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AliasgarZakir Merchant
Mid-level AI Engineer specializing in multi-agent LLM systems and multimodal tutoring
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About
LLM/agentic systems builder who has deployed multi-agent educational chatbots using LangChain + LangGraph, with LangFuse-based tracing and FastAPI hosting. Focused on production reliability and performance (latency reduction via agent decomposition and caching) and on evaluation/testing (routing test scenarios, LLM-as-judge). Partnered with product to add image understanding by parsing and storing images in S3, expanding chatbot coverage to 30+ books with images.
Experience
Education
Key Strengths
- Built and deployed multi-agent LLM chatbots for education use cases
- Reduced chatbot latency by decomposing a monolithic agent into specialized agents and adding caching
- Designed reusable agent components with provider-agnostic LLM swapping in mind
- Implemented observability/tracing for agent responses (tokens, latency, prompts) using LangFuse
- Created test datasets and routing test scenarios; used prompt testing to catch misrouting cases
- Collaborated with product stakeholders to deliver multimodal capability; expanded coverage to 30+ image-based books via S3-backed image handling
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