End-to-end AI engineering work across multimodal assistants, RAG systems, deep learning, graph neural networks, forecasting, anomaly detection, and MLOps.
A highly capable multimodal assistant with retrieval, reasoning, workflow automation, and image understanding.
A deeply integrated multimodal AI assistant designed for real-world use. It understands your documents, answers complex queries, analyzes images, and orchestrates multi-step workflows.
Powered by a modern AI engineering stack designed for speed, accuracy, extensibility, and developer ergonomics.
Seven interactive, production-style apps showcasing breadth in vision, retrieval, multimodal reasoning, forecasting, and anomaly detection.
Extract answers from docs using embeddings & TF-IDF.
Understands images + retrieves grounded knowledge.
Real-time vector search using embeddings.
Matrix factorization recommender.
Interactive forecasting experience.
CNN trained on GTSRB.
Detects waveform abnormalities.
A curated collection of applied machine learning, deep learning, GNNs, forecasting, anomaly detection, MLOps, and more.
Containerized microservice with CI/CD.
Experiment tracking & model registry.
IsolationForest + LOF hybrid.
Wearable sequence modeling.
Long-range multistep forecasting.
GCN for node classification.
ResNet-18 fine-tuning.