Gustavo Jhair Andree Verástegui Luyo

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Big Data Engineer

Meditech,

Jun 2024 - Dec 2024 (7 months)

• Developed a predictive health diagnostic tool using machine learning models to forecast potential health issues, improving early detection accuracy by 18% • Led the creation of a personalized healthcare plan recommendation system, increasing user engagement by 25% • Spearheaded the integration of deep learning models for medical imaging analysis, enhancing accuracy by 20% Tools/Technologies: TensorFlow, GCP, Apache Airflow ◦ Designed, developed, and deployed high-quality, scalable data solutions, optimizing costs and processing times. ◦ Implemented solutions using frameworks and standardized tools from the COE of Data. ◦ Conducted root cause analysis (RCA) and problem resolution to ensure data process stability. ◦ Managed data

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Senior Big Data Engineer

SkyTech Innovation,

Jan 2024 - May 2024 (5 months)

• Led the development of a fraud detection system, reducing fraud cases by 20% • Built a reinforcement learning-based supply chain optimization platform, reducing costs by 22% • Conducted end-to-end model deployment using Kubernetes and Jenkins Tools/Technologies: TensorFlow, Jenkins, Kubernetes ◦ Developed ingestion and data transformation pipelines in Data Lake and Lake House environments on On-Premise and Cloud platforms. ◦ Distributed data processing using Spark (PySpark and Scala). ◦ Optimized processes focusing on cost reduction and efficient cluster usage. ◦ Scheduled processes according to user-defined criteria and business needs. ◦ Deployed solutions into production using continuous integration and deployment tools (De

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Big Data Engineer

TelcoGlobal Inc.,

Jul 2023 - Dec 2023 (6 months)

• Developed a predictive maintenance system, reducing unplanned downtimes by 25% • Designed an AI-driven chatbot for customer support, decreasing response times by 40% • Created a real-time network traffic optimization system, improving reliability by 18%

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Big Data Engineer

Gameforge,

Jun 2022 - Jun 2023 (1 year 1 month)

• Created an AI-powered recommendation system for in-game content, increasing user retention by 12% • Developed a real-time analytics platform to analyze player behavior, boosting in-game purchases by 15% • Implemented a content moderation system using computer vision, reducing harmful content by 30%

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Founder

Q&A Technical Solutions,

Mar 2022 - May 2022 (3 months)

• Designed and developed microservice architectures in Java using Spring Boot and Spring Cloud • Implemented reactive solutions with Spring WebFlux and RxJava2 for non blocking, high-performance applications • Automated CI/CD pipelines with Docker and Kubernetes, ensuring seamless deployments Tools/Technologies: Spring Boot, Kubernetes, RxJava2

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Junior Software Engineer & Data Engineer

NTT DATA,

Oct 2021 - Jan 2022 (4 months)

• Developed and maintained Java microservices with Spring Boot, following architectural guidelines • Created unit and integration tests with JUnit and Mockito, ensuring code quality • Configured secure REST endpoints using Spring Security and JWT Tools/Technologies: Java, PostgreSQL, RabbitMQ

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Software Engineer

UPC

Mar 2021 - Dec 2024 (3 years 10 months)

• Specialized in systems architecture, algorithms, and software development methodologies • Gained proficiency in programming languages such as Python, Java, and C++ • Completed coursework in artificial intelligence, machine learning, and big data technologies • Led capstone projects focused on designing scalable software systems and predictive analytics tools • Participated in competitive programming and hackathons, earning top placements at university-level events

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Freelance Developer

QUVNTUM Corp,

Oct 2020 - Sep 2021 (1 year)

• Implemented backend applications in Java 11 + using Spring Boot and Spring WebFlux to create non-blocking RESTful microservices • Managed RxJava2 for integrations via REST APIs and asynchronous messaging • Optimized performance with caching (Redis) and non-blocking queries • Collaborated with frontend teams using reactive endpoints • Configured scalable environments with Docker and Kubernetes • Applied clean architecture, Hexagonal patterns, and DDD, combining imperative and reactive paradigms • Participated in Agile sprints to meet deadlines effectively Projects Developed: ◦ module and non-blocking endpoints ◦ Analytics Microservice: service RxJava2

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Android Developer

2R Arquitectos,

May 2019 - Sep 2020 (1 year 5 months)

• Developed Android mobile applications focused on visualizing architectural projects • Integrated backend services in Java, consuming REST APIs to display catalogs and projects • Optimized user experience (UX) by applying Material Design principles and best navigation practices • Integrated interactive maps (Google Maps) for locating architectural projects and points of interest • Implemented push notifications and background services to keep users informed of new offers • Conducted unit and UI testing (Espresso) to ensure application stability and quality Maintained compatibility across multiple Android versions and devices resolutions

Data Engineer

WorkBox

Feb 2019 - Dec 2019 (11 months)

Gustavo Jhair Andree Verástegui Luyo

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