RAG Systems
Designing knowledge-grounded AI applications using document ingestion, chunking, embeddings, retrieval and LLM generation.
Senior Software Engineer with 13+ years of experience building enterprise applications, APIs, integrations and database-driven systems — now focused on practical AI engineering with RAG, LLMs, MCP, Custom GPTs, vector databases and workflow automation.
I enjoy taking complex business requirements and turning them into reliable, maintainable software. My core background is in C# and the .NET ecosystem, enterprise integrations, APIs and databases. More recently, I have been building practical AI solutions that connect LLMs with private knowledge, tools and business workflows.
My experience spans enterprise retail software, SaaS products, custom add-ons, third-party integrations, REST APIs and database solutions. My current AI work includes Retrieval-Augmented Generation (RAG), MCP servers, Custom GPTs, LLM integrations, vector databases, local models and n8n workflow automation.
Applying AI where it can solve a real problem — connecting models with knowledge, tools, APIs and business workflows.
Designing knowledge-grounded AI applications using document ingestion, chunking, embeddings, retrieval and LLM generation.
Exploring Model Context Protocol to connect AI applications with external tools, APIs, services and data.
Building applications around LLM APIs, prompting, context, structured outputs and domain-specific AI assistants.
Creating specialized AI assistants and exploring tool-using agentic workflows for focused business use cases.
Designing AI-powered workflows that connect models, webhooks, APIs and business systems with minimal custom code.
Exploring local and self-hosted AI architectures using local models, vector databases, Docker and private knowledge bases.
A mix of AI engineering, enterprise software and integrations.
Private knowledge assistant designed to answer questions from controlled PDF/document knowledge bases with retrieval-grounded responses.
Exploring MCP server patterns for exposing tools and business capabilities to AI applications in a structured way.
n8n-based automation concepts connecting LLMs, webhooks, APIs and external services to streamline business workflows.
Custom retail software extensions and integrations supporting business workflows, third-party services and enterprise requirements.
Designing REST API integrations for payment, loyalty, messaging and external business platforms.
Scalable applications and services backed by relational databases with a focus on performance, reliability and maintainability.
Designing, developing and implementing enterprise software solutions, retail add-ons, APIs and third-party integrations. Working across .NET, C#, databases and modern AI/automation technologies.
Led a team of engineers in a SaaS environment, coordinating development and delivery of software solutions for clients while contributing to technical implementation.
Designed, coded and implemented software solutions focused on client requirements, application functionality and efficiency.
Developed robust and user-friendly software solutions while collaborating with the development team on application functionality and client requirements.
A practical stack spanning enterprise software development and modern AI application engineering.
SDITM College · Kurukshetra University
Board of School Education Haryana
Board of School Education Haryana
I'm interested in building practical software, AI applications, integrations and automation that create measurable value.
ravinderyadav347@gmail.com · contact.ravinderyadav@gmail.com