LLM Agents and AI-Assisted Software Engineering
How can language-model agents support reliable planning, retrieval, and task execution inside real software systems?
Graduate research profile
Building reliable intelligent systems.
I am a software engineer applying for master's study in artificial intelligence and machine learning. My background combines production software engineering with hands-on work in AI-assisted workflows, image processing, and data classification.
Trustworthy Intelligent Systems
How can we make AI-assisted workflows more transparent, verifiable, and appropriate for consequential decisions?
Applied Deep Learning and NLP
How can machine learning and language technologies turn unstructured information into useful, accessible services?
Research direction
From production systems to research questions.
I am especially interested in the gap between a capable AI demo and an AI system people can confidently use. In graduate study, I want to investigate how language-model agents and retrieval-based systems can be designed with clearer evidence, safer behavior, and useful human oversight.
I am seeking supervisors and labs working in machine learning, NLP, intelligent information systems, trustworthy AI, AI-assisted software engineering, or related applied AI areas.
Evidence of preparation
Relevant work and experiments.
AI-assisted logistics workflows
At Pixako Technologies, I develop and enhance an AI-driven logistics management system, including a ChatOps-style AI support feature for operational queries and tasks.
Automated Timetable Management System
My undergraduate final-year project processed timetable images, validated relevant inputs, extracted information, and stored it for a university information-management workflow.
Applied machine-learning coursework
I built a data-classification project during my undergraduate study, applying machine-learning and data-processing concepts to structured data.