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Hi, I’m Chester Hamby, a Senior Software Engineer with 12+ years of experience delivering end-to-end ML and software solutions across healthcare, legal, and enterprise domains. I specialize in Large Language Models (LLMs), NLP, computer vision, fine-tuning, RAG, and RLHF, and I enjoy turning complex data into practical, scalable AI applications. I build robust backend microservices (FastAPI, Flask), interactive front-ends (React, TypeScript), and data pipelines (Kafka, Spark, Airflow) deployed on Kubernetes. I’m focused on HIPAA-compliant, high-availability AI systems and collaborate closely with product teams to deliver value for customers.…Hi, I’m Chester Hamby, a Senior Software Engineer with 12+ years of experience delivering end-to-end ML and software solutions across healthcare, legal, and enterprise domains. I specialize in Large Language Models (LLMs), NLP, computer vision, fine-tuning, RAG, and RLHF, and I enjoy turning complex data into practical, scalable AI applications. I build robust backend microservices (FastAPI, Flask), interactive front-ends (React, TypeScript), and data pipelines (Kafka, Spark, Airflow) deployed on Kubernetes. I’m focused on HIPAA-compliant, high-availability AI systems and collaborate closely with product teams to deliver value for customers.

Chester Hamby

Front-End Developer, Back-End Developer, Full Stack Developer, +6

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Hi, I’m Chester Hamby, a Senior Software Engineer with 12+ years of experience delivering end-to-end ML and software solutions across healthcare, legal, and enterprise domains. I specialize in Large Language Models (LLMs), NLP, computer vision, fine-tuning, RAG, and RLHF, and I enjoy turning complex data into practical, scalable AI applications. I build robust backend microservices (FastAPI, Flask), interactive front-ends (React, TypeScript), and data pipelines (Kafka, Spark, Airflow) deployed on Kubernetes. I’m focused on HIPAA-compliant, high-availability AI systems and collaborate closely with product teams to deliver value for customers.…Hi, I’m Chester Hamby, a Senior Software Engineer with 12+ years of experience delivering end-to-end ML and software solutions across healthcare, legal, and enterprise domains. I specialize in Large Language Models (LLMs), NLP, computer vision, fine-tuning, RAG, and RLHF, and I enjoy turning complex data into practical, scalable AI applications. I build robust backend microservices (FastAPI, Flask), interactive front-ends (React, TypeScript), and data pipelines (Kafka, Spark, Airflow) deployed on Kubernetes. I’m focused on HIPAA-compliant, high-availability AI systems and collaborate closely with product teams to deliver value for customers.

Available to hire

Hi, I’m Chester Hamby, a Senior Software Engineer with 12+ years of experience delivering end-to-end ML and software solutions across healthcare, legal, and enterprise domains. I specialize in Large Language Models (LLMs), NLP, computer vision, fine-tuning, RAG, and RLHF, and I enjoy turning complex data into practical, scalable AI applications.

I build robust backend microservices (FastAPI, Flask), interactive front-ends (React, TypeScript), and data pipelines (Kafka, Spark, Airflow) deployed on Kubernetes. I’m focused on HIPAA-compliant, high-availability AI systems and collaborate closely with product teams to deliver value for customers.

Skills

Experience Level

Expert

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Intermediate

Language

English

Fluent

Work Experience

Senior Software Engineer at Innodata Inc

September 1, 2020 - Present

Led development and deployment of transformer-based NLP services for contract clause extraction using RoBERTa and fine-tuned LLMs (BERT, GPT-style models), integrated with a FastAPI backend serving multiple enterprise clients. Built and maintained a React + TypeScript annotation tool supporting large-scale human-in-the-loop RLHF workflows, improving LLM training data quality. Designed backend microservices (FastAPI, Flask) on Kubernetes to support real-time AI inference and document processing. Developed streaming data pipelines with Kafka and Spark to ingest PDFs, HTML, and JSON documents, normalizing and indexing content into Elasticsearch for fast retrieval. Migrated legacy monolithic apps to a modular React micro-frontend architecture and automated CI/CD with GitLab, Docker, and Kubernetes; established Prometheus/Grafana monitoring and automated retraining with Airflow.

Software Engineer at Augmedix

April 1, 2017 - September 1, 2020

Designed and deployed NLP pipelines for medical transcription and clinical note structuring using spaCy, BiLSTM-CRF, and early transformer architectures. Built text classification and entity recognition systems to extract medical terminologies, diagnoses, and treatment plans from physician-patient conversations, improving EHR documentation accuracy. Developed scalable Python back-end microservices (Flask/FastAPI) on Kubernetes for real-time AI inference in clinical documentation support. Implemented streaming pipelines with Apache Kafka and Spark Streaming to process audio transcripts, feeding structured outputs into PostgreSQL and Elasticsearch. Automated ML workflows with Airflow covering data ingestion, feature engineering, model retraining, and deployment. Enhanced annotation tools with React + TypeScript for scribes, increasing labeling consistency. Established CI/CD with Jenkins and Docker, ensuring HIPAA-compliant workflows.

Software Developer at Oxipit

August 1, 2015 - April 1, 2017

Developed deep learning models for medical image analysis (chest X-ray classification, abnormality detection) using CNNs (ResNet, VGG). Implemented data preprocessing/augmentation with OpenCV and TensorFlow for large DICOM datasets. Built real-time inference services in Python (Flask/FastAPI) for hospital PACS integration. Contributed NLP modules mapping imaging findings to structured descriptions. Collaborated with radiologists to validate outputs and tune metrics (precision, recall, AUC). Created internal dashboards with React + D3.js to visualize predictions and gather radiologist feedback. Established CI/CD with Jenkins and Docker for reliable deployments. Explored transfer learning to accelerate medical imaging training.

Front-End Developer at Alloy.ai

November 1, 2012 - August 1, 2015

Built and maintained interactive dashboards and analytics tools using React, AngularJS, and D3.js. Implemented UI components in JavaScript/TypeScript, improved code reuse, and reduced defects. Worked with backend to integrate REST APIs and WebSocket services for real-time data. Optimized rendering with virtualized tables and lazy loading. Collaborated with product managers to design intuitive interfaces for enterprise users. Implemented automated UI tests with Selenium and Jasmine; migrated legacy jQuery apps to modern React + Redux. Created responsive layouts and data visualization widgets for desktop and tablet.

Intern at Alloy.ai

May 1, 2012 - November 1, 2012

Helped build internal web tools with JavaScript, HTML5, and CSS3; contributed D3.js visualizations for supply chain metrics. Wrote unit tests, debugged features, integrated REST endpoints. Documented code and created onboarding guides. Gained exposure to large-scale data workflows and visualization for predictive analytics.