Mayur Bavisiya — DevOps Engineer
I am an Engineer with decade of experience building scalable, secure, and high-performance backend systems — and more recently, production-grade AI-powered applications. My core expertise lies in Java, Spring Boot, REST APIs, SQL/NoSQL databases, Kafka, Docker, and AWS. I've led the design of micro-services capable of handling tens of thousands of concurrent users, with proven impact across Finance, Telecom, Real estate, and Government domains. In the past 2 years, I’ve transitioned into an AI Application Engineer, building intelligent systems that bridge the gap between backend engineering and LLM innovation. Key work includes: Private, secure LLM-based chatbots deployed on-premises Production-grade RAG (Retrieval-Augmented Generation) pipelines using LangChain, LangGraph, LangSmith, and Langfuse Agentic AI systems that use tools, memory, and decision-making logic for multi-step workflows Semantic document search over enterprise knowledge bases using vector and graph databases Integrated LLM APIs from OpenAI, Anthropic, Hugging Face, and more My deep backend background enables me to deliver full-stack AI solutions — from infrastructure and data layers to inference, orchestration, and tooling. Whether it’s RAG pipelines, agent workflows, or secure deployments, I build systems that are intelligent, scalable, and ready for production. Always exploring, always building — my mission is to bring real-world value through applied AI and software architecture.
Stackforce AI infers this person is a Backend Engineer specializing in AI applications with experience across multiple industries.
Location: Dubai, United Arab Emirates
Experience: 11 yrs 7 mos
Skills
- Java
- Spring Framework
- Python
- Large Language Models (llm)
- Retrieval-augmented Generation (rag)
- Spring Boot
- Spring Mvc
Career Highlights
- Expert in building scalable backend systems.
- Transitioned to AI Application Engineer with impactful projects.
- Proven experience in multiple domains including Finance and Telecom.
Work Experience
Confidential
Engineering (2 yrs 5 mos)
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Education
Bachelor's degree at GTU