Andre Ballard
Full Stack Software Engineer
*****.*******.****@*****.*** 214-***-**** Rosharon, TX 77583 LinkedIn PROFILE
Highly skilled Full Stack Software Engineer with 8+ years of experience designing, developing, and deploying scalable applications. Expertise in React, React Native, Angular, Vue for frontend, and Java, Python, Go, Node.js, C# for backend development. Strong background in cloud technologies including AWS, GCP, and Microsoft Azure. Proven track record in building high-performance software solutions at industry-leading companies like Microsoft, The Marsden Group, Infosys, and Revature. Adept at leading teams, optimizing performance, and driving innovation.
SKILLS & ABILITIES
Frontend
React, React Native, Angular, Vue, TypeScript, JavaScript, HTML, CSS Backend
Java, Python, Go, Node.js, C#, REST APIs, GraphQL
Cloud & DevOps
AWS, GCP, Microsoft Azure, Kubernetes, Docker, Terraform, CI/CD Pipelines Databases
PostgreSQL, MySQL, MongoDB, Redis, DynamoDB
Tools & Platforms
Git, Jenkins, Jira, Agile/Scrum, Microservices Architecture EXPERIENCE
MICROSOFT, SENIOR SOFTWARE ENGINEER 04/2021 – Present Project: Continuous Monitoring with Wireless Wearable Sensors and Advanced Metasurfaces
•Designed and developed a cloud-native, Al-powered patient monitoring system leveraging wireless wearable sensors and advanced metasurfaces to enable real-time health tracking.
•Led microservices transformation, breaking a monolithic system into Node.js with TypeScript, Java Spring Boot, and Python FastAPI services, improving scalability, fault tolerance, and system reliability.
•Developed real-time sensor data ingestion pipelines with Kafka, Azure Event Hubs, and Apache Flink.
•Built and optimized GraphQL APIs and RESTful services for real-time sensor data ingestion and Al- driven analytics.
•Enhanced API performance, optimizing API gateways using Kong and Apigee, reducing response latency.
•Architected cloud-native solutions on Azure Kubernetes Service (AKS), Terraform, and Helm, ensuring high availability for patient monitoring services.
•Implemented CI/CD pipelines with Azure DevOps, GitHub Actions, and Terraform, reducing deployment time from hours to minutes.
•Designed real-time health data visualization dashboards using React, Next.js, Redux, and GraphQL, enhancing clinician decision-making and patient care.
•Developed AI-powered health monitoring tools, enabling early disease detection through Azure Al and machine learning.
•Ensured regulatory compliance, conducting security audits aligned with ISO 27001, SOC 2, and HIPAA for patient data protection.
•Mentored junior engineers, leading code reviews, technical workshops, and career development sessions. Impact:
•Improved continuous health monitoring, reducing hospital visits by 0%.
•Enhanced early detection of cardiovascular and neurological conditions using Al-based health trend analysis.
•Expanded hospital-at-home capabilities, allowing healthcare providers to remotely monitor and treat patients. THE MARSDEN GROUP, BACKEND SOFTWARE ENGINEER 06/2019 – 04/2021 Project: Industrial IoT & Predictive Maintenance for Smart Manufacturing
•Developed a real-time industrial IoT platform that revolutionized manufacturing operations by enabling predictive maintenance, real-time monitoring, and AI-driven insights for industrial clients. The system leveraged sensor data, cloud computing, and Al analytics to prevent equipment failures, optimize workflows, and increase efficiency.
•Designed and implemented high-performance backend services using Go, Python (Django, Flask), and Node.js
(Express, NestJS), enabling real-time industrial data processing.
•Built real-time data pipelines leveraging AWS Kinesis, GCP Pub/Sub, and Apache Kafka, optimizing data processing speeds for predictive analytics.
•Developed an event-driven architecture with Kafka, RabbitMQ, and AWS SNS/SQS, ensuring low- latency data flow and system resilience in high-throughput environments.
•Integrated AI/ML models using TensorFlow and PyTorch, allowing manufacturers to detect anomalies and predict failures before they occur, reducing unplanned downtime.
•Developed serverless applications with AWS Lambda, Google Cloud Functions, and Azure Functions, reducing operational costs.
•Implemented database optimization strategies for PostgreSQL, DynamoDB, and MongoDB, improving query performance and ensuring fast, reliable sensor data retrieval.
•Established monitoring and alerting systems with Prometheus, Grafana, and ELK Stack, reducing system downtime.
INFOSYS, SOFTWARE ENGINEER 08/2017 – 06/2019
•Designed and developed enterprise web applications using Java (Spring Boot), Angular, and Hibernate, handling millions of daily transactions.
•Built and optimized RESTful APIs using Spring Boot, Express, and Django, improving system interoperability.
•Led a cloud migration project to AWS (EC2, S3, RDS, Lambda), reducing infrastructure costs by 20%.
•Developed authentication and authorization modules using OAuth 2.0, JWT, and OpenID Connect, enhancing security.
•Optimized SQL queries and indexing strategies for PostgreSQL, MySQL, and Oracle, improving application performance by 25%.
•Implemented automated testing using JUnit, Selenium, and Jest, increasing test coverage and reliability.
•Worked in Agile/Scrum teams, contributing to sprint planning and feature development. REVATURE, SOFTWARE ENGINEER 05/2017 – 08/2017
•Completed an intensive training program in Java (Spring Boot), .NET (C#), and full-stack development.
•Built foundational knowledge in RESTful API design, object-oriented programming, and database architecture.
•Assisted in the development of internal applications using React, Java (Spring Boot), and PostgreSQL.
•Gained hands-on experience in CI/CD, Git workflows, and Agile development methodologies. EDUCATION
TEXAS A&M UNIVERSITY, KINGSVILLE, TEXAS,
B.S. IN COMPUTER SCIENCE
06/2016
CERTIFICATIONS
Microsoft Azure IoT Developer