M

Marskus G

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Colorado Springs, Colorado, United States

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Résumé


Jobs verified_user 0% verified
  • C
    Senior AI/ML Engineer
    C-Vetted
    Jan 2024 - Current (2 years 8 months)
    • Architect and deploy end-to-end AI Native applications utilizing Python and GCP Vertex AI. Lead the development of sophisticated RAG pipelines and agentic workflows to automate complex business processes. Responsible for full-stack delivery including React-based frontends and FastAPI backends, ensuring robust telemetry and logging via GCP Cloud Monitoring. Managed model fine-tuning and evaluation loops to meet use-case specific performance metrics.
  • Ping Identity
    AI/ML Engineer
    Ping Identity
    Jan 2022 - Jan 2024 (2 years 1 month)
    • Designed and integrated LLM-powered features into enterprise identity platforms using LangChain and vector databases for semantic search. Collaborated with cross-functional teams in an Agile Scrum environment to translate business requirements into modular, scalable architectures. Implemented prompt engineering and chain-of-thought workflows to improve user behavior prediction and anomaly detection accuracy.
  • Pax8
    Machine Learning Developer
    Pax8
    Jan 2020 - Jan 2022 (2 years 1 month)
    • Engineered data ingestion connectors for structured and unstructured data, feeding high-scale ML pipelines on cloud infrastructure. Developed and maintained AI-powered web services using Python, Docker, and Kubernetes. Focused on production stability by implementing CI/CD pipelines for model deployment and automating the preprocessing of business-critical datasets.
  • A
    Software Engineer
    AI Systems, Northbeam Analytics
    Jan 2018 - Jan 2019 (1 year 1 month)
    • Developed internal tools and full-stack interfaces to support AI feature testing. Wired together data pipelines for batch scoring and integrated ML services into existing enterprise systems using JavaScript and Python.
  • S
    Machine Learning Engineer
    Signal Arc Labs
    Jan 2016 - Jan 2018 (2 years 1 month)
    • Built practical ML services for document understanding and ranking using NLP techniques. Managed the entire application lifecycle on cloud platforms, optimizing for low-latency search results and implementing rigorous monitoring for data drift and quality.
Education verified_user 0% verified
  • U
    M.Sc.
    University of Colorado, Colorado Springs
    Jan 2018 - Jan 2020 (2 years 1 month)
  • U
    B.Sc.
    University of Colorado, Colorado Springs
    Jan 2014 - Jan 2018 (4 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • A
    AI Native RAG Application
    • Developed an AI Native RAG application using LangChain, Vertex AI, and Pinecone to provide semantic search over enterprise knowledge bases. • Built a custom agent orchestration framework using LangGraph for multi-step reasoning tasks and automated triage. • Engineered a React-based experimentation dashboard to monitor LLM prompt performance and model evaluation metrics in real-time. • Implemented containerized deployment pipelines on GCP for fine-tuned Hugging Face models, reducing latency for inference services. • Created a data ingestion utility for unstructured documents, utilizing NLP for automated metadata extraction and indexing in vector stores.