Hi, I’m Vraj Routu — a Senior Architect and Rust Developer passionate about building AI Agents that go far beyond simple Q&A systems. My focus is on designing high-performance, GPU-accelerated AI systems that deliver actionable intelligence, autonomous task execution, and cloud-native scalability.

I thrive at the intersection of Rust performance engineering, AI model training, and cloud computing, bringing cutting-edge innovation into real-world automation and intelligence.

• 🔭 Mission: Architect end-to-end intelligent automation systems powered by Rust and GPU-optimized AI models.
• 🌱 Currently Exploring: LLM Agent frameworks in Rust, GPU optimization for model training, and multi-agent coordination frameworks.
• 🎯 Goal: Build cloud-native AI ecosystems that merge performance, scalability, and intelligence.

• Developing concurrent, memory-safe, and blazingly fast systems in Rust.
• Building microservices, data pipelines, and agentic frameworks leveraging Rust’s performance advantages.
• Experienced in WebAssembly, Tokio async runtime, and FFI integration with Python for hybrid AI workloads.

• Skilled in GPU-based fine-tuning and inference optimization for large language models (LLMs).
• Experience in quantization (GGUF, INT8) and multi-GPU training to maximize throughput and minimize latency.
• Integration of OpenAI, Llama 3, and vision-language models for intelligent automation and task orchestration.

• Designing and deploying AI infrastructure using Azure AKS, Databricks, and Azure Synapse Pipelines.
• Expertise in containerized AI workloads, GPU-enabled clusters, and cloud-native inference pipelines.
• Implementing secure, cost-optimized MLOps pipelines for scalable AI delivery.

• Rust for systems performance, concurrency, and agent execution.
• Python for AI/ML modeling, orchestration, and experimental prototyping.
• Seamless integration between Rust’s performance layer and Python’s AI ecosystem for optimal hybrid systems.

Developing a high-performance multi-agent framework in Rust designed for GPU-powered inference and decision orchestration. The system focuses on concurrency, task automation, and efficient GPU utilization.

Creating a Rust + Python hybrid agent that ingests market data, performs real-time GPU-based trend prediction, and executes autonomous BUY/SELL decisions.

Architecting a Rust-powered orchestration layer for deploying AI models on cloud GPUs, ensuring scalable, fault-tolerant, and cost-efficient execution environments.

• 🧠 Passionate about combining Rust performance with AI intelligence to unlock new frontiers in automation.
• ⚡ Deeply fascinated by GPU parallelism and LLM optimization for enterprise-scale deployments.
• 🌍 My long-term vision: Build autonomous AI ecosystems that handle complexity — letting humans focus on creativity and strategy.