I build things that
Hi, I'm Anthony Carnevale — a data scientist and full-stack developer. I architect data pipelines, cloud infrastructure, and modern web applications. Currently open to new opportunities.
Hi, I'm Anthony Carnevale — a data scientist and full-stack developer. I architect data pipelines, cloud infrastructure, and modern web applications. Currently open to new opportunities.
I'm a software engineer with experience across applied ML, data platforms, and web applications—biased toward work that holds up in production. A concise map of those areas follows.
Classical ML, deep learning, and LLM APIs brought online with the same rigor as backend systems: latency, monitoring, and straightforward maintenance.
Models exposed behind APIs and streaming-style updates when stakeholders need fresher numbers—Redis, WebSockets, or similar patterns for operational dashboards and near real-time metrics.
Workflows with TensorFlow, PyTorch, Scikit-learn, and Hugging Face; serving approaches that stay simple to operate when inference has tight latency budgets.
Text-focused ML and LLM integrations (including vendor APIs such as OpenAI) wired through clear contracts—batch or online—without over-building around a single headline demo.
Scheduled Python jobs on cloud VMs ingesting and transforming large datasets into Redis, MongoDB, and relational stores, with logging and retries suited to production schedules.
Warehousing, orchestration, and migrations with a focus on dependable pipelines and clear operational ownership.
Snowflake workloads, performance tuning, and DBT models that encode business logic and keep analytics outputs consistent and auditable for large organizations.
Apache Airflow DAGs across distributed dependencies, plus ETL into enterprise warehouses. Event-driven and queue-backed batch jobs where workflows need to scale and recover cleanly.
AWS Lambda and related services to reduce undifferentiated ops; patterns that pair well with RDS, Aurora, S3, and the rest of a typical AWS data footprint.
Planning and executing migrations with an eye on downtime and compatibility across PostgreSQL, MongoDB, Redis, Elasticsearch, Kafka, and traditional SQL environments.
Interfaces, services, and delivery practices—from enterprise Angular and .NET through React and Node—with peer review and mentoring when teams are distributed.
React, Angular, and Vue for dynamic UIs; Astro, Tailwind CSS, and solid HTML/CSS foundations with attention to performance and accessibility.
.NET Core and ASP.NET services, Node.js and Python stacks (Django, Flask, FastAPI), REST and GraphQL APIs, and integrations across diverse client environments.
Live dashboards and low-latency UIs using WebSockets and Redis where appropriate; React Native for cross-platform work and coordination with mobile-focused teams when backends span platforms.
Docker, Kubernetes, Terraform, Jenkins, and Git-based workflows on AWS, Azure, GCP, and Heroku—deployment pipelines and IaC that match how cloud-native teams ship.
I'm currently available for full-time roles and select freelance projects.