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mlops

Hybrid cloud-edge ML system for predictive rain control with automated retraining, monitoring, and Raspberry Pi hardware actuation.

High-performance interactive companion dashboard for AI recommendation systems. Built by Pavan Badempet.

Enterprise Clinical AI & Healthcare Lakehouse Platform: FHIR R4 / OMOP CDM compliance, PySpark Tabular Foundation Models, and HIPAA/ABDM-ready chatbot. Engineered by Pavan Badempet.

A generic implementation roadmap that can facilitate MLOps for any ML problem in detail. This roadmap is intended for reducing problem solutioning, and using problem solving instead.

VERA (Video Extraction and Recognition Analysis) is a fully on-premises video OCR pipeline for extracting and recognizing text (license plates, street signs, billboards) from dashcam/driving footage. Built with PaddleOCR 3.x, OpenCV, FastAPI, PostgreSQL, and MinIO, with a PySide6 desktop GUI. Consists of two components: vera-engine (OCR pipeline, backend API, CLI) and vera-desktop (GUI layer). No cloud inference, all processing runs locally.

BAVAR-BLED là một kiến trúc lai kết hợp Bayesian Model Averaging, Vector Autoregression, Black-Litterman dưới phân phối Elip, Transformer, CNN và TD3 để xây dựng chiến lược phân bổ danh mục động, có khả năng thích ứng theo trạng thái thị trường và kiểm soát rủi ro đuôi dày.

CICD project for a sentiment analyzer (deployment on lightining.ai gpu)

Enterprise-grade Medical AI Platform with FastAPI, Kubernetes, Monitoring and AKS-ready deployment architecture.

Production-ready RAG starter: hybrid search, chunking strategies, observability (Prometheus/Grafana), MLflow tracking, drift detection, GDPR deletion, and evaluation. The parts the tutorials skip.

Automated LLM Benchmarking on GPU - tokens/sec, latency percentiles, VRAM profiling, multi-format support (HuggingFace, GGUF, GPTQ)

https://ayinedjimi-consultants.fr

Automated Dataset Creation & Publishing Pipeline - Scrape, clean, transform, validate and publish datasets to HuggingFace Hub

https://ayinedjimi-consultants.fr

Hybrid credit intelligence platform using XGBoost, RAG, Terraform and GitLab CI/CD.

This is the code repository associated with my development notes notebook.

I need it to improve development efficiency. I study concepts, prototype solutions, save them here along with their comments. When needed, I know where I can quickly find code examples to reuse.

Simulation of a real hospital scenario with a ML model in production

This repository showcases an end-to-end machine learning project implemented with a focus on MLOps.

MLflow deployment plugin for Knative targets

Fork of Rubrix for natural language processing machine learning dataset labeling and RLHF (reinforcement learning human feedback) and active learning. Original license was Apache 2.0 which allows Argilla.io to modify the software without sharing it with the community.