jacob darwin
@jacobdarwin
I build scalable generative AI applications, RAG platforms, and multi-agent workflows.
What I'm looking for
I've built an Enterprise AI Knowledge Assistant using Python, LangChain, ChromaDB, and Groq for intelligent document question answering. I developed the full RAG pipeline, from document ingestion and semantic chunking to embeddings, vector indexing, and contextual retrieval.
I've also created an AI Engineering Workflow Orchestrator with LangGraph, MCP, and AI agents. It enables Planner, Developer, Reviewer, Testing, and Documentation agents to collaborate on software engineering tasks through tool calling, structured reasoning, and autonomous workflow execution.
I'm passionate about building scalable AI solutions with clean, modular backend architecture and continuously learning production-grade AI technologies.
Experience
Work history, roles, and key accomplishments
Generative AI Engineer
Self Employed
Developed AI applications using Python, LangChain, LangGraph, RAG, and AI Agents. Built enterprise-style backend systems and multi-agent workflows.
Education
Degrees, certifications, and relevant coursework
Jeppiaar Engineering College
Bachelor of Technology, Artificial Intelligence and Data Science
2022 -
Grade: 7.8/10
Pursuing a B.Tech in Artificial Intelligence and Data Science, with a focus on AI and data science applications.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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