Available to hire
Hi, I’m Anthony, a Senior Full Stack Engineer with about 7 years of experience specializing in Python and building scalable, high-performance software solutions. I have a strong passion for combining backend development with AI technologies like TensorFlow, Keras, and advanced NLP and computer vision frameworks to deliver intelligent and impactful platforms.
I enjoy architecting clean and modular systems, optimizing performance, and working on innovative projects that blend real-time AI capabilities with robust backend logic. Whether it’s creating AI-driven music tools or healthcare applications, I love developing solutions that make a real difference.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
English
Fluent
Work Experience
Senior Full Stack AI/ML Engineer at Splash, BR, QLD, AU
May 31, 2025 - July 10, 2025Developed secure and scalable enterprise applications using Python (Django) powering music creation tools and customer-facing platforms. Designed robust backend services following clean architecture principles, involving dependency injection and repository patterns. Built event-driven microservices with FastAPI and RabbitMQ for asynchronous high-volume music data processing and real-time AI music delivery. Implemented secure authentication with Django Rest Framework, OAuth2, and JWT. Developed real-time music applications using WebSockets and FastAPI enabling live collaboration. Migrated legacy systems to modern Python-based services. Managed background job systems with Celery and Redis. Integrated machine learning models via gRPC for orchestration between AI music creation and business logic. Deployed GPU-accelerated music generation services with FastAPI and Docker for low-latency endpoints.
Senior Full Stack AI/ML Engineer at Splash, BR, QLD, AU
May 31, 2025 - July 10, 2025Developed distributed ETL pipelines using Python and Databricks for structured music data feeding AI models. Utilized Django ORM, SQLAlchemy, and PostgreSQL for data consistency and performance. Led CI/CD strategy using GitLab CI and Azure DevOps for automated testing, container builds, and deployments. Built and deployed LLM-based services for NLP tasks like lyrics generation and sentiment analysis. Fine-tuned AI models using PyTorch, TensorFlow, and Hugging Face. Applied advanced NLP techniques such as prompt tuning and genre classification. Created chatbot systems using AWS Lex and Bedrock integrated with FastAPI and Node.js. Extended GIS systems with custom Python SDK add-ins for music event management. Architected ML pipelines on GCP Vertex AI and Azure ML with integrated CI/CD workflows. Spearheaded optimization and refactoring efforts to improve system stability and performance.
Full Stack AI/ML Engineer at Freenome, South San Francisco, CA
May 31, 2023 - July 10, 2025Developed secure healthcare modules using Python, Django, and DRF managing EHRs and patient records with compliance to HIPAA and GDPR. Built scalable real-time APIs using FastAPI and GraphQL for clinician portals and healthcare platforms. Engineered microservices with FastAPI and async I/O streaming AI-driven clinical insights. Integrated ML inference pipelines using gRPC supporting high-throughput clinical workflows. Deployed AI workloads on Kubernetes with GPU acceleration and CI/CD automation using Jenkins and GitLab CI. Developed advanced NLP pipelines with spaCy and Hugging Face for structured clinical data extraction. Fine-tuned LLMs for triage classification and diagnosis support using prompt engineering. Created cost forecasting models using XGBoost and scikit-learn with over 85% accuracy. Achieved high accuracy (97%) on imaging diagnostics using CNNs in PyTorch. Led migration to microservices architecture improving modularity and deployment speed.
ML Engineer at Intel, Santa Clara, CA
September 30, 2020 - July 10, 2025Developed and deployed ML models for legal document classification, clause extraction, and metadata tagging using scikit-learn, PyTorch, and TensorFlow. Designed NLP models for sentiment analysis, NER, and summarization with Hugging Face Transformers improving retrieval precision. Built legal case prediction models optimizing deep learning architectures. Engineered speech-to-text pipelines tailored for courtroom data improving transcription quality. Enabled offline mobile app access embedding TensorFlow Lite models in Flask microservices. Improved training reliability through profiling tools reducing failures by over 30%. Collaborated with data engineering teams designing scalable ETL pipelines with Python and Airflow. Integrated ML inference services into FastAPI and Flask REST APIs providing secure real-time legal insights. Managed Kubernetes deployments and GitLab CI automation to streamline ML workloads. Delivered AI explainability using SHAP, LIME, and audit logs to support compli
Senior Full Stack AI/ML Engineer at Splash, BR, QLD, AU
May 31, 2025 - July 10, 2025Developed secure and scalable enterprise applications using Python and Django, powering music creation tools and customer-facing platforms. Designed robust backend services for music generation and collaboration using clean architecture principles. Built event-driven microservices with FastAPI and RabbitMQ for asynchronous high-volume music processing and real-time AI-generated music delivery. Implemented secure user authentication with OAuth2 and JWT. Developed real-time music applications with WebSockets enabling live collaboration. Migrated legacy systems to modern Python-based services, reducing technical debt. Built job processing using Celery and Redis. Integrated ML models via gRPC. Deployed GPU-accelerated music generation services providing low-latency REST and gRPC endpoints.
Senior Full Stack AI/ML Engineer at Splash, BR, QLD, AU
May 31, 2025 - July 10, 2025Developed distributed ETL pipelines using Python and Databricks, feeding data into reporting dashboards and AI models for song creation. Utilized Django ORM, SQLAlchemy, and PostgreSQL for relational data operations. Led CI/CD strategy with GitLab CI and Azure DevOps. Built and deployed LLM-based services for NLP tasks like lyrics generation and sentiment analysis using GPT, BERT, FLAN-T5. Fine-tuned models with PyTorch, TensorFlow, and Hugging Face, integrating AI music services into backend. Applied advanced NLP techniques such as prompt tuning and genre-specific classification. Created AI chatbots with AWS Lex and Bedrock orchestrated via FastAPI and Node.js. Extended GIS systems for music event management. Architected ML pipelines using GCP Vertex AI and Azure ML with enterprise CI/CD workflows. Spearheaded performance optimization for real-time music platforms.
Full Stack AI/ML Engineer at Freenome, South San Francisco, CA
May 31, 2023 - July 10, 2025Developed secure healthcare modules with Python and Django ensuring HIPAA and GDPR compliance. Built real-time scalable APIs with FastAPI and GraphQL for clinician portals and mobile apps. Engineered microservices streaming AI clinical insights using FastAPI with WebSockets and async I/O. Integrated ML inference pipelines with gRPC supporting clinical workflows. Deployed AI workloads on Kubernetes with GPU acceleration for fault tolerance. Implemented CI/CD pipelines automating model training and deployment using Jenkins and GitLab CI. Containerized inference services with Docker and Helm. Designed ML pipelines on Azure ML and GCP Vertex AI for clinical model lifecycle. Built advanced NLP pipelines using spaCy and Hugging Face Transformers to extract data from unstructured clinical notes, cutting manual processing over 30%. Applied prompt engineering and fine-tuned LLMs for clinical tasks. Built cost forecasting models using XGBoost with over 85% accuracy. Achieved 97% accuracy on imag
ML Engineer at Intel, Santa Clara, CA
September 30, 2020 - July 10, 2025Developed and deployed ML models for legal document classification and metadata tagging using scikit-learn, PyTorch, and TensorFlow, reducing manual workload. Designed NLP models for sentiment analysis, NER, and summarization using Hugging Face Transformers, improving retrieval precision. Built legal case prediction models optimizing deep learning architectures. Engineered speech-to-text pipelines tailored for courtroom audio improving transcription quality. Enabled offline legal document access in mobile apps using TensorFlow Lite models in Flask microservices. Improved ML training stability via profiling tools, reducing training failures by 30%. Partnered with data engineering to build scalable ETL pipelines using Python and Apache Airflow. Integrated ML inference into FastAPI and Flask APIs providing legal insights. Defined production-ready API contracts using FastAPI with Pydantic. Deployed ML workloads into Kubernetes clusters with GitLab CI automations. Delivered AI explainabilit
Senior Full Stack AI/ML Engineer at Splash, BR, QLD, AU
May 31, 2025 - July 10, 2025Developed secure and scalable enterprise applications using Python (Django), powering music creation tools and customer platforms. Designed robust backend services for music generation and collaboration using clean architecture and various patterns. Built event-driven microservices with Python (FastAPI) and RabbitMQ for asynchronous, high-volume music data processing and real-time AI-generated music delivery. Implemented secure authentication with Django Rest Framework, OAuth2, and JWT. Developed real-time music applications using WebSockets for live collaboration. Migrated legacy systems to modern Python services, reducing technical debt. Built job processing with Celery and Redis, integrated machine learning models into backends via gRPC. Deployed GPU-accelerated music generation services using FastAPI and Docker providing low-latency REST and gRPC endpoints.
Full Stack AI/ML Engineer at Freenome, South San Francisco, CA
May 31, 2023 - July 10, 2025Developed secure healthcare modules with Python, Django, and DRF ensuring HIPAA and GDPR compliance. Built real-time scalable APIs using FastAPI and GraphQL for clinician portals and mobile apps. Engineered real-time microservices streaming AI clinical insights. Integrated ML pipelines with Django/FastAPI backends via gRPC. Deployed AI workloads on Kubernetes with GPU acceleration with robust scaling. Implemented CI/CD pipelines automating model training and deployments. Developed advanced NLP pipelines with spaCy and Hugging Face, reducing manual processing time. Applied prompt engineering and fine-tuned LLMs for clinical tasks. Developed cost forecasting models achieving over 85% accuracy. Achieved 97% accuracy on imaging diagnostics using CNNs in PyTorch. Modernized systems by migrating to Django microservices with React frontends improving deployment speed by 25%. Created dynamic healthcare dashboards with ArcGIS Maps SDK and maintained secure Git workflows supporting multi-team pr
ML Engineer at Intel, Santa Clara, CA
September 30, 2020 - July 10, 2025Developed machine learning models for legal document classification, clause extraction, and metadata tagging using scikit-learn, PyTorch, and TensorFlow. Designed domain-specific NLP models for sentiment analysis, NER, and summarization utilizing Hugging Face Transformers. Built legal case prediction and document relevance models optimizing deep learning architectures. Engineered speech-to-text pipelines tailored for courtroom audio with phonetic modeling and language adaptation. Enabled offline legal document access in mobile apps embedding TensorFlow Lite models in Flask microservices. Improved ML training stability via profiling tools reducing failures over 30%. Partnered with data engineering to design scalable ETL pipelines. Integrated ML inference into FastAPI and Flask REST APIs providing real-time legal insights. Delivered AI explainability using SHAP, LIME supporting legal compliance. Collaborated with legal SMEs and product teams to design intelligent contract analysis tools.
Education
Bachelor’s Degree at Valencia College, Orlando
April 1, 2015 - August 31, 2018Bachelor’s Degree at Valencia College, Orlando
April 1, 2015 - August 31, 2018Bachelor’s Degree at Valencia College, Orlando
April 1, 2015 - August 31, 2018Qualifications
Industry Experience
Software & Internet, Media & Entertainment, Healthcare, Life Sciences, Financial Services, Professional Services
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Hire a Web Developer
We have the best web developer experts on Twine. Hire a web developer in Orlando today.