Rahul Dash
@rahuldash
I build AI agent evaluation and test automation systems that reduce regression effort.
What I'm looking for
At CloudSufi, I built LLM-as-a-Judge evaluation for the StellarEdge multi-agent AI system, validating tool calling, source grounding, hallucination, and response quality across 50+ test sessions. I also created automated citation checks and DeepEval G-Eval metrics with stakeholder-ready HTML and Excel reporting.
I designed and deployed an internal RAG chatbot using LangChain, FAISS, HuggingFace embeddings, OpenAI LLMs, LCEL, and Streamlit. Alongside GenAI work, I built ETL automation and migrated Selenium suites to Playwright, reducing manual regression effort by 65–70%.
Across CloudSufi, Bristlecone, Cisco Systems, and OnMobile, I've delivered automation frameworks, API and UI testing, ETL validation, and quality strategies for complex products.
Experience
Work history, roles, and key accomplishments
AI Test Engineer
CloudSufi
Jun 2022 - Present (4 years 2 months)
Built an LLM-as-a-Judge evaluation framework for a multi-agent AI system, validating 50+ test sessions. Engineered citation-grounding checks and custom G-Eval metrics, and developed a RAG chatbot using LangChain and FAISS.
Education
Degrees, certifications, and relevant coursework
Gandhi Institute of Technology
Bachelor of Technology, Engineering
2005 - 2009
Pursued a Bachelor of Technology degree, focusing on engineering fundamentals and technical skills.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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