classSoftwareEngineer(Web, Infra, GenAI):def__init__(self):self.name='Truong Quang Dinh'self.skills=['Python', 'Django', 'FastAPI', 'PostgreSQL', 'AWS', 'GCP', 'Docker', 'GenAI', 'Vue.js']self.hard_worker=Trueself.quick_learner=Trueself.problem_solver=Truedefis_hireable(self):return(self.hard_worker&&self.problem_solver&&len(self.skills)>=5)Who I am?
Results-driven Python developer with nearly 3 years of web development experience, specializing in Django, FastAPI, and GenAI applications. Proven expertise in architecting scalable cloud solutions (AWS/GCP) and optimizing database performance (PostgreSQL, BigQuery, AlloyDB). Demonstrated success in reducing query latency by 60-80% and storage costs by 30% through advanced optimization. Passionate about applying emerging technologies and TDD best practices to deliver secure high-quality software.
Search Job System
constproject={name:'Search Job System',tools: ['Python', 'FastAPI', 'SQL', 'BigQuery', 'AlloyDB', 'PostgreSQL', 'GCP', 'Elasticsearch', 'Apache Beam],myRole:Software Engineer,Description: Developed a daily ETL data pipeline using Apache Beam to transfer data from BigQuery to AlloyDB. Achieved 30% reduction in storage costs and 80% decrease in data migration time by optimizing a 1.5TB database. Implemented advanced database techniques including SQL optimization, indexing, query scheduling, and table partitioning, reducing query times from 3min to under 30s.,};GenAI Chatbot Projects
constproject={name:'GenAI Chatbot Projects',tools: ['Python', 'FastAPI', 'AWS CDK', 'Lambda', 'ECS', 'OpenSearch', 'LLMs', 'RAG],myRole:Software Engineer,Description: Researched and developed Retrieval Augmented Generation (RAG) systems for enhanced chatbot capabilities. Architected robust infrastructure focusing on scalability and performance on AWS. Implemented serverless components using AWS Lambda, ECS, and OpenSearch to support the RAG system with embedding models and LLMs to optimize information retrieval.,};Product Order and Warranty Issuance System
constproject={name:'Product Order and Warranty Issuance System',tools: ['Python', 'Django', 'PostgreSQL', 'AWS', 'Redis', 'Celery', 'AWS S3],myRole:Software Engineer,Description: Spearheaded the development of the Order and Invoices module, crafting 52% of the codebase from scratch. Engineered a versatile database setup to efficiently manage diverse product orders and warranty requirements. Enhanced RESTful API efficiency with Django ORM and PostgreSQL, cutting response times by 17%.,};Construction Material Procurement System
constproject={name:'Construction Material Procurement System',tools: ['Python', 'Django', 'PostgreSQL', 'AWS', 'SNS', 'Lambda],myRole:Software Engineer,Description: Primary engineer responsible for over 25% of vital code contributions, with particular focus on 80% of the development for phase 2. Architected and executed robust RESTful APIs using Django, streamlining data exchange and integration processes. Utilized various AWS services such as SNS and Lambda.,};
16 days ago
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Hướng dẫn cài đặt Python 3.12 trên EC2 (Amazon Linux) với OpenSSL và Pip
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