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Zishan Ghaniwala

@zishanghaniwala

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Generative AI and backend engineer building multi-agent systems that ship fast and scale.

India

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What I'm looking for

I’m looking for a role where I can build and deploy generative AI systems—RAG, multi-agent workflows, and automation—while taking ownership of backend performance and full-stack delivery in a fast, engineering-focused team.

I build production-ready Generative AI workflows that turn messy data into reliable automation. Using Python, LangChain, and the Gemini LLM, I’ve automated processing of 4,764 SKUs—cutting manual data entry time from 3 hours to seconds per batch.

I design autonomous, multi-agent pipelines that generate high-quality technical content. I used CrewAI with dedicated “Researcher” and “Writer” agents, integrated Context7 MCP for real-time documentation, and automated the production of highly technical articles on a weekly cadence.

I’m equally comfortable owning backend performance and full-stack delivery. From migrating 3,000 repair manuals to WordPress (page loads from 4.0s to under 0.9s) to building cloud-native RAG services with FastAPI, Pinecone, and streaming Q&A, I focus on end-to-end engineering—from architecture to deployment.

Experience

Work history, roles, and key accomplishments

Current

Junior Engineer

Current

Web Turtles

Jun 2023 - Present (3 years)

Engineered LangChain/Pandas Generative AI workflows to process 4,764 SKUs, cutting manual data entry from ~3 hours to seconds per batch. Built multi-agent and RAG systems, migrated 3,000 repair manuals to WordPress (4.0s to <0.9s), and increased sales 2x via a custom PayPal integration.

Python Lang Chain LangGraph fastAPI Pinecone Supabase Langsmith MCP