CartierC
Cloud & Infrastructure Technologist | AWS | Backend & Systems Foundations
Atlanta, GA GitHub: https://github.com/CartierC Email: carterjj669@gmail.com
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Technical Profile
Systems-oriented technologist building cloud and infrastructure capability from low-level memory management to backend application architecture.
Strong foundation in C programming, data structures, database-backed web systems, and storage mechanics. Currently expanding into AWS cloud architecture with emphasis on IAM design, compute provisioning, storage configuration, and operational reliability.
Focused on building secure, efficient, and production-aware systems.
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Core Competencies
Cloud & Infrastructure • AWS fundamentals (IAM, EC2, S3, VPC, RDS, CloudFront basics) • Identity and access design (least privilege principles) • Networking fundamentals • Monitoring and operational awareness
Programming • C (memory allocation, pointers, data structures) • Python (Flask backend development) • SQL (relational databases) • HTML / CSS
Systems Concepts • Hash tables and algorithmic efficiency • Binary file parsing and block-level storage logic • Authentication and session handling • API integration • Performance and memory optimization
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Featured Technical Projects
Speller — Hash Table Implementation (C)
Designed and implemented a custom hash table to perform high-speed dictionary lookups with collision handling and dynamic memory allocation.
Technical Focus • Custom hash function design • Linked list collision resolution • Heap memory management (malloc / free lifecycle) • File I/O processing for large datasets • Performance optimization (average O(1) lookup)
Infrastructure Relevance Understanding of indexing, caching mechanics, and memory efficiency in backend and distributed systems.
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Finance — Full-Stack Web Application (Flask + SQL)
Developed a secure portfolio tracking web application with user authentication, transaction history, and API-driven stock quotes.
Technical Focus • Backend development with Flask • SQL database integration • Password hashing and authentication • CRUD operations • Session management and validation
Cloud Relevance Foundation for scalable database-backed applications and secure web service architecture.
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Recover — Binary File Forensics (C)
Reconstructed JPEG images from raw forensic disk images by scanning binary signatures and rebuilding file structures programmatically.
Technical Focus • Block-level disk processing (512-byte chunks) • Binary signature detection • File stream reconstruction • Storage logic comprehension
Infrastructure Relevance Deep understanding of storage systems, data integrity, and recovery principles applicable to cloud storage environments.
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Professional Direction
Seeking roles in: • Cloud Support • Infrastructure Operations • Technical Support Engineering • Entry-Level Cloud Engineering
Primary focus areas: reliability, security, performance, and structured systems design.
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Currently Developing • AWS Cloud Practitioner & AI Practitioner knowledge • Infrastructure deployment workflows • Monitoring and logging fundamentals • Cloud security best practices • Infrastructure automation concepts
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Technical Philosophy
Strong systems are built with: • Clear access control • Efficient resource usage • Structured data design • Operational awareness
I approach cloud and infrastructure with discipline, performance awareness, and security-first thinking.