Thomas Strassner
With 8+ years in software engineering and DevOps, I build intelligent, scalable applications that drive business growth.
About
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.
- Joined November 2025
Industry experience
- Software & Internet
- Professional Services
- Media & Entertainment
- Travel & Hospitality
- Real Estate & Construction
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Work experience· 4 roles
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.
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.
Developed ML algorithms using Python and TensorFlow to enhance pricing strategies, achieving a 15% increase in RevPAR.
Education
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