Open to opportunities

marcus johnson

@marcusjohnson1

Message

Senior AI/ML engineer specializing in Generative AI, NLP, and scalable MLOps solutions.

United States

Message

What I'm looking for

I seek senior AI/ML roles building GenAI and NLP solutions with strong MLOps, cross-functional collaboration, ethical AI practices, and opportunities to mentor teams.

I 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.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

Amazon

Jan 2024 - Present (1 year 9 months)

Spearheaded 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.

Generative AI Lang Chain Pinecone T5 Fine Tuning fastAPI Docker Kubernetes

Machine Learning Engineer

Cognizant Technology Solutions

Apr 2021 - Dec 2023 (2 years 8 months)

Led 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.

GPT 4 Pinecone RoBERTa Sagemaker MLFlow Airflow Prompt Engineering

Machine Learning Engineer

Accenture

Feb 2018 - Mar 2021 (3 years 1 month)

Developed 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.

BERT NLP SpaCy fastAPI Azure Kubernetes Service MLFlow Databricks

Machine Learning Engineer

Infosys

Aug 2015 - Jan 2018 (2 years 5 months)

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.

Random Forest Anomaly Detection Apache Spark Kafka Snowflake

Education

Degrees, certifications, and relevant coursework

University of Texas at Dallas

Master 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.

University of Texas at Austin

Bachelor 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.