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AI Engineer with less than a year in Python, React & LangChain
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Computer Science student specializing in AI/ML and full-stack development, with practical experience in Python, JavaScript, React, and Django. Developed interactive web applications and RAG chatbots, demonstrating strong skills in database management (PostgreSQL) and cloud tools. Eager to apply technical skills in innovative software solutions.
Lorma Colleges
Bachelor of Science · Computer Science
August 1, 2022 – June 1, 2026
Department of Science and Technology Region 1
Intern
June 1, 2025 – August 1, 2025
San Fernando City, La Union, Philippines
SakAI
January 1, 2025 – January 1, 2025
Designed a dynamic RBAC system for a ride-hailing panel with a configurable 14-key permission system. Modeled PostgreSQL schemas and REST APIs for full role lifecycle and member management. Authored technical specifications covering data models, API contracts, and permission matrices.
View ProjectVetBot
January 1, 2025 – January 1, 2025
Built a dual-mode RAG chatbot (pet owner and veterinary professional) using LangChain, ChromaDB, and Gemini with mode-specific prompts. Engineered a retrieval pipeline with cross-encoder re-ranking and metadata filtering to improve answer relevance. Implemented incremental document indexing via SHA-256 hashing and token-budgeted context assembly. Integrated Kokoro TTS with on-demand audio caching and streaming API responses.
View ProjectE-Cedula
January 1, 2024 – January 1, 2024
Developed a digitization system for a school project for easier tax certificate filing. Built an admin dashboard with Chart.js for real-time revenue monitoring and collection tracking.
View ProjectInformation Technology Passport/ITPEC Passer
Unknown
April 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects and internship demonstrate a breadth of technical interests, from AI/ML to full-stack development and database design. The 'VetBot' project shows an interest in applying AI to specific domains, which aligns with an innovative culture. The 'SakAI' project highlights an understanding of system security and access control, indicating a detail-oriented approach. The 'E-Cedula' project and DOST internship show engagement with practical, real-world problem-solving. The overall profile suggests a candidate who is eager to learn and apply diverse skills, which could be a good cultural fit for a dynamic engineering team.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on diverse technical challenges and a structured approach to problem-solving, as evidenced by authoring technical specifications. The academic projects and internship indicate a proactive learning attitude and a capacity for independent work. However, without psychometric test results, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.