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Accomplished Senior AI/ML Engineer with 8+ years of experience architecting, implementing, and scaling production-grade AI and machine learning systems in fintech, healthcare, and SaaS environments. Expertise spans generative AI, large language models, retrieval-augmented generation (RAG), agentic systems, multimodal learning, and robust MLOps practices. Delivered end-to-end solutions from data ingestion to deployment on cloud-native infrastructure, consistently driving measurable outcomes such as strengthened fraud prevention, enhanced clinical decision support, and improved operational efficiency. Strong technical leader and mentor adept at aligning advanced AI capabilities with business objectives in remote settings.…Accomplished Senior AI/ML Engineer with 8+ years of experience architecting, implementing, and scaling production-grade AI and machine learning systems in fintech, healthcare, and SaaS environments. Expertise spans generative AI, large language models, retrieval-augmented generation (RAG), agentic systems, multimodal learning, and robust MLOps practices. Delivered end-to-end solutions from data ingestion to deployment on cloud-native infrastructure, consistently driving measurable outcomes such as strengthened fraud prevention, enhanced clinical decision support, and improved operational efficiency. Strong technical leader and mentor adept at aligning advanced AI capabilities with business objectives in remote settings.

Archer Abdullah

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Accomplished Senior AI/ML Engineer with 8+ years of experience architecting, implementing, and scaling production-grade AI and machine learning systems in fintech, healthcare, and SaaS environments. Expertise spans generative AI, large language models, retrieval-augmented generation (RAG), agentic systems, multimodal learning, and robust MLOps practices. Delivered end-to-end solutions from data ingestion to deployment on cloud-native infrastructure, consistently driving measurable outcomes such as strengthened fraud prevention, enhanced clinical decision support, and improved operational efficiency. Strong technical leader and mentor adept at aligning advanced AI capabilities with business objectives in remote settings.…Accomplished Senior AI/ML Engineer with 8+ years of experience architecting, implementing, and scaling production-grade AI and machine learning systems in fintech, healthcare, and SaaS environments. Expertise spans generative AI, large language models, retrieval-augmented generation (RAG), agentic systems, multimodal learning, and robust MLOps practices. Delivered end-to-end solutions from data ingestion to deployment on cloud-native infrastructure, consistently driving measurable outcomes such as strengthened fraud prevention, enhanced clinical decision support, and improved operational efficiency. Strong technical leader and mentor adept at aligning advanced AI capabilities with business objectives in remote settings.

Available to hire

Accomplished Senior AI/ML Engineer with 8+ years of experience architecting, implementing, and scaling
production-grade AI and machine learning systems in fintech, healthcare, and SaaS environments. Expertise
spans generative AI, large language models, retrieval-augmented generation (RAG), agentic systems,
multimodal learning, and robust MLOps practices. Delivered end-to-end solutions from data ingestion to
deployment on cloud-native infrastructure, consistently driving measurable outcomes such as strengthened
fraud prevention, enhanced clinical decision support, and improved operational efficiency. Strong technical
leader and mentor adept at aligning advanced AI capabilities with business objectives in remote settings.

Skills

Language

Work Experience

Senior Machine Learning Engineer at Luma AI

January 1, 2023 - Present

Architected large-scale generative AI platforms using diffusion models and multimodal representation learning for production. Built advanced deep learning pipelines for structured, unstructured, and visual data, including embedding generation and feature extraction. Designed agentic AI systems with LangGraph for multi-step reasoning, tool orchestration, and function calling. Deployed RAG pipelines using vector databases and foundation models (including Anthropic Claude) for grounded outputs. Established LLM evaluation and observability with LangSmith plus statistical validation; developed experimentation and hyperparameter tuning workflows with MLflow. Led end-to-end MLOps on AWS SageMaker including packaging, deployment, low-latency inference optimization, drift detection, and automated retraining, improving performance via quantization, pruning, and ensembles while optimizing cost.

AI/ML Engineer at Marqeta

March 1, 2020 - December 1, 2022

Developed real-time fraud detection and anomaly identification for high-volume payment streams using predictive risk scoring models. Built scalable feature engineering pipelines integrating transactional, behavioral, and streaming data with Apache Kafka and distributed processing. Orchestrated secure ML model deployments across Docker and Kubernetes with REST API integration. Improved inference efficiency with quantization and pruning/hardware-aware optimization. Ensured PCI-DSS compliance using secure data handling, audit logging, and governance controls. Performed rigorous validation including cross-validation, A/B testing, hypothesis testing, and continuous drift monitoring with automated retraining; provided technical documentation and mentoring for production ML operations.

Artificial Intelligence Engineer at Innovaccer

August 1, 2017 - February 1, 2020

Led AI initiatives unifying clinical, operational, and financial healthcare data to enable actionable insights and intelligent decision support. Managed ML pipelines for EHR and claims ingestion, preprocessing, feature engineering, and predictive training. Built NLP solutions for clinical text including medical entity recognition, semantic retrieval, document classification, and summarization using spaCy and NLTK. Developed predictive models for patient risk stratification, care utilization forecasting, and clinical decision support using structured and unstructured data, incorporating early transformer-based approaches and structured prompting with validation frameworks. Applied explainable AI (SHAP, LIME) and implemented HIPAA-compliant security, audit logging, and governance standards; created analytics dashboards for population risk profiling and operational optimization while standardizing evaluation and deployment practices.