I am a senior-level AI Developer and Cloud Engineer specializing in building and deploying production-grade Agentic AI systems, autonomous multi-agent workflows, and enterprise Retrieval-Augmented Generation (RAG) pipelines.
Unlike simple chatbot setups, I specialize in architecting stateful, self-correcting AI agents that execute complex business logic autonomously while maintaining absolute accuracy, low latency, and predictable operational costs.
Backed by multiple elite certifications—including Google Cloud Professional Data Engineer, Google Cloud Associate Cloud Engineer, and NVIDIA Multimodal AI—I ensure your AI workloads are secure, scalable, and highly optimized for enterprise environments.
Core Competencies & What I Can Do For You:
Agentic AI Workflows: Building advanced multi-agent architectures utilizing LangGraph and LangChain featuring persistent memory states, deterministic decision-making loops, and human-in-the-loop triggers.
Enterprise RAG Applications: Developing highly accurate RAG frameworks using Python, focusing on robust semantic search chunking, vector-space tuning, and elimination of LLM hallucinations.
Multi-Cloud Data Infrastructure: Architecting scalable cloud pipelines across GCP (Vertex AI, BigQuery), AWS (Bedrock, OpenSearch Serverless), and Azure AI Studio.
Multimodal AI Systems: Implementing NVIDIA-centric workflows capable of simultaneously processing, interpreting, and structured-data mining from video, audio, text, and images.
Technical Skill Set Summary:
AI / LLM Frameworks: LangGraph, LangChain, LlamaIndex, OpenAI API, Vertex AI SDK, AWS Boto3.
Languages & Data: Python, R, Advanced SQL, Vector Database management.
Cloud Ecosystems: Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure.
I am looking for a long-term partnership with a company looking to pioneer real, reliable automation or build next-generation AI products. I provide clear daily reporting, structured documentation, and an engineering-first mindset.
