Loida Torres

Expert in designing and deploying scalable, AI-powered solutions that drive measurable business value. Proven track record of leading the full machine learning lifecycle - from problem definition and data engineering to model training, deployment, and monitoring. Deeply skilled in Python, cloud platforms (AWS, GCP, Azure), and advanced LLM applications including RAG, intelligent automation, and generative AI.

Combines a robust 9+ year software engineering foundation with a passion for building reliable, high-performance systems that solve complex technical challenges.

Senior Software Engineer (AI/ML Focus) at MANA TRUCKING LLC (2024-11 – Present)

• Leading the design and development of a Generative AI-powered logistics optimization platform, reducing route planning time by 35% and fuel costs by 12%
• Architecting an enterprise-grade RAG (Retrieval-Augmented Generation) system using GPT-4 and vector databases (Pinecone) to enable real-time document retrieval and insight generation from thousands of operational records
• Deploying and fine-tuning LLM models on AWS SageMaker, achieving 92% accuracy in automated shipment classification and anomaly detection
• Building intelligent automation pipelines that process unstructured data (emails, PDFs, manifests), reducing manual data entry by 60% and saving the operations team 20+ hours per week
• Designing scalable microservices architecture using FastAPI and Docker, containerizing AI services for seamless deployment across cloud environments
• Mentoring 3 junior engineers on MLOps best practices, including model versioning, monitoring, and CI/CD integration

Senior Software Engineer at TDIndustries, Inc. (2023-06 – 2024-05)

• Developed predictive maintenance models using Scikit-learn and XGBoost that forecasted equipment failures with 89% precision, reducing unplanned downtime by 25% and saving an estimated $1.2M annually
• Implemented Natural Language Processing (NLP) pipelines to analyze customer feedback and service tickets, automatically categorizing issues and reducing response time by 40%
• Engineered scalable ETL data pipelines processing 5M+ records daily using Python, Pandas, and NumPy, feeding into predictive models on AWS, GCP, and Azure platforms
• Optimized database performance (PostgreSQL) through query tuning and indexing strategies, improving application response times by 45%
• Containerized machine learning services using Docker and orchestrated deployment with Kubernetes, achieving 99.9% uptime for production ML models
• Partnered with product innovation teams to identify and prioritize high-impact AI use cases across HVAC and facility management domains
• Led technical design reviews and established coding standards for the data science and engineering teams

Contract Software Engineer at Ell Industries (2023-05 – 2023-06)

• Designed and deployed interactive Power BI and Tableau dashboards that consolidated data from 5+ source systems, providing executive-level visibility into key business metrics
• Optimized Oracle Database performance through indexing, query refactoring, and partitioning strategies, reducing query execution time by 60%
• Developed custom data models to support e-commerce analytics, improving sales forecasting accuracy by 18%
• Migrated legacy reporting systems to modern cloud-based architecture, reducing monthly reporting generation time from 3 days to 4 hours
• Collaborated with cross-functional teams to define data governance standards and ensure data quality across all BI initiatives

Software Engineer at HTX Industrial (2021-03 – 2023-03)

• Built and deployed 10+ responsive web applications using Spring Boot, React.js, and TypeScript/Node.js, serving 2,000+ daily active users
• Implemented CI/CD pipelines using GitHub Actions and Jenkins, reducing deployment time from 2 hours to under 15 minutes and enabling 5x more frequent releases
• Designed RESTful APIs with Spring MVC that handled 1M+ daily requests with average latency under 200ms
• Led the migration of a legacy monolithic application to microservices architecture, improving system scalability and developer productivity by 40%
• Optimized PostgreSQL query performance, reducing page load times by 50% and improving user satisfaction scores
• Conducted code reviews, mentored junior developers, and championed Agile best practices across 3 cross-functional scrum teams
• Collaborated with UX designers and product owners to deliver user-centered features, achieving 95% positive user feedback

Software Engineer at Comfort Systems USA (2017-06 – 2021-03)

• Progressed from intern to full-time Software Engineer in 2 years, demonstrating strong technical growth and leadership potential
• Modernized enterprise web applications by migrating from AngularJS to React.js, improving application performance and developer experience
• Developed cross-platform mobile applications using React Native, reaching 500+ internal users and streamlining field operations workflows
• Built single-page applications (SPAs) with responsive design and cross-browser compatibility, reducing bounce rates by 30%
• Collaborated within Agile/Scrum teams, delivering 12+ major releases on schedule with 99.5% defect-free rate
• Implemented Git branching strategies and version control best practices, reducing merge conflicts by 70% and accelerating team velocity
• Integrated RESTful APIs with front-end applications, enabling seamless data flow between internal systems and external vendors
• Contributed to sprint planning, backlog refinement, and retrospectives, helping the team achieve a 25% increase in velocity over 18 months

Software Engineer Intern at Comfort Systems USA (2015-06 – 2017-06)

• Gained hands-on experience in SQL, XML, and front-end development, supporting 5+ enterprise application releases
• Assisted in user experience (UX) improvements, implementing responsive layouts and interactive features using HTML, CSS, and JavaScript
• Shadowed senior engineers to learn software engineering best practices, including code reviews, testing, and debugging
• Documented technical specifications and user guides for internal applications, improving onboarding efficiency for new team members
• Participated in daily stand-ups and Agile ceremonies, contributing to team collaboration and project success

Bachelor of Science in Software Engineering Technology – ITT Technical Institute (2010-08)