pytorch
- Node.Js
- Nlp
- Mongodb
- Azure
- Leadership
- Data Engineering
- Model Governance
Experience
Senior Ai Engineer — Recro
- Architected a recommendation engine that increased user engagement by 30% and reduced latency to 50ms.
- Improved CI/CD pipelines to deploy ML models weekly with full test coverage, reducing rollbacks by 40%.
- Led a team of 5 data scientists and engineers through best practices in model governance and observability.
- Implemented real-time scoring APIs serving 2M requests/day with 99.9% uptime SLAs.
- Designed a feature store that accelerated experimentation cycles by providing self-serve data access.
AI Engineer — Austell Pharmaceuticals
- Developed NLP models that extracted patient insights from unstructured notes, improving triage accuracy by 25%.
- Migrated analytics pipelines from on-premise Spark to Azure Databricks, reducing processing time by 60%.
- Collaborated with clinical teams to validate machine learning findings and iterate on decision support tools.
- Optimised feature extraction workflows, cutting engineering time for new models in half.
- Presented findings at industry conferences, raising the company's profile in healthtech AI.
Professional Summary
Senior AI Engineer with 8 years of experience designing and deploying machine learning systems in production. Expert in deep learning, natural language processing, and CI/CD pipelines that support rapid experimentation. Passionate about balancing model performance with reliability and developer velocity.
Skills
- Communication
- Python
- Ci/Cd
- Machine Learning
- Deep Learning
- Tensorflow
- Pytorch
- Node.Js
- Nlp
- Mongodb
- Azure
- Leadership
- Data Engineering
- Model Governance
Experience
Senior Ai Engineer — Recro
- Architected a recommendation engine that increased user engagement by 30% and reduced latency to 50ms.
- Improved CI/CD pipelines to deploy ML models weekly with full test coverage, reducing rollbacks by 40%.
- Led a team of 5 data scientists and engineers through best practices in model governance and observability.
- Implemented real-time scoring APIs serving 2M requests/day with 99.9% uptime SLAs.
- Designed a feature store that accelerated experimentation cycles by providing self-serve data access.
AI Engineer — Austell Pharmaceuticals
- Developed NLP models that extracted patient insights from unstructured notes, improving triage accuracy by 25%.
- Migrated analytics pipelines from on-premise Spark to Azure Databricks, reducing processing time by 60%.
- Collaborated with clinical teams to validate machine learning findings and iterate on decision support tools.
- Optimised feature extraction workflows, cutting engineering time for new models in half.
- Presented findings at industry conferences, raising the company's profile in healthtech AI.
Professional Summary
Senior AI Engineer with 8 years of experience designing and deploying machine learning systems in production. Expert in deep learning, natural language processing, and CI/CD pipelines that support rapid experimentation. Passionate about balancing model performance with reliability and developer velocity.
Skills
- Communication
- Python
- Ci/Cd
- Machine Learning
- Deep Learning
- Tensorflow
- Pytorch
- Node.Js
- Nlp
- Mongodb
- Azure
- Leadership
- Data Engineering
- Model Governance
Experience
Senior Ai Engineer — Recro
- Architected a recommendation engine that increased user engagement by 30% and reduced latency to 50ms.
- Improved CI/CD pipelines to deploy ML models weekly with full test coverage, reducing rollbacks by 40%.
- Led a team of 5 data scientists and engineers through best practices in model governance and observability.
- Implemented real-time scoring APIs serving 2M requests/day with 99.9% uptime SLAs.
- Designed a feature store that accelerated experimentation cycles by providing self-serve data access.
AI Engineer — Austell Pharmaceuticals
- Developed NLP models that extracted patient insights from unstructured notes, improving triage accuracy by 25%.
- Migrated analytics pipelines from on-premise Spark to Azure Databricks, reducing processing time by 60%.
- Collaborated with clinical teams to validate machine learning findings and iterate on decision support tools.
- Optimised feature extraction workflows, cutting engineering time for new models in half.
- Presented findings at industry conferences, raising the company's profile in healthtech AI.