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AI Engineer with less than a year in Python, AI, and Backend Development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Computer Science undergraduate with strong hands-on experience in Python, backend API development, automation, and AI-powered systems. Adept at building real-world applications using modern frameworks and clean architectural patterns. Passionate about continuously learning new technologies and contributing effectively in collaborative, fast-paced engineering environments. Actively preparing for a professional career in Japan, including language study and cross-cultural adaptation.
East West University
B.Sc. · Computer Science & Engineering
August 1, 2022 – June 30, 2026
AI Web Scraper
June 1, 2026 – Present
Built an intelligent scraper combining Selenium browser automation with LLM-based HTML parsing for structured data extraction. Exported clean, structured data from dynamic JavaScript-heavy websites in both JSON and CSV formats. Designed using OOP principles for extensibility, handling dynamic content loading and pagination across complex websites.
View ProjectEWU AI Engine – Policy Assistant
June 1, 2026 – Present
Built a Retrieval-Augmented Generation (RAG) system using open-source LLMs to answer natural-language policy queries with high accuracy. Implemented a full document ingestion pipeline covering PDF parsing, vector indexing, and semantic retrieval for context-aware responses. Designed modular agent-like workflows for query routing and response generation; applied clean OOP architecture for maintainability.
View ProjectAgri-Bot - Agriculture Assistant Chatbot
June 1, 2026 – Present
Developed an AI-powered chatbot for farming queries with a Python RAG backend and TypeScript interface for multi-platform use. Integrated agent-based reasoning to provide personalized, context-sensitive recommendations to users. Structured the codebase modularly to support future API integrations, knowledge base expansion, and automation pipelines.
View ProjectMachine Learning Specialization
DeepLearning.AI / Stanford University Coursera
September 1, 2025 – Present
Google Data Analytics Professional Certificate
Google Coursera
October 1, 2024 – Present
Cultural Fit Analysis
The candidate's interest in a professional career in Japan, including language study and cross-cultural adaptation, indicates an openness to diverse environments and a proactive approach to cultural integration. The academic and personal projects show initiative and a breadth of application within AI, aligning with a learning-oriented culture. However, the lack of professional experience limits the ability to fully assess cultural fit in a corporate setting.
Soft Skills & Operational Fit
The candidate demonstrates a proactive learning attitude and an interest in collaborative environments. The project descriptions suggest an understanding of modular architecture and maintainability, which are positive indicators for operational fit. However, without specific psychometric or English test results, a comprehensive assessment of soft skills, stress handling, and team collaboration cannot be fully made.