marcus johnson
@marcusjohnson1
Senior AI/ML Engineer specializing in Generative AI and production MLOps.
United StatesWhat I'm looking for
I am a senior AI/ML engineer with deep expertise in generative AI, large language models, and production MLOps. I design, fine-tune, and deploy domain-specific LLM solutions—particularly for legal, financial, and back-office use cases—delivering measurable reductions in manual work and improved model relevance.
My hands-on experience includes building RAG systems, custom embedding workflows, OCR-enabled document pipelines, and scalable inference services using Docker, Kubernetes, AWS, and Azure. I have led cross-functional efforts at Amazon, Cognizant, Accenture, and Infosys, creating production-grade ML platforms and mentoring teams.
I prioritize compliance, explainability, and reliability in AI systems, applying Responsible AI practices and monitoring frameworks while enabling non-technical users through clean APIs and user-facing apps.
Experience
Work history, roles, and key accomplishments
AMSpearheaded a Generative AI platform for automated legal document review, reducing manual analysis time by 60% and deploying scalable RAG pipelines with Bedrock, LangChain, and Pinecone.
CSLed architecture and delivery of a Generative AI customer support assistant integrating GPT-4 with CRM data, improving resolution times by 40% and implementing an MLOps platform for 12+ production models.
ACDeveloped a BERT-based legal document classification system achieving a 94% F1-score and deployed NLP extraction microservices on Azure Kubernetes Service with monitoring and autoscaling.
Built predictive maintenance and anomaly detection solutions using LSTM and Random Forest, reducing downtime by 22% and implementing streaming pipelines with Spark and Kafka.
Education
Degrees, certifications, and relevant coursework
UDUniversity of Texas at Dallas
Master of Science, Computer Science
Completed a Master of Science in Computer Science with focus on machine learning and AI-related coursework.
UAUniversity of Texas at Austin
Bachelor of Science, Computer Science
Earned a Bachelor of Science in Computer Science covering foundational algorithms, systems, and software development.
Tech stack
Software and tools used professionally
Apache Spark
Dialogflow
GitHub
Kubernetes
Azure Kubernetes Service
Jenkins
GitHub Actions
Jupyter
DB
MySQL
PostgreSQL
MongoDB
Gmail
Databricks
Titan
Jira
JavaScript
Java
TensorFlow
PyTorch
MLflow
scikit-learn
Streamlit
Kafka
FastAPI
GraphQL
AWS Lambda
Airflow
s3-lambda
SQL
Hugging Face
LangChain
LlamaIndex
ChromaDB
Pinecone
Score
Bash
Faiss
PEFT
Dynamic
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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