Open to opportunities

Daring Badger

@daringbadger

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Senior Full Stack AI/ML Engineer delivering production-grade ML systems.

United States

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What I'm looking for

I seek roles building production ML/AI systems end-to-end, with strong CI/CD, scalable microservices, and opportunities to improve inference performance and user-facing AI experiences.

I am a Senior Full Stack AI/ML Engineer with over 9 years building and deploying machine learning models, deep learning systems, and generative AI applications at scale. I design end-to-end pipelines—from data ingestion, ETL, and model training to ONNX-exported models and production deployment on Kubernetes—driving real-time inference and measurable business impact.

Across roles at Intel, Cobalt Brand, IDT, and Expedia, I optimized inference performance with OpenVINO and hardware acceleration, integrated managed services like Vertex AI, and delivered AI-powered features such as chatbots, itinerary builders, and sensory similarity models. I prioritize robust CI/CD, observability, secure APIs, and scalable microservices to accelerate experimentation and reliability in production environments.

Experience

Work history, roles, and key accomplishments

Senior Software Engineer

Intel Corporation

Mar 2025 - Aug 2025 (5 months)

Developed and optimized deep learning pipelines using OpenVINO, PyTorch, and GStreamer, deployed workloads on Kubernetes with Helm sidecars to reduce manual configuration time by 35% and accelerated real-time video inference.

OpenVINO PyTorch GStreamer Kubernetes Helm Vertex AI Docker

Senior Full Stack Engineer

Cobalt Brand

May 2023 - Feb 2025 (1 year 9 months)

Engineered AI-powered chatbots and full-stack features with React and Django, containerized services with Docker and automated infrastructure via Terraform, improving backend processing 40% and doubling customer experience metrics.

React Django fastAPI Docker Terraform RabbitMQ Redis Datadog

Senior Python AI Engineer

IDT Corporation

Sep 2021 - Apr 2023 (1 year 7 months)

Designed Siamese neural networks and exported models to ONNX, built ETL pipelines with Airflow into BigQuery, and implemented MLflow tracking and scalable async processing to increase throughput for sensory data workflows.

PyTorch TensorFlow Onnx Apache Airflow MLFlow Django fastAPI Celery Redis Google BigQuery

Software Engineer

Expedia Group

May 2016 - Aug 2021 (5 years 3 months)

Improved Help Center performance (35% faster) via caching and async APIs, migrated Hive ETL to Spark, and built AI-powered itinerary builder using NLP and LLMs to enhance personalization and partner reporting at scale.