async-processing

Production-grade multimodal RAG for financial document intelligence. Chart understanding · hybrid retrieval · numeric guardrails · multi-tenancy · full observability.

Scalable event processing for high-throughput systems

Asynchronous document processing service with configurable pipeline, pluggable providers, and event-driven architecture using Redis Streams and background workers.

AI-powered backend for user requests, enabling seamless chatbot integration... Created at https://coslynx.com

Distributed RAG ingestion pipeline with idempotent vector indexing, DLQ-backed retries, and deterministic failure recovery for production AI systems

AI workflow orchestration system for document analysis. Async pipelines, LLM integration, response validation, retries, circuit breakers, and cost observability.

PyQt5 GUI controlling a background daemon that fetches messages from a server, processes them with a local AI via Ollama and Chroma, and sends back the response. Perfect for building automated, intelligent messaging flows.

Decision Copilot is a CLI-first, LLM-powered decision analysis tool that runs structured multi-agent reasoning pipelines with full persistence, explainability, and reproducibility.

Scalable full-stack web application for asynchronous morphological image processing built with FastAPI, RabbitMQ, Redis and S3-compatible storage.

Async job processing platform with FastAPI, PostgreSQL and Redis. Supports retries, priority queue and horizontal scaling with workers.

Personal self-hosted audio library. Paste a YouTube URL → trimmed, playable mp3 stored in MinIO.

📫 Asynchronous email deliverability verifier that performs MX lookups, SMTP RCPT probes, and catch-all detection with retries, resume support, and CSV/JSON reporting.

healthcare appointment scheduling system designed to streamline patient-doctor interactions and medical record management.

A powerful, full-stack Open Source Intelligence (OSINT) workstation that automates username footprinting across the web. The platform utilizes an asynchronous decoupled architecture to execute background investigations, stream network telemetry, and compile raw data into a clean, human-readable visual intelligence dossier.

Backend projects covering pagination, caching, internationalization (i18n), and queuing systems in JavaScript. These projects focus on efficient data handling, performance optimization, multi-language support, and asynchronous task management for building scalable applications.

Distributed Notification Service built with FastApi, Kafka, Redis, and MySQL — featuring async message processing, rate limiting, idempotency, and caching. Microservice architecture.

Learning Management System backend built with Django Ninja.

Local batch-processing dashboard built with Flask, Celery, Redis, and SQLite for background job execution and monitoring.

Production-leaning Django backend service for customer segmentation and automated outreach, featuring RESTful APIs, asynchronous campaign execution, and a minimal internal operations dashboard.

Project 1.7 of my Cloud Engineering Roadmap: AWS SNS and SQS Fan-Out Message Queue architecture using LocalStack, Docker, AWS Lambda, and Python to demonstrate event-driven microservices, asynchronous processing, loose coupling, fault tolerance, and scalable cloud messaging patterns.