I have around 14 years of experience working with Product , startups and building enterprise solutions . I bring extensive hands-on experience in Cloud technologies across AWS and GCP, coupled with a strong background in product development using Java and Python. Over the years, I’ve built and automated end-to-end infrastructure and CI/CD pipelines from scratch, driving reliability, scalability, and efficiency across multiple environments. My expertise spans infrastructure as code, container orchestration (EKS/GKE), observability, and performance optimization, enabling teams to ship faster with higher confidence. I’m passionate about building resilient systems, improving uptime, and applying SRE principles to achieve measurable operational excellence. I have hands-on experience as an AI Engineer, leveraging modern machine learning and generative AI frameworks to design, train, and deploy intelligent systems at scale. My work spans building LLM-powered applications, integrating LangChain, OpenAI, and Hugging Face models, and developing retrieval-augmented generation (RAG) pipelines for domain-specific knowledge systems. I’ve implemented vector databases (FAISS, Pinecone) for semantic search, optimized prompt engineering for accuracy and cost efficiency, and deployed AI services through FastAPI and containerized microservices on AWS and GCP. My focus has always been on creating production-ready, scalable AI systems that deliver measurable business impact.…I have around 14 years of experience working with Product , startups and building enterprise solutions . I bring extensive hands-on experience in Cloud technologies across AWS and GCP, coupled with a strong background in product development using Java and Python. Over the years, I’ve built and automated end-to-end infrastructure and CI/CD pipelines from scratch, driving reliability, scalability, and efficiency across multiple environments. My expertise spans infrastructure as code, container orchestration (EKS/GKE), observability, and performance optimization, enabling teams to ship faster with higher confidence. I’m passionate about building resilient systems, improving uptime, and applying SRE principles to achieve measurable operational excellence. I have hands-on experience as an AI Engineer, leveraging modern machine learning and generative AI frameworks to design, train, and deploy intelligent systems at scale. My work spans building LLM-powered applications, integrating LangChain, OpenAI, and Hugging Face models, and developing retrieval-augmented generation (RAG) pipelines for domain-specific knowledge systems. I’ve implemented vector databases (FAISS, Pinecone) for semantic search, optimized prompt engineering for accuracy and cost efficiency, and deployed AI services through FastAPI and containerized microservices on AWS and GCP. My focus has always been on creating production-ready, scalable AI systems that deliver measurable business impact.WWWW…