MACHINE LEARNING ENGINEER
I train models. Then I make them work for a living.
Eight deployed projects spanning computer vision, NLP, retrieval, classic ML, and MLOps. Each card below is a spec sheet for a live, working system, launch it directly or read the source.
// PROJECT_INDEX
TUNETRACK
LIVEA dashboard tracking LoRA fine-tuning experiments on a small open LLM, logging parameters and results with MLflow across multiple runs, including a documented overfitting finding.
CODEXQUERY
LIVERAG chatbot that answers questions about my own repositories, grounded in the actual code and docs, with citations back to the source file and line range.
DEEPFAKE_DETECTOR
LIVEClassifies uploaded face images and video as real or AI-generated, with a confidence score and frame-sampling for video.
PICASSIFY
LIVETransforms any photo into stylized artwork by blending it with a chosen painting's style, using neural style transfer.
NEURAL_LENS
LIVEReal-time image recognition across 1,000+ object categories, built on a MobileNetV2 backbone.
DIABETES_DETECTOR
LIVEPredicts diabetes risk from clinical metrics, with real-time probability scoring and downloadable reports.
SENTIMENT_SENSE
LIVEAspect-based sentiment analysis dashboard detecting business topics (food, service, price) and emotional context in real time.