Job Url: https://us.smartapply.indeed.com/beta/indeedapply/form/resume Job Description: Python Solutions Developer Essex Mortgage - Ocala, FL See more details Save and close Progress: 38% of the form completed Add a resume for the employer Add a resume for the employer Maxwell_Reshel-AI Developer – Models & Data Pipelines-BetterTracker.pdf Uploaded today page 1 of 2 page1 of 2 M a x w e l l E d w a r d R e s h e l S e n i o r S o f t w a r e E n g i n e e r Long Beach, CA, 90802 | (562) 276-0266 | maxshel.dev0709@gmail.com | https://www.linkedin.com/in/maxwelledwaradreshel/ P R O F E S S I O N A L S U M M A R Y Experienced Software Engineer specializing in AI and Machine Learning solutions, proficient in designing and developing robust data pipelines and modeling frameworks to maximize system performance and scalability. S K I L L S • Programming Languages: Python, JavaScript, SQL • Machine Learning Technologies: TensorFlow, PyTorch, scikit-learn • Data Engineering: ETL, Apache Airflow, Pandas • Cloud Platforms: AWS, GCP, Azure, SageMaker • AI Services & Frameworks: OpenAI, Hugging Face, LangChain, Pinecone • Containerization & Orchestration: Docker, Kubernetes • Database Technologies: PostgreSQL, MongoDB, MySQL • Data Management Tools: Apache Kafka, Apache Spark, Tableau W O R K E X P E R I E N C E Major League Baseball, NYC, Remote – Senior Software Engineer Dec 2020 – Current • Architected and deployed scalable ML models for recommendation systems utilizing TensorFlow and scikit-learn, improving user engagement by 30%. • Designed and implemented robust ETL pipelines using Apache Airflow which streamlined data extraction from various sources and optimized processing time by 40%. • Collaborated with cross-functional teams to establish data governance practices utilizing Apache Kafka, ensuring high data quality maintained across the data lifecycle. • Developed custom NLP models for semantic analysis and classification tasks using PyTorch, which enhanced service efficiency by reducing response times by 25%. • Integrated third-party AI services such as OpenAI and Hugging Face to enhance existing systems' capabilities, significantly expanding functional scopes. • Managed deployment of machine learning models on AWS SageMaker, orchestrating seamless transitions between development, testing, and production environments. • Monitored and fine-tuned ongoing AI models performance using custom dashboards built with Tableau, ensuring models consistently met accuracy metrics. • Utilized Docker for containerization to improve the development workflow of AI applications, reducing environment inconsistencies across teams. • Led architecture discussions on new programming practices to implement best practices in data engineering and AI solutions, fostering a culture of continuous improvement. • Conducted code reviews and provided mentorship to junior developers emphasizing the importance of building clean, maintainable, and reusable code within Python projects. • Developed documentation and technical designs for AI projects, ensuring clarity on methodologies employed and achieved objectives for all stakeholders. • Spearheaded initiatives to incorporate MLOps using tools like MLflow to streamline the deployment process and improve collaboration between teams while ensuring operational efficiency. page2 of 2 • Enhanced operational systems by implementing advanced features via vector databases and embedding models, leading to a more responsive system architecture. Wawanesa Group, San Diego, CA- Software Engineer May 2017 – Nov 2020 • Engineered data pipelines using Pandas and SQL that handled large volumes of structured and unstructured data, improving data processing capabilities for analytics teams. • Constructed and maintained performance-optimized database solutions leveraging PostgreSQL and MongoDB, facilitating real-time data insights for business intelligence teams. • Participated in the development of real-time analytics solutions utilizing Apache Spark, resulting in reducing reporting times significantly for stakeholders. • Collaborated on model development for customer segmentation utilizing K-means clustering and decision trees, improving targeted marketing efforts by over 15%. • Implemented automated testing for ML models ensuring reliability using pytest and continuous integration pipelines, improving code deployment times by 20%. • Integrated cloud-native solutions on GCP using Vertex AI for model training and deployment, leveraging the cloud infrastructure to enhance model scalability and cost-efficiency. • Conducted thorough performance monitoring and implemented optimizations on existing models which significantly reduced processing latencies by leveraging best coding practices and efficient algorithm strategies. • Developed reporting dashboards utilizing Tableau to visualize business metrics which streamlined performance tracking across projects. Liberty Mutual, Boston, MA - Software Developer Oct 2015 – Apr 2017 • Assisted in the development and testing of backend microservices using JavaScript and Node.js, which facilitated seamless communication with front-end applications deployed in production. • Designed and implemented RESTful APIs for data communication across various platforms, ensuring optimal performance and reliability for customer-facing applications. • Utilized version control systems like Git for collaborative project development, ensuring documentation and change tracking aligned with Agile methodologies. • Developed basic AI models for predictive analytics utilizing scikit-learn, aiding teams in prospecting analyses for potential customer conversion. • Incorporated feedback-driven enhancements into existing software projects, ensuring that user experience metrics consistently met the established targets. • Contributed to various project stages, applying knowledge of data structures and algorithms to ensure optimal model development in line with industry standards. • Executed solutions that involved data curation and normalization, establishing consistent pipelines for reporting, ensuring data integrity in reporting frameworks. • Generated and maintained comprehensive technical documentation to facilitate project morale and knowledge retention across team members. E D U C A T I O N Illinois Institute of Technology – Bachelor of Science in Computer Science (Aug 2011 - May 2015) / 2 Resume options Continue Having an issue with this application? Tell us more © 2025 Indeed - Your Privacy Choices This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.