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With 8+ years in software engineering and DevOps, I build intelligent, scalable applications that drive business growth. My expertise spans AI systems, full-stack development, cloud automation, CI/CD pipelines, and containerized architectures. I work with LLMs, LangChain, and enterprise integrations (Salesforce, HubSpot, Zoho) to deliver automation, analytics, and reliability across platforms. Focused on efficiency, scalability, and innovation, I design systems that learn, adapt, and perform at scale.…With 8+ years in software engineering and DevOps, I build intelligent, scalable applications that drive business growth. My expertise spans AI systems, full-stack development, cloud automation, CI/CD pipelines, and containerized architectures. I work with LLMs, LangChain, and enterprise integrations (Salesforce, HubSpot, Zoho) to deliver automation, analytics, and reliability across platforms. Focused on efficiency, scalability, and innovation, I design systems that learn, adapt, and perform at scale.

Thomas Strassner

Data Scientist, AI Engineer, AI Developer, +5

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With 8+ years in software engineering and DevOps, I build intelligent, scalable applications that drive business growth. My expertise spans AI systems, full-stack development, cloud automation, CI/CD pipelines, and containerized architectures. I work with LLMs, LangChain, and enterprise integrations (Salesforce, HubSpot, Zoho) to deliver automation, analytics, and reliability across platforms. Focused on efficiency, scalability, and innovation, I design systems that learn, adapt, and perform at scale.…With 8+ years in software engineering and DevOps, I build intelligent, scalable applications that drive business growth. My expertise spans AI systems, full-stack development, cloud automation, CI/CD pipelines, and containerized architectures. I work with LLMs, LangChain, and enterprise integrations (Salesforce, HubSpot, Zoho) to deliver automation, analytics, and reliability across platforms. Focused on efficiency, scalability, and innovation, I design systems that learn, adapt, and perform at scale.

Available to hire

With 8+ years in software engineering and DevOps, I build intelligent, scalable applications that drive business growth. My expertise spans AI systems, full-stack development, cloud automation, CI/CD pipelines, and containerized architectures.

I work with LLMs, LangChain, and enterprise integrations (Salesforce, HubSpot, Zoho) to deliver automation, analytics, and reliability across platforms. Focused on efficiency, scalability, and innovation, I design systems that learn, adapt, and perform at scale.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Machine Learning Engineer at Google

September 1, 2013 - September 1, 2013

Collaborated with cross-functional teams to develop and optimize machine learning models to enhance user experience across Google products, leading to a measurable increase in user engagement.

Revenue Management Optimization Specialist at Hyatt Hotels Corporation

December 1, 2018 - December 1, 2018

Developed ML algorithms using Python and TensorFlow to enhance pricing strategies, achieving a 15% increase in RevPAR.

Senior Data Scientist - GenAI Specialist at UrbInt

December 1, 2022 - December 1, 2022

Led development of ML/GenAI solutions for urban infrastructure risk assessment, built NLP preprocessing pipelines for unstructured field reports, and implemented MLops practices with Git, CI/CD, and monitoring; created interactive dashboards for real-time insights; integrated LangChain and PyTorch; improved incident classification by 40% and reduced risk-mitigation latency; designed dynamic prompt templates for zero-shot and few-shot learning; achieved significant reductions in deployment time.

Senior Data Scientist - GenAI Specialist at Remote

August 1, 2025 - August 1, 2025

Led AI-driven infrastructure analytics, built a real-time maintenance dashboard, implemented MLops best practices (Git, CI/CD, monitoring), and optimized data processing pipelines (Airflow, Spark, AWS Glue) to enable scalable ML solutions and faster decision-making for utility clients.