Hiya Sharma

Computer Science Honors | Software Engineering, AI, Cloud & Data Systems

Hiya Sharma is a Computer Science Honors student with a strong foundation in software engineering, data science, cloud computing, and AI systems. She has experience working across multiple domains, from backend engineering and cloud infrastructure to applied machine learning and generative AI. Through internships, research projects, and academic achievements, she has consistently demonstrated technical expertise, adaptability, and leadership in solving complex problems. Hiya combines rigorous technical skills with creativity, communication, and collaboration—key qualities that make her well-prepared for challenges in both academic and professional environments.

Qualifications

Education: Honors Bachelor of Science in Computer Science, Minor in Business (Texas A&M University, GPA: 3.9/4.0)
Technical Skills: Python, Java, C++, R, SQL, JavaScript, Bash, HTML/CSS, Git, Docker, AWS, GCP, TensorFlow, PyTorch, React
Cloud & AI Expertise: Deployed scalable microservices, integrated OpenAI-powered RAG pipelines, real-time analytics, anomaly detection models, blockchain systems
Professional Experience: Software Engineer Intern at AWS and Gavii; Sustainability Software Engineer Intern at AgriLife; Researcher at Texas A&M
Projects: Enterprise data optimization, deep learning pipelines, Tableau dashboards, 3D modeling with Autodesk Maya
Achievements: Research published at ICAIR 2025 (Italy)
Core Attributes: Problem-solving, adaptability, collaboration, mentorship, communication