Open to opportunities

MARCUS JOHNSON

@marcusjohnson

Message

AI/ML Engineer specializing in Generative AI and deep learning.

United States

Message

What I'm looking for

I am seeking a role that fosters innovation in AI, encourages collaboration, and offers opportunities for professional growth.

I am an AI/ML Engineer with a strong focus on developing and deploying AI-driven solutions, particularly in Generative AI, deep learning, and natural language processing (NLP). My expertise spans various AI/ML frameworks and models, including hands-on experience with GPT-4, Llama, and LangChain, which I have utilized to build innovative AI applications.

Throughout my career, I have successfully led projects that significantly improved operational efficiency, such as developing a Generative AI platform for automated legal document review at Amazon, which reduced manual analysis time by 60%. My background also includes architecting customer support assistants and deploying scalable ML models using cloud platforms like AWS and Azure, ensuring high availability and performance.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

Amazon

Jan 2024 - Present (1 year 6 months)

Spearheaded the development of a Generative AI platform for automated legal document review using Amazon Bedrock (Claude V2), LangChain, and Pinecone, reducing manual analysis time by 60%. Engineered custom embedding workflows with Amazon Titan Embeddings and stored vectors in Pinecone Vector Store to enable scalable semantic retrieval for Retrieval-Augmented Generation (RAG).

Generative AI Lang Chain Pinecone Amazon Titan Embeddings Retrieval Augmented Generation (RAG)fastAPI Docker Kubernetes AWS Lambda MLOps

Machine Learning Engineer / AI Consultant

Cognizant Technology Solutions

Apr 2021 - Dec 2023 (2 years 8 months)

Led the architecture of a Generative AI-based customer support assistant for a top U.S. bank, integrating OpenAI GPT-4 with internal CRM data using LangChain and Pinecone, improving resolution times by 40%. Designed and implemented an MLOps platform using Airflow + SageMaker + MLflow, managing lifecycle, deployment, and monitoring for 12+ production models.

Generative AI OpenAI GPT 4 Lang Chain Pinecone RoBERTa Airflow Sagemaker MLFlow SHAP LLM

Machine Learning Engineer

Accenture

Feb 2018 - Mar 2021 (3 years 1 month)

Developed a legal document classification system using BERT for a global law firm; achieved F1-score of 94% across multi-label categories. Deployed models as microservices with FastAPI, served on Azure Kubernetes Service with full monitoring and autoscaling.

BERT NLP SpaCy fastAPI Azure Kubernetes Service Databricks MLFlow Microservices

Machine Learning Engineer / Data Scientist

Infosys

Aug 2015 - Jan 2018 (2 years 5 months)

Developed predictive maintenance models for IoT-based manufacturing clients using LSTM and Random Forest, reducing downtime by 22%. Managed batch and streaming data ingestion pipelines using Apache Spark, Kafka, and Snowflake for data warehousing.