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I'm Galen Bowles, a Senior Backend Engineer and AI/ML Systems Engineer who builds robust backend platforms and applies machine learning to real-world problems. I specialize in cloud-native architectures, scalable APIs, and production-grade ML systems, delivering reliable, observable solutions that perform well beyond research labs. My recent work includes NLP sentiment analysis and abstractive summarization, as well as computer vision pipelines for medical imaging and vision-based risk prediction in ADAS contexts using dash cam video. I thrive on turning raw data into practical features and services, with a bias toward clear system design and end-to-end reproducibility, even in high-stakes environments like healthcare and automotive.…I'm Galen Bowles, a Senior Backend Engineer and AI/ML Systems Engineer who builds robust backend platforms and applies machine learning to real-world problems. I specialize in cloud-native architectures, scalable APIs, and production-grade ML systems, delivering reliable, observable solutions that perform well beyond research labs. My recent work includes NLP sentiment analysis and abstractive summarization, as well as computer vision pipelines for medical imaging and vision-based risk prediction in ADAS contexts using dash cam video. I thrive on turning raw data into practical features and services, with a bias toward clear system design and end-to-end reproducibility, even in high-stakes environments like healthcare and automotive.

Galen Bowles

Full Stack Developer, AI Engineer, Data Scientist, +1

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I'm Galen Bowles, a Senior Backend Engineer and AI/ML Systems Engineer who builds robust backend platforms and applies machine learning to real-world problems. I specialize in cloud-native architectures, scalable APIs, and production-grade ML systems, delivering reliable, observable solutions that perform well beyond research labs. My recent work includes NLP sentiment analysis and abstractive summarization, as well as computer vision pipelines for medical imaging and vision-based risk prediction in ADAS contexts using dash cam video. I thrive on turning raw data into practical features and services, with a bias toward clear system design and end-to-end reproducibility, even in high-stakes environments like healthcare and automotive.…I'm Galen Bowles, a Senior Backend Engineer and AI/ML Systems Engineer who builds robust backend platforms and applies machine learning to real-world problems. I specialize in cloud-native architectures, scalable APIs, and production-grade ML systems, delivering reliable, observable solutions that perform well beyond research labs. My recent work includes NLP sentiment analysis and abstractive summarization, as well as computer vision pipelines for medical imaging and vision-based risk prediction in ADAS contexts using dash cam video. I thrive on turning raw data into practical features and services, with a bias toward clear system design and end-to-end reproducibility, even in high-stakes environments like healthcare and automotive.

Available to hire

I’m Galen Bowles, a Senior Backend Engineer and AI/ML Systems Engineer who builds robust backend platforms and applies machine learning to real-world problems. I specialize in cloud-native architectures, scalable APIs, and production-grade ML systems, delivering reliable, observable solutions that perform well beyond research labs.

My recent work includes NLP sentiment analysis and abstractive summarization, as well as computer vision pipelines for medical imaging and vision-based risk prediction in ADAS contexts using dash cam video. I thrive on turning raw data into practical features and services, with a bias toward clear system design and end-to-end reproducibility, even in high-stakes environments like healthcare and automotive.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Work Experience

AI Automation Engineer at HeySITTERS

July 1, 2025 - December 1, 2025

Automated core backend processes with Python, reducing manual effort across internal workflows. Integrated AI-driven tools into existing backend systems to boost productivity and reliability. Developed AI-based task automation to alleviate bottlenecks and improve throughput. Designed and optimized relational and NoSQL database schemas to support automation workflows with high query efficiency. Implemented indexing and query optimization strategies to reduce latency in high-frequency tasks. Built lightweight retrieval-augmented automation workflows to enrich tasks with contextual data from internal documents and datasets. Monitored resource usage with AWS CloudWatch metrics and dashboards, and implemented cost-aware execution strategies including batching and right-sizing. Added CloudWatch alerts for proactive surface of abnormal cost patterns. Built Python ETL pipelines using Pandas and SQLAlchemy to prepare data for downstream AI workflows. Documented AI systems and Python workflows u

Senior Backend Engineer / AI Platform Engineer at GLEAN

August 1, 2024 - June 1, 2025

Led NLP-driven knowledge and search features to improve understanding, retrieval, and surfacing of large document collections. Built and evaluated abstractive text summarization pipelines using transformer models (BART) to generate concise summaries. Developed sentiment analysis workflows to classify and enrich news and document data used in downstream ranking. Designed text preprocessing pipelines to clean, normalize, and structure large-scale datasets for model training and inference. Evaluated summarization quality with ROUGE, iterating on preprocessing and configuration to improve coherence in production. Integrated ML outputs into backend services to support search, ranking, and knowledge retrieval workflows. Collaborated with platform and product teams to align ML features with production requirements and performance constraints. Ensured ML features were reliable, observable, and maintainable when deployed as part of backend systems. Established clear interfaces between data inge

Staff Backend Engineer / AI System Engineer at SCALE AI

April 1, 2021 - June 1, 2024

Designed end-to-end ML pipelines for large-scale data processing, model training, evaluation, and backend integration. Built medical imaging preprocessing pipelines for CT data, supporting lung nodule detection workflows. Applied transfer learning using ResNet50 and ResNet18 for image classification and detection tasks. Implemented image preprocessing and augmentation to reduce noise, improve feature clarity, and increase dataset robustness. Worked extensively with large and complex datasets, applying validation checks to ensure reliable training inputs. Integrated ML pipelines with backend services, enabling model inference and evaluation in production-like environments. Focused on robustness, reproducibility, and failure analysis, particularly for sensitive data such as medical images. Collaborated with data and platform teams to bridge ML workflows with scalable backend systems and contributed to reusable pipeline components.

Staff Backend Engineer + Intelligent Systems at MOVEWORKS

March 1, 2019 - January 1, 2021

Built backend APIs supporting AI-driven automation workflows in production environments. Worked extensively with Python alongside backend services to support ML- and NLP-powered automation features. Integrated Python-based ML and NLP components built with PyTorch and early transformer-based models into backend systems. Supported model inference services and intelligent routing logic implemented in Python with a focus on low-latency execution. Used Python tooling for data preprocessing, feature extraction, and evaluation to improve AI automation outcomes. Implemented retrieval-based knowledge enrichment pipelines to provide contextual data for NLP-driven automation using internal knowledge bases. Deployed and maintained backend services on cloud infrastructure with a focus on scalability and cost efficiency. Owned production services end-to-end, ensuring reliability, performance, and operational excellence.

AI Backend Developer at TARA

January 1, 2017 - February 1, 2019

Developed and maintained REST APIs using Node.js to support core product functionality. Implemented backend logic in JavaScript (ES6+) for authentication, routing, and session management. Built high-performance Node.js APIs using Express.js, handling high request concurrency in production environments. Implemented real-time features using Socket.IO for live updates and notifications. Integrated third-party services including Stripe, PayPal, and Apple Pay. Designed schemas and queries using MongoDB and PostgreSQL to support scalable backend operations. Improved API performance and reliability using Redis-based caching. Used Python alongside Node.js to build internal services and lightweight data-processing utilities. Automated maintenance tasks and batch jobs using Node.js scripts and cron. Added structured logging, monitoring, and error handling using Winston and Morgan to improve observability and debugging.