Research
Selected projects and applied research experience
This section is designed as a living overview of what I have explored, built,
and validated in practice.
Object Detection for Real-World Creative Safety
2023 Explored DETR-family detectors, ViT-based feature pyramids, and production evaluation for detecting policy-violating elements in ad imagery.
- Compared YOLO, Co-DETR, and Co-DINO variants against internal benchmarks.
- Adapted pre-trained ViT backbones to dense detection with multi-scale feature construction.
- Observed practical gains in online A/B evaluation despite modest offline metric deltas.
From Software Engineering to Applied ML
2020-2022 Moved from software engineering into algorithm engineering, with a focus on production-ready ML systems and disciplined experimentation.
- Built engineering habits around reproducibility, iteration speed, and debugging complex pipelines.
- Turned research papers into testable implementation plans instead of purely theoretical reading.