Our Project References
Explore our portfolio of successful projects. We specialize in building high-performance, reliable systems that make a real impact.
Rag-RS: Local LLM Inference with VectorDB
Rag-RS is an LLM inference engine optimized for local deployment, enriched with vector database integrations to provide contextual accuracy and efficiency in processing queries.
IoT MQTT Server for Real-Time Data Streaming
An IoT MQTT server built in Rust designed for high-performance data streaming and communication between IoT devices. It supports secure, scalable, and efficient messaging protocols.
Big Data Processing Pipeline in Rust
A scalable and efficient big data processing pipeline handling over 50TB of data daily. Built in Rust, it leverages modern libraries like Polars and Rayon to ensure fast computations and optimized memory usage.
Object Detection with Local LLM and YOLO/Detectron2
An advanced object detection system combining the power of local large language models (LLMs) with YOLO and Detectron2. It processes real-time drone video streams for precise object recognition and classification.
Real-Time Drone Video Stream Server
A high-performance real-time stream server built in Rust for managing and delivering drone video streams. The system ensures low latency, scalability, and efficient resource utilization, making it suitable for critical live streaming applications.
Stochastic-RS: Library for stochastic analysis and quantitative finance
Stochastic-RS is a specialized Rust library designed for generating and simulating fractional stochastic processes. It is widely used in synthetic data generation for training machine learning models, supporting advanced mathematical modeling and data analysis.
Rust-Powered Blog Engine with SurrealDB
A fully Rust-based blog engine built with a modern web framework, leveraging Leptos for frontend, Tokio and Axum for backend, and SurrealDB for data management.