An MLOps workflow for training, inference, experiment tracking, model registry, and deployment.

Computes CT contrast phase and GI tract contrast using TotalSegmentator and ML

A comprehensive .NET MAUI plugin for ML inference with ONNX Runtime, CoreML, and platform-native acceleration support

gRPC server for Machine Learning (ML) Model Inference in Rust.

EcoChain-ML is a hybrid energy-aware ML framework integrating a lightweight PoS blockchain layer and renewable-aware scheduling. Built to simulate green computing strategies on a single PC, it evaluates energy, latency, and sustainability trade-offs.

[TPDS 2025] EdgeAIBus: AI-driven Joint Container Management and Model Selection Framework for Heterogeneous Edge Computing

ML service for cats that actually learn stuff. PPO brains, personality drift, mood system.

Machine learning system for on-device inference that analyzes patrol notes and predicts violation type and severity using NLP embeddings and trained classification models.

Image-based game controller classifier UI. Upload photos to identify PS, Xbox, Nintendo, and Gamecube controllers using a trained ML model.

Production-style real-time ML feature store with low-latency inference

ML inference platform: upload dataset → LoRA fine-tune (HuggingFace + PEFT) → ONNX Runtime inference, async training via Celery, model registry in MinIO, Prometheus/Grafana.

Dockerized Django application for handwritten math expression recognition using a CNN model, with end-to-end ML pipeline and cloud-ready deployment.

Fast GPU-accelerated speech-to-text in Rust. INT8 quantization, streaming, speaker diarization

🐱 Create a living cat AI that exhibits emotions, reactions, and realistic behavior for an engaging and interactive experience.

Containerized ML inference service exposing a churn prediction model via FastAPI, with Docker-based deployment and AWS-ready architecture.

Microservice to digitalize a chess scoresheet

PoC demonstrating distributed workload orchestration using Ray as the primary compute framework with Prefect for workflow orchestration, supporting cloud-native deployments (Kubernetes)

AI recruitment intelligence platform with resume scoring, role matching, and inference workflow design.

🚀 Event-driven ML inference pipeline using AWS Step Functions and Lambda. Orchestrates a SageMaker image classification workflow with automated confidence-threshold filtering and state machine error handling.

Production-ready ML model serving with FastAPI, TensorFlow, Docker, Kubernetes, and Prometheus. Features CI/CD, health checks, and scalable inference.