I am a Senior Machine Learning Engineer with 10+ years of experience in computer vision, deep learning, and production ML systems. I specialize in scalable ML pipelines, model optimization, and on-device deployment, with a track record of contributing to state-of-the-art mobile architectures and large-scale visual search systems. I enjoy translating customer needs into practical ML features, collaborating with product and design teams, and leading efforts from data collection to AB testing and performance monitoring. My work spans fashion and retail applications, cloud and edge deployments, and research-driven improvements to vision models.

Andrew Berg

I am a Senior Machine Learning Engineer with 10+ years of experience in computer vision, deep learning, and production ML systems. I specialize in scalable ML pipelines, model optimization, and on-device deployment, with a track record of contributing to state-of-the-art mobile architectures and large-scale visual search systems. I enjoy translating customer needs into practical ML features, collaborating with product and design teams, and leading efforts from data collection to AB testing and performance monitoring. My work spans fashion and retail applications, cloud and edge deployments, and research-driven improvements to vision models.

Available to hire

I am a Senior Machine Learning Engineer with 10+ years of experience in computer vision, deep learning, and production ML systems. I specialize in scalable ML pipelines, model optimization, and on-device deployment, with a track record of contributing to state-of-the-art mobile architectures and large-scale visual search systems.

I enjoy translating customer needs into practical ML features, collaborating with product and design teams, and leading efforts from data collection to AB testing and performance monitoring. My work spans fashion and retail applications, cloud and edge deployments, and research-driven improvements to vision models.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Work Experience

Senior Machine Learning Engineer at Raspberry AI
February 1, 2024 - Present
Developed and deployed production generative AI models for fashion design automation, enabling enterprise clients to transform sketches into photorealistic renderings. Architected a conversational design agent with multi-intent classification and contextual image generation. Built LoRA fine-tuning pipelines for brand personalization and a semantic asset retrieval system using Fashion-CLIP embeddings for sub-second similarity search. Developed training data pipelines with automated quality filtering, EXIF correction, color normalization, and memory-efficient batch embeddings for 1000+ images per job. Implemented CV systems for garment detection, fabric recognition, and style attribute extraction, and optimized inference with batching and caching to reduce costs by 40%.
Senior Machine Learning Software Engineer at Google
June 1, 2020 - December 1, 2023
Co-developed MobileNetV4, achieving 87% ImageNet accuracy at 3.8 ms inference on EdgeTPU. Core developer on TensorFlow Model Garden, deploying vision models across Cloud, Chrome, Photos, AR, and Pixel. Implemented Quantization-Aware Training (QAT) to enable INT8 deployment with minimal accuracy loss and 3x latency reduction. Led multimodal model fine-tuning for Google Gemini with interleaved text and image processing. Built unsupervised and semi-supervised anomaly detection models for Cloud Visual Inspection AI and contributed to vision transformer innovations.
Senior Data Engineer at Valtech
August 1, 2017 - May 1, 2020
Designed and maintained large-scale ETL pipelines with Python, Spark, and Airflow; automated ingestion/transformation of multi-terabyte datasets into AWS Redshift and Snowflake. Collaborated with data scientists to build predictive analytics and real-time personalization, improving client engagement. Optimized dimensional models and metrics, reducing query latency by 40%. Implemented CI/CD workflows with GitLab and Terraform, enabling automated deployment of data pipelines across environments. Led migrations of legacy warehouses to AWS Redshift, boosting performance and reducing operational costs; mentored junior engineers and coordinated with offshore teams.
Research Scientist at eBay
June 1, 2014 - June 1, 2017
Architected large-scale visual search systems for 1B+ live listings, deploying deep learning models for image classification and similarity matching. Created ModaNet, a 55k-image street fashion dataset across 13 categories, published as an ACM Multimedia 2018 oral presentation. Built fine-grained visual classification models and robust image indexing/hashing for real-time search; developed object detection/localization using Faster R-CNN/YOLO and implemented saliency and semantic segmentation techniques for fashion product understanding.

Education

Bachelor of Science in Computer Science at University of Wisconsin-Madison
January 11, 2030 - January 1, 2014

Qualifications

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Industry Experience

Software & Internet, Professional Services, Retail, Consumer Goods, Media & Entertainment