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PRABHAT CHAURASIYAPC
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PRABHAT CHAURASIYA

@prabhatchaurasiya

I build production generative AI chatbots, RAG applications, and agentic workflows for banking teams.

India
Message

What I'm looking for

I'm looking to build and ship production Generative AI, RAG, and agentic systems end to end, applying my banking-domain reliability mindset to meaningful automation and intelligent user experiences.

At Tata Consultancy Services, I build and deploy Generative AI chatbots for banking clients including Deutsche Bank Wealth Management, IKANO Bank, and CIBC. My work includes multi-turn conversational systems, RAG applications over bank policy documents, and agentic ServiceNow integrations that raise incidents and retrieve request status through tool calling.

I bring a reliability-first approach shaped by L2 production support for high-availability core banking applications, where I led P1/P2 incident response, maintained zero SLA breaches for 12 consecutive months, and automated health checks and monitoring with Shell scripts.

Beyond client delivery, I've built multi-agent resume analysis, document Q&A, AI voice-assistant, and computer-vision projects using LangGraph, LangChain, Python, PyTorch, TensorFlow, FastAPI, Streamlit, and Docker. I enjoy taking AI systems from prompt engineering and evaluation through deployment.

Experience

Work history, roles, and key accomplishments

TS

Sr. Technical Analyst, L2 Support

Jun 2022 - Apr 2024 (1 year 10 months)

Managed L2 production support for high-availability core banking applications across US and European markets with strict SLA compliance. Led P1/P2 incident response, root cause analysis, and post-incident reviews, maintaining zero SLA breach record over 12 consecutive months.

Education

Degrees, certifications, and relevant coursework

TR

Trinity Institute of Technology and Research

Bachelor of Technology, Computer Science and Engineering

2018 - 2022

Grade: 8.67/10

Pursued a Bachelor of Technology in Computer Science and Engineering, graduating with a GPA of 8.67/10.

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