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@marcusjohnson1
Senior AI/ML engineer specializing in Generative AI, NLP, and scalable MLOps solutions.
United StatesI am a Senior AI/ML Engineer with deep expertise in Generative AI, NLP, computer vision, and deploying production-grade models across cloud platforms. I have repeatedly delivered domain-specific LLM solutions—legal, financial, and customer support—that reduced manual work and improved accuracy.
My hands-on experience spans model development, fine-tuning (PEFT), RAG architectures, vector search (Pinecone, FAISS), and MLOps using Docker, Kubernetes, MLflow, and Airflow. I build end-to-end pipelines including ingestion, OCR, embeddings, semantic retrieval, and inference endpoints to enable non-technical users to interact with ML systems.
I collaborate closely with cross-functional teams to ensure compliance, explainability, and business alignment, and I mentor engineers to scale organizational AI capabilities. I seek roles where I can lead impactful GenAI projects and drive robust, ethical model deployment at scale.
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Work history, roles, and key accomplishments
AMSpearheaded development of a Generative AI platform for automated legal document review, reducing manual analysis time by 60% and improving domain relevance via fine-tuned T5 models. Built scalable ingestion, embedding, and RAG pipelines using Bedrock, LangChain, and Pinecone, and deployed inference services with Docker and Kubernetes.
CSLed architecture of a Generative AI customer support assistant for a top U.S. bank, integrating GPT-4 with CRM data to improve resolution times by 40% and delivered reusable prompt optimization and MLOps platforms. Implemented real-time intent detection models and mentored junior engineers.
ACDeveloped a BERT-based legal document classification system achieving a 94% F1-score and built NLP extraction pipelines with OCR and SpaCy, deployed as microservices on Azure Kubernetes Service with monitoring and autoscaling.
Built predictive maintenance solutions using LSTM and Random Forest, reducing downtime by 22%, and implemented anomaly detection pipelines and streaming ingestion with Spark and Kafka for manufacturing clients.
Degrees, certifications, and relevant coursework
UDMaster of Science, Computer Science
Master of Science in Computer Science completed at the University of Texas at Dallas with focus on advanced computer science topics and AI/ML techniques.
UABachelor of Science, Computer Science
Bachelor of Science in Computer Science completed at the University of Texas at Austin with foundational training in algorithms, systems, and software development.
Software and tools used professionally
United StatesYou can contact marcus and 90k+ other talented remote workers on Himalayas.
Message marcusMARCUS JOHNSON
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