Pham T.

Developed an automated security scanning system by integrating tools such as Acunetix, Nessus, and OWASP ZAP for periodic vulnerability scanning. Constructed an automated pipeline that collects and analyzes scan results, sending security alerts through a dashboard or internal monitoring system. Created customized security testing modules based on application-specific requirements. Proficient in ReactJS, Next.js, and Tailwind CSS for designing management interfaces, statistical dashboards, and internal data management pages. Developed modern UI/UX designs, optimized performance, and integrated with APIs, WebSocket, or real-time data analysis systems. Participated in designing and developing an electronic document management system for government agencies, encompassing document processing, circulation procedures, and security measures. Integrated with internal APIs of administrative bodies. Expert in building, training, and deploying local AI models (Local LLM) for research and workflow automation. Effectively utilized prompt engineering for tasks including data analysis, text summarization, report generation, code creation, and pipeline optimization. Incorporated AI into internal systems to aid decision-making, provide intelligent suggestions, and automate business processes. Built intelligent automation systems using n8n, Dagster, or Airflow, combined with AI content generation for data processing and report creation, and workflow management.

Demonstrated expertise in deploying and operating Big Data systems, including Hadoop, Hive, Spark, HDFS, and Airflow, ensuring efficient data processing and storage. Developed a system for crawling data from various social media platforms (Facebook, YouTube, Instagram, Threads, Twitter/X), news websites, and forums for sentiment analysis, information retrieval, and trend monitoring. Designed and implemented a Threat Intelligence platform to collect, normalize, and analyze data from multiple cybersecurity sources to identify potential threats, attack behaviors, and risk classification. Constructed automated ETL pipelines using Python, Airflow, Elasticsearch, and Kafka to extract, cleanse, transform, and load data into Data Warehouses/Data Lakes. Integrated data into analytical systems (Elasticsearch, Kibana, Grafana) to support reports on behavioral analysis, social media trends, and threat monitoring. Proficient in programming with Python and utilizing Docker, Spark Cluster, and Airflow DAGs for system management and data connection through Django, FastAPI, and Elastic API.