Jesse Lucus

- Architected and deployed production-grade AI/ML infrastructure supporting intelligent game mechanics, processing 50K+ concurrent API requests with sub-100ms latency.
- Designed and implemented RAG (Retrieval-Augmented Generation) pipelines using LangChain, vector embeddings, and distributed semantic search, achieving 92% relevance accuracy in context retrieval.
- Built LLM integration layers supporting multiple model providers, implementing fallback strategies and cost optimization resulting in 35% reduction in inference costs.
- Engineered scalable vector database infrastructure using Pinecone and PostgreSQL, supporting real-time similarity search across 10M+ document embeddings with sub-50ms query latency.
- Implemented MLOps automation for model versioning, A/B testing, and monitoring, enabling safe deployment of weekly model updates with zero production incidents.
- Developed comprehensive prompt engineering frameworks and fine-tuning pipelines for domain-specific AI model optimization, improving task-specific accuracy by 28%.

Technologies: Python, FastAPI, LangChain, TensorFlow, PyTorch, LLMs (GPT-4, Claude, Llama), RAG, Vector Databases, PostgreSQL, AWS (SageMaker, EC2, S3), Docker, Kubernetes, Redis, Prometheus, Grafana, MLflow, TypeScript, React, Next.js

- Architected and deployed a decentralized finance (DeFi) application that secured $5M in assets under management within the first three months post-launch, showcasing advanced smart contract development and deployment skills.
- Optimized blockchain transaction throughput by 40% through meticulous network and protocol enhancements, significantly reducing gas fees and improving user transaction experience.
- Developed and integrated a multi-signature wallet system that enhanced security for cryptocurrency transactions, resulting in a 90% reduction in unauthorized access incidents.
- Developed decentralized social media web applications using React, SCSS, Bootstrap, web3.js, and Ether.js for integrating Ethereum.
- Reduced costs by 40% using an Ethereum smart contract to automate supply chain management processes.

Technologies: React, Next.js, Typescript, Redux, Material UI, Tailwind CSS, Rust, Golang, Ethereum, Binance, Web3, DeFi, Layer-1, Layer-2, PostgreSQL, AWS, GraphQL, GitLab, Docker, Scrum, Jira

- Developed the development of a patient data management system which improved data retrieval times by 40%, by integrating Angular with a backend, ensuring seamless data flow across the platform.
- Spearheaded the migration of legacy systems to microservices, reducing system downtimes by 30% and improving the scalability of backend services using Docker and Kubernetes.
- Implemented continuous integration and deployment pipelines with Jenkins and Git, which enabled the team to release updates 75% faster and with a 90% reduction in deploymentrelated errors.
- Designed a proactive system monitoring strategy using Prometheus and Grafana, which decreased unexpected downtime by 60% and allowed for real-time performance tracking.
- Led the development and implementation of robust web applications, contributing to the successful launch of multiple products in a dynamic startup environment.

Technologies: Angular, NgRx, RxJS, SASS/SCSS, Bootstrap, Java Spring Boot, MongoDB, BitBucket, GraphQL, CI/CD, Jenkins, Azure, Scrum, Trello

- Developed and maintained web applications using React, HTML, SASS/SCSS, and JavaScript.
- Created SPAs with multiple views using route services and developed/tested features in an AGILE environment using React.
- Created single Page Application with loading multiple views using route services and adding more user experience to make dynamic by using React framework.
- Developed reusable components and services that improved code efficiency by 20%.
- Worked on Jenkins for CI/CD and for End to End automation for all build and deployments.

Technologies: React, SASS/SCSS, jQuery, Ajax, Bootstrap 3, BitBucket, CI/CD, Jenkins, AWS S3, EC2, Scrum, Jira