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Henry Abdullah

@henryabdullah

Message

Senior AI/ML Engineer specializing in Generative AI, RAG systems, and production ML deployment.

United States

Message

What I'm looking for

I’m looking for a team building production-grade Generative AI—RAG/LLM systems, robust ML pipelines, and real MLOps/LLMOps. I want to own end-to-end delivery, improve reliability and latency, and collaborate cross-functionally while mentoring engineers.

I’m a Senior AI/ML Engineer with over 8 years building and deploying production-grade AI and machine learning systems across enterprise and cloud environments. I focus on AI architecture, ML engineering, and generative AI—delivering systems that are reliable, efficient, and measurable.

In my recent role at Tebra, I designed and deployed Generative AI applications using LLMs with RAG pipelines, prompt engineering, and embedding-based semantic search. I built scalable LLM-powered assistants using OpenAI APIs, and integrated solutions into backend services through RESTful APIs using FastAPI.

I’ve led end-to-end pipelines—from data ingestion and feature engineering to model development, deployment, and monitoring—using tools like MLflow and Weights & Biases for experiment tracking and model versioning. I also set up LLMOps/MLOps workflows, deploying inference on AWS with Docker to maintain low latency and high availability.

Previously at Streamline Analytics and NextEra Analytics, I developed real-time fraud detection and healthcare NLP solutions, strengthening my ability to translate complex business problems into practical AI outcomes. I enjoy collaborating across product, data, and engineering teams, and mentoring junior engineers to improve delivery quality and consistency.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

Tebra

Jan 2023 - Present (3 years 4 months)

Designed and deployed generative AI applications using LLMs, implementing RAG pipelines and embedding-based semantic search for enterprise knowledge systems. Built end-to-end ML pipelines with Python, SQL, and PyTorch, and deployed low-latency inference on AWS using Docker and MLOps monitoring workflows.

Generative AI RAG LlamaIndex fastAPI Faiss Pinecone PyTorch AWS Sagemaker MLFlow

AI / ML Engineer

Streamline Analytics

May 2020 - Dec 2022 (2 years 7 months)

Designed and developed real-time fraud detection models for identifying anomalous transaction patterns. Built streaming feature engineering and inference pipelines with Kafka and deployed ML services as FastAPI REST APIs with CI/CD and automated retraining workflows.

Fraud Detection XGBoost LightGBM Apache Kafka scikit learn fastAPI Docker AWS CI CD

Machine Learning Engineer

NextEra Analytics

Aug 2017 - Apr 2020 (2 years 8 months)

Developed NLP-based healthcare solutions for clinical text processing, including entity recognition and document classification. Built predictive models and semantic search systems using embeddings, and created secure, HIPAA-aligned data pipelines for EHR and claims datasets.

SpaCy NLTK Transformer Models Semantic Search Embeddings Supervised Learning predictive modeling HIPAA