Christian Ivan B.

Claude Code | QA Tester | Lovable | Developer

I am a versatile and detail-oriented Computer Science professional with hands-on experience in software quality assurance, data research, AI-assisted workflows, and Python-based data processing. I have worked on a wide range of projects including QA testing for web and mobile platforms, large-scale data collection and structuring, AI research assistance, and content management tasks. I am comfortable working with repetitive, accuracy-critical tasks as well as research-heavy and analytical work. I combine technical understanding with strong attention to detail to deliver reliable, well-structured outputs for both technical and non-technical teams. Core Skills and Experience Software Quality Assurance (QA) Experienced in manual QA testing for web and mobile applications, focusing on UI/UX evaluation, functional testing, and user acceptance testing. I have tested platforms such as Tradelance, Vacature-ORBIT, Trainee.in, OneMind, and other SaaS and mobile applications. My QA work includes identifying UI inconsistencies, usability issues, broken flows, edge cases, and reporting clear, actionable feedback for developers and stakeholders. Data Research and Structuring Strong background in large-scale data research, cleaning, and organization. I worked on a biology and medical database project involving nearly 200,000 structured entries, requiring high accuracy, consistent formatting, and reliable sourcing. I also handled research tasks that involved collecting verified resources, organizing them into spreadsheets, and ensuring completeness and data integrity. Python and Data Processing Proficient in Python for data scraping, processing, and automation. I have built scrapers to collect structured data from multiple websites, including an ice hockey platform (CHAMPS app) where I gathered and organized data from over 100 schools. I am experienced with libraries such as Pandas, NumPy, BeautifulSoup, and CSV/Excel workflows for transforming raw data into clean, usable datasets. AI and Machine Learning Experience Hands-on experience with machine learning through my undergraduate thesis on ECG-based atrial fibrillation detection using FFT and deep learning models (CNN-LSTM and ResNet-Attentive). I handled data preprocessing, feature transformation, model training, evaluation, and result analysis. This research has been accepted for presentation at the RSU International Research Conference 2026, demonstrating my ability to work on end-to-end ML pipelines in a research setting. AI-Assisted Workflows and Prompting Regularly use AI tools such as ChatGPT and Perplexity to support research, content generation, data structuring, and optimization tasks. I design prompts to produce structured outputs, assist with content localization, summarize research findings, and improve productivity while ensuring all outputs are reviewed and verified manually. Content Management and Admin Tasks Experienced in CMS-based content entry and updates, including creating and populating pages, adding products, formatting content, writing meta titles and descriptions, and adding SEO-friendly image alt text. I am comfortable following templates, maintaining consistency across pages, and working with repetitive content tasks where precision matters. Additional Strengths • Strong attention to detail and accuracy • Able to follow detailed written instructions • Comfortable with repetitive and time-bound tasks • Clear written communication in English • Self-driven and reliable with minimal supervision