Houston, Texas, United States
I’m a Software Engineer with 1.5+ years of experience in full-stack development, distributed systems, and cloud technologies. I also have experience working on AI-enabled applications and machine learning models Currently pursuing my Master’s in Computer Science at Texas A&M University, I’m looking for full-time opportunities starting Summer 2025. Technical Skills: Backend: Java, Go, Spring Boot, C++, Node.js, Python, Ruby on Rails Cloud: AWS, Azure, Google Cloud, Docker, Kubernetes, Terraform Systems: Linux, Networking, Multithreading, System Design, Performance Optimization Databases: MySQL, PostgreSQL, NoSQL, MongoDB, Redis, Firebase Distributed Systems: Kafka, RabbitMQ, Apache Spark, Hadoop, Hive, Presto Authorized to work in the USA and open to relocating.
• Conduct lab sessions, providing hands-on experience with Ruby on Rails, Docker, and CI/CD practices • Guide project teams through technical challenges and project milestones, offering support and expertise • Evaluate and grade lab assignments, offering constructive feedback to enhance student's understanding and skills
• Led the end-to-end development of the OliviaKIDS educational platform using Next.js, React.js, TypeScript, Tailwind CSS, Zod, and Zustand, streamlining development processes and reducing build times by 20%. • Engineered a scalable backend infrastructure with Prisma and PostgreSQL, handling 10x data growth efficiently and improving database query performance by 30% through advanced indexing and partitioning strategies. • Streamlined deployment processes by integrating Docker, ensuring consistent and reliable environments across development, staging, and production, which reduced deployment failures by 50%.
Student Assistant responsible for the Analysis of Algorithms course at Texas A&M University.
• Architected and implemented a dynamic feature flagging system with Spring Boot and PostgreSQL, reducing deployment time by 60% and enabling real-time experimentation across multiple microservices. • Enhanced API throughput by 20% by refactoring critical code paths, optimizing database queries, and integrating adaptive load balancing, resulting in a 35% reduction in server response times under peak loads. • Refactored React components to adhere to MVC principles, increasing code reusability by 40% and reducing technical debt, which improved developer productivity and accelerated feature delivery by 25%. • Boosted site performance by 40% by implementing React Query for intelligent caching and optimized data fetching strategies, reducing initial load times and enhancing user experience on high-latency networks.