I am a software developer with hands-on experience building reliable automation tools, backend services, and real-time data systems. My work has included Python, FastAPI, PostgreSQL, SQL, and JavaScript, with a strong focus on data integrity, performance, and practical problem solving.
I have built and improved workflows that reduced manual processing time significantly, including a Google Apps Script automation that connected Google Form, Sheets, PDF generation, and email delivery. I also contributed to backend reliability and structured data pipelines during my internship experience.
In parallel, I have worked as an AI model evaluation specialist, reviewing VQA outputs on Labelbox and identifying spatial and factual errors. This role strengthened my ability to apply taxonomy-based scoring, write clear rationales, and improve the quality of training data for AI systems.
My project work includes an autonomous AI trading agent with a FastAPI and PostgreSQL backend, real-time market data ingestion, and a React dashboard for monitoring technical indicators. I have also built an Android expense tracker with validation, reporting, and secure login features.
I enjoy combining builder’s execution with evaluator’s precision. Whether I am developing software, designing data workflows, or assessing model outputs, I focus on accuracy, scalability, and measurable impact.
I am looking for opportunities where I can contribute to software engineering, backend development, automation, or AI/data evaluation work. I am comfortable working remotely and collaborating on products that require both technical depth and attention to detail.
