MARCUS JOHNSON

AI/ML Engineer: Specialized in developing and deploying AI-driven solutions with a strong focus on Generative-Al, deep learning and natural language processing (NLP). Expertise in AI/ML frameworks and Gen AI Models: Hands-on experience with GPT-40-mini, Llama, LangChain, Llamalndex and Semantic Kernel for building Al applications. Machine learning and Deep Learning: Proficient in computer vision, NLP, LLMs and text/image generation techniques, leveraging PyTorch, TensorFlow and Scikit-Learn, other deep learning and machine learning frameworks. Retrieval Augmented Generation: Built RAG applications, such as vendor-specific bot for retrieving and presenting financial insights. Chatbot Development: Designed, developed, and deployed Al-powered chatbots using LLMs (GPT, Claude, Llama) and frameworks like Dialogflow and LangChain. LLM Deployment and customization: Successfully deployed self-hosted LLMs on Azure VMs, displaying cloud integration skills. Proficient in fine-tuning LLMs for company/domain-specific applications, enhancing their relevance and accuracy for targeted use cases, praticularyly in finance and backoffice operations. Cloud Computing and Big Data: Deployed ML models using AWS and Azure implementing CI/CD pipelines, kubernetes, Docker, and Apache Kafka for real-time data processing. Extensive Data Science and Analytics Experience: Strong background in statistical modeling, machine learning algorithms, algorithm development, Statistics, data preprocessing, feature engineering. Fine-Tuning & optimization: Fine-tuned LLMs (BERT, GPT, T5) for domain-specific use cases, including sentiment analysis, financial document processing, and multimodal Al applications. MLOps and Model Deployment: Hands-on experience with MLFlow, Airflow, FastAPI, and Kubernetes for monitoring, versioning, and scaling ML models. Software Development and DevOps Expertise: Strong proficiency in Git, CI/CD pipelines (Jenkins, GitHub Actions), Docker, Kubernetes, and microservices architecture. Created and implemented frontend and backend services for applications. Automated Al deployments using AWS SAM, AWS CDK, and CloudFormation. Vector Search & Knowledge Retrieval: Worked with FAISS, ChromaDB, graphql for vector-based search and retrieval-augmented generation (RAG). Proficient in Databases: Expertise in working with both SQL databases relational database (PostgreSQL, MySQL) and NoSQL databases (MongoDB, DynamoDB), optimizing data storage, and ensuring high availability and performance. Document Intelligence: Expertise in email attachment analysis and information extraction, particularly for invoices and financial documents. Developed Systems to automatically extract invoices schemas and relevant financial data using advanced LLM techniques. Al Ethics & Compliance: Ensured Al solutions adhere to HIPAA, and Responsible Al guidelines, mitigating bias and ensuring data privacy. Communication, Collaboration Leadership, Agile and Team Development: Excellent communication skills demonstrated through team interactions. Adept at collaborating with cross- functional teams, mentoring junior developers. Experienced in Agile/scrum environments, leveraging sick and Jira for project management.