Software Engineer with experience in systems architecture, cloud computing, and machine learning. Development of scalable, high-performance applications and management of infrastructures to improve system performance and results.
– Architecture and management of cloud infrastructures for financial data processing, newsletter publishing, streaming services, and API integrations.
– Collaboration with executives to align technical solutions with business goals and inform strategic decisions.
– Mentoring of junior software engineers and promotion of best practices across the team.
Technologies: Python, Java, JavaScript, HTML, PHP. IntelliJ, Pycharm, VSCode, DataGrip, DBeaver. AWS, EC2, ECS, ECR, SES, Lambda, Load Balancers, Target Groups, Route 53, CloudFront, CodePipeline, Data Pipeline, MWAA Airflow, Amazon MQ, RabbitMQ, CloudWatch, CloudTrail, Datadog, S3, RDS, ElastiCache. PostgreSQL, MongoDB, Redis, Elasticsearch. S&P Xpressfeed, Barchart, CoinGecko.
– Development of full-stack applications for supply chain replenishment systems, optimizing workflows and enhancing user experience.
Technologies: Python, Java, JavaScript, Kotlin. React, Node.js. GCP, Airflow, Dataflow, BigQuery, AppEngine, GKE. Teradata. TeamCity.
– Development of applications to integrate with broadcasting equipment and IP/SDI workflows, enhancing live production systems.
– Creation of touchscreen applications and in-house tools that connected with sports APIs, improving TV newsroom production with real-time statistics and features.
– Research in computer vision, developing a live object tracking system for soccer players to deliver real-time positional data.
– Mentoring of analysts and engineers, helping them transition into the development of software for broadcasting applications.
Technologies: C#, Java, Python, PHP, Javascript, HTML. Visual Studio Blend, NetBeans, VSCode. MySQL, Firebird. WPF, Windows Forms, OpenCV, TensorFlow, .NET, JavaFX.
Hands-on experience in Computer Vision, Deep Learning, and Sensor Fusion.
Honors: First Place Award for Bachelor Thesis on predictive modeling with neural networks.
Honors: IIE-sponsored scholarship for academic excellence in industrial engineering studies. Dean’s List.
Engineering of production-grade software with real-time data capabilities, leveraging on-premise servers, CDNs, and multi-layer caching for optimal performance and scalability.
Design and implementation of secure network architectures, integrating custom security measures and data distribution systems across cloud and on-premise environments.
Technologies: Python, JavaScript, AWS (EC2, Lambda, S3), PostgreSQL, MongoDB, Redis, Docker, CDNs, on-premise infrastructure.
Core Competencies
Specialized Expertise
Tools & Environments
Languages
Explore projects to see these technologies in action, or contact me at lucas@lucascmeyer.com to discuss.