Hector Jimenez Email & Phone Number

Manizales, Co

-Leveraged NumPy and Pandas for data manipulation and analysis, along with advanced SQL queries for efficient data extraction.-Designed and orchestrated ETL and ELT pipelines with Apache Airflow, streamlining data workflows for timely analytics.-Created visualizations using Matplotlib and Seaborn to present insights effectively, facilitating data-driven decision-making.-Conducted feature engineering and implemented supervised and unsupervised learning techniques, including model ensemble methods, enhancing model performance.-Deployed machine learning models in production, ensuring seamless integration and robust performance.-Developed a microservices architecture utilizing message brokers for efficient inter-service communication.-Containerized applications using Docker, promoting consistency across environments.-Built and maintained REST APIs with Flask to provide data access for front-end applications, enhancing user interaction.-Conducted load testing to optimize performance and ensure robustness in cloud Linux environments.-Designed user-friendly UI for Machine Learning applications to improve user experience.-Specialized in training neural networks, particularly Convolutional Neural Networks (CNNs) for computer vision tasks.-Explored Natural Language Processing (NLP) with transformers and large language models (LLMs), employing prompt engineering to refine interactions.-Gained hands-on experience in deploying models on AWS, reinforcing skills in cloud-based solutions and end-to-end data science processes.

-Contributed to decentralized protocols and smart contracts on the Ethereum and Starknet blockchains.-Audited smart contracts for security vulnerabilities, ensuring the integrity and robustness of decentralized applications (dApps).-Participated in code reviews, implementing optimizations and best practices for scalable, gas-efficient smart contracts.-Developed, tested, and deployed Ethereum and Starknet-based dApps, focusing on security, functionality, and UX.-Collaborated with decentralized finance (DeFi) and Layer 2 scaling projects, enhancing their security and performance.-Regularly engaged with the Web3 community, contributing to educational materials and discussions on Ethereum and Starknet development and auditing practices.

-Leveraged NumPy and Pandas for data manipulation and analysis, along with advanced SQL queries for efficient data extraction.-Designed and orchestrated ETL and ELT pipelines with Apache Airflow, streamlining data workflows for timely analytics.-Created visualizations using Matplotlib and Seaborn to present insights effectively, facilitating data-driven decision-making.-Conducted feature engineering and implemented supervised and unsupervised learning techniques, including model ensemble methods, enhancing model performance.-Deployed machine learning models in production, ensuring seamless integration and robust performance.-Developed a microservices architecture utilizing message brokers for efficient inter-service communication.-Containerized applications using Docker, promoting consistency across environments.-Built and maintained REST APIs with Flask to provide data access for front-end applications, enhancing user interaction.-Conducted load testing to optimize performance and ensure robustness in cloud Linux environments.-Designed user-friendly UI for Machine Learning applications to improve user experience.-Specialized in training neural networks, particularly Convolutional Neural Networks (CNNs) for computer vision tasks.-Explored Natural Language Processing (NLP) with transformers and large language models (LLMs), employing prompt engineering to refine interactions.-Gained hands-on experience in deploying models on AWS, reinforcing skills in cloud-based solutions and end-to-end data science processes.

Tech Stack: Spring Boot, Angular, React, Next.js, Node.js, Express, NestJS, Golang, AWS, Serverless, Kafka, RabbitMQ, GraphQL, Sockets, gRPC.-Microservices & API Development: Developed and maintained scalable, event-driven microservices using Spring Boot, NestJS, and Golang. Leveraged RabbitMQ and Kafka to ensure reliable communication between services.-Serverless Architecture on AWS: Built highly scalable, cost-efficient serverless applications on AWS using Lambda, API Gateway, DynamoDB, and S3. Integrated various AWS services for seamless, automated deployments.-Frontend Development: Delivered rich, responsive UI using React, Angular, and Next.js to ensure a smooth and interactive user experience across different platforms including PWA (Progressive Web App) development for optimized mobile performance.-Cloud & DevOps: Managed cloud infrastructure on AWS, with a focus on automation, scalability, and high availability. Implemented CI/CD pipelines, leveraging tools like Docker, Kubernetes, and Jenkins for containerized deployments.-Advanced API Communication: Utilized GraphQL, WebSockets, and gRPC to implement real-time, bi-directional communication and optimized data-fetching strategies for improved performance.-Collaborative Agile Environments: Worked closely with cross-functional teams in Agile environments, delivering solutions on time and within scope, while continuously improving code quality and adhering to best practices.-Led the development of comprehensive unit and integration tests to ensure reliability and code quality across various services and applications.

Oracle Next Education, Computer Software Engineering

Next Generation Tech Booster Challenge: Challenge: Front End Developer, Computer Software Engineering

Education record

Education record

Education record

Education record