Wasay M.

I turn Vibe-Coded AI prototypes and experimental systems into enterprise-ready, scalable AI and cloud solutions. With 6+ years of experience in multi-agent AI, RAG pipelines, HPC systems, and cloud-native applications, I specialize in bridging the gap between research-level code and robust, maintainable, production-grade systems. I have led and delivered end-to-end AI platforms, evaluation frameworks, and high-performance computing systems, including LLM evaluation systems, embeddings, vector databases, FastAPI services, and multi-agent orchestration, ensuring reliability, observability, and performance at scale. My work has optimized workflows, automated compliance audits, and implemented secure, high-availability AI systems for enterprise workloads. Core Expertise & Tech Stack: - AI & Machine Learning: Multi-agent AI, RAG systems, GPT-based pipelines, embeddings, NLP, Transformers, TensorFlow, PyTorch, LangChain - Cloud & System Architecture: AWS, Docker, Kubernetes, CI/CD pipelines, Redis, high-concurrency FastAPI, cloud-native scalable services - Enterprise-Ready Development: Production hardening, structured logging, authentication, rate-limiting, vector database integration, monitoring & alerting - HPC & Supercomputing: GPU clusters, RISC-V HPC, distributed computing, Slurm, MPI, OpenMP, CUDA, large-scale AI workloads - Evaluation, Observability & Optimization: LLM performance analysis, hallucination & faithfulness metrics, latency & cost monitoring, workflow optimization My motto is to help businesses turn research code, prototypes, and experimental AI into fully operational, production-ready systems that scale, perform, and integrate seamlessly with existing infrastructure. Whether it’s RAG pipelines, multi-agent orchestration, HPC systems, AI-powered automation, or cloud optimization, I deliver enterprise-grade AI systems designed for reliability, performance, and efficiency.