Selected work spanning local-first productivity tracking, ML platforms, semantic retrieval, Gaussian Splatting pipelines, defensive cloud-security modeling, developer tooling, NLP moderation, computer vision and bioinformatics.
Flutter
AndroidXPDesigned a local-first Flutter productivity app that tracks habits, todos, water, steps, workouts and finance. It computes a daily life score, gamifies progress with XP and levels, syncs steps through Health Connect, and parses SMS-based finance signals.
3D
OpenCVPrepared Gaussian Splatting pipelines from multi-view video, applied masking, and improved reconstruction inputs before rendering.
LLM
SearchIntegrated LLM-backed semantic search, query interpretation, intent modeling, and personalization signals for product retrieval.
Python
StreamlitDesigned a low-code ML automation platform that shortens model setup, experimentation, and deployment preparation.
CloudIAMModeled IAM relationships, composed capabilities, sensitive-data exposure, and remediation priority for defensive cloud analysis.
GitHub
pytestOutlined a developer-tooling concept for bug triage, failing-test reproduction, patch generation, and multi-agent review loops.
Python
scikit-learnCreated an NLP-based moderation concept to detect antisocial behavior and improve safety in online conversations.
OpenCVPythonDeveloped a computer-vision posture feedback system using Python and OpenCV for exercise-form analysis.
TensorFlowPythonCompared ML and deep-learning approaches for biological sequence classification, later presented through WCAIAA-linked research.