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* [Overview](#overview)
* [Portfolio](#portfolio)

## About Me

I am a Senior Machine Learning Engineer with 14+ years of experience building production AI systems that solve real business problems. My work has focused on GenAI, LLM inference, multi-agent architectures, RAG pipelines, and applied machine learning in regulated environments.

I have spent much of my career working at the intersection of advanced ML and strong engineering discipline. I care about shipping systems that are reliable, observable, secure, and maintainable, not just impressive in demos.

My background includes healthcare, fintech, fraud detection, and lending compliance. I have built solutions that support clinical triage, credit underwriting, and real-time fraud detection, with a strong emphasis on safety, explainability, and operational readiness.

I own the full stack of ML delivery, from model selection and fine-tuning through API design, MLOps, deployment, and production monitoring. I am comfortable working across Python, AWS, Docker, Kubernetes, Terraform, and modern LLM tooling.

I enjoy designing systems that are privacy-conscious and production-ready, including offline and local-first architectures. I have experience building secure, auditable workflows with strict validation and traceability requirements.

I work well independently, communicate clearly across technical and non-technical teams, and I am looking for a remote-first role where I can contribute meaningful work on challenging AI systems.

## Skills

### [Python](https://jobicy.com/talent/python.md)[SQL](https://jobicy.com/talent/sql.md)[AWS](https://jobicy.com/talent/aws.md)[Kubernetes](https://jobicy.com/talent/kubernetes.md)[Docker](https://jobicy.com/talent/docker.md)[Terraform](https://jobicy.com/talent/terraform.md)[PostgreSQL](https://jobicy.com/talent/postgresql.md)[Kafka](https://jobicy.com/talent/kafka.md)[A B Testing](https://jobicy.com/talent/a-b-testing.md)[Jenkins](https://jobicy.com/talent/jenkins.md)[Grafana](https://jobicy.com/talent/grafana.md)[Prometheus](https://jobicy.com/talent/prometheus.md)[GitHub Actions](https://jobicy.com/talent/github-actions.md)[REST](https://jobicy.com/talent/rest.md)[TensorFlow](https://jobicy.com/talent/tensorflow.md)[EMR](https://jobicy.com/talent/emr.md)[S3](https://jobicy.com/talent/s3.md)[scikit learn](https://jobicy.com/talent/scikit-learn.md)[Lambda](https://jobicy.com/talent/lambda.md)[NLP](https://jobicy.com/talent/nlp.md)[Redshift](https://jobicy.com/talent/redshift.md)[Helm](https://jobicy.com/talent/helm.md)[gRPC](https://jobicy.com/talent/grpc.md)[fastAPI](https://jobicy.com/talent/fastapi.md)[OAuth](https://jobicy.com/talent/oauth.md)[RDS](https://jobicy.com/talent/rds.md)[EKS](https://jobicy.com/talent/eks.md)[Prompt Engineering](https://jobicy.com/talent/prompt-engineering.md)[API Gateway](https://jobicy.com/talent/api-gateway.md)[ArgoCD](https://jobicy.com/talent/argocd.md)[GitOps](https://jobicy.com/talent/gitops.md)[OpenSearch](https://jobicy.com/talent/opensearch.md)[Cloudwatch](https://jobicy.com/talent/cloudwatch.md)[Kinesis](https://jobicy.com/talent/kinesis.md)[Athena](https://jobicy.com/talent/athena.md)[Anomaly Detection](https://jobicy.com/talent/anomaly-detection.md)[Glue](https://jobicy.com/talent/glue.md)[LlamaIndex](https://jobicy.com/talent/llamaindex.md)[Semantic Search](https://jobicy.com/talent/semantic-search.md)[Pydantic](https://jobicy.com/talent/pydantic.md)[Gradient Boosting](https://jobicy.com/talent/gradient-boosting.md)[ECR](https://jobicy.com/talent/ecr.md)[Scrapy](https://jobicy.com/talent/scrapy.md)[BeautifulSoup](https://jobicy.com/talent/beautifulsoup.md)[Model Versioning](https://jobicy.com/talent/model-versioning.md)[SparkML](https://jobicy.com/talent/sparkml.md)[SHAP](https://jobicy.com/talent/shap.md)[Pgvector](https://jobicy.com/talent/pgvector.md)[Model Context Protocol](https://jobicy.com/talent/model-context-protocol.md)[AWQ](https://jobicy.com/talent/awq.md)

## Experience

Senior Machine Learning Engineer @ Excella  May 2018 - Jun 2026 Built production GenAI and ML systems across privacy-first LLM inference, healthcare triage, and credit underwriting. Led architecture, API design, MLOps, deployment, observability, and secure multi-agent workflows.

Machine Learning Engineer @ Perficient  Feb 2012 - Apr 2018 Built real-time fraud detection and healthcare ML systems using Python, scikit-learn, TensorFlow, AWS, Spark, Kafka, and Kubernetes. Focused on feature engineering, model serving, monitoring, and production reliability.

## Education

Stratford University  2008 - 2012  Bachelor of Science, Information Technology

Bachelor's degree in Information Technology.

Portfolio not available.

Services not available.