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PANKAJ DEWANGANPD
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PANKAJ DEWANGAN

@pankajdewangan

GenAI Engineer crafting production LLM, RAG, and agentic systems that automate workflows.

India
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What I'm looking for

I’m looking for a role where I can build production LLM/RAG/agent systems that automate enterprise workflows and improve operational metrics—using platforms like Azure OpenAI, AWS Bedrock, and vector databases—while owning end-to-end delivery.

I’m a GenAI Engineer with 2 years of experience building production AI systems powered by LLMs, RAG, and AI Agents. I focus on turning complex intelligence into reliable, automated workflows that reduce manual effort.

As a Senior Analyst (AI Engineer) at Capgemini (Oct 2024–Present), I’ve architected and deployed 5+ production-grade GenAI and agentic AI solutions using LangChain, LangGraph, OpenAI, and AWS Bedrock. I’ve delivered measurable impact across high-volume operations, automating multi-step workflows and improving turnaround times.

I built an enterprise RAG-based Root Cause Analysis (RCA) platform that reduced RCA turnaround time from 10–15 days to 2–4 hours (90% reduction). I also designed semantic ticket resolution using vector databases and similarity search, improving retrieval accuracy and reducing MTTR by up to 80%.

Across projects, I’ve delivered GenAI-powered incident intelligence, multimodal assistant experiences, and production-ready chatbots with Azure OpenAI (GPT-4o), semantic retrieval, and prompt engineering. I’m motivated by building practical systems—fast to use, easy to scale, and grounded in retrieval-quality results.

Experience

Work history, roles, and key accomplishments

CA
Current

Senior Analyst (AI Engineer)

Oct 2024 - Present (1 year 10 months)

Architected and deployed 5+ production-grade GenAI and agentic AI solutions using LangChain, LangGraph, OpenAI, and AWS Bedrock, automating multi-step workflows and reducing manual effort by 80% across 1,000+ daily transactions. Built an enterprise RAG-based RCA platform and a semantic ticket resolution system, reducing RCA turnaround time from 10–15 days to 2–4 hours (90% reduction) and improving

Education

Degrees, certifications, and relevant coursework

Motilal Nehru National Institute of Technology Allahabad logoMA

Motilal Nehru National Institute of Technology Allahabad

Master of Technology, Computer Science & Engineering

2022 - 2024

Grade: 7.5 / 10

Master of Technology in Computer Science & Engineering at NIT Allahabad from 2022 to 2024. Earned a CGPA of 7.5/10.

CB

Christian College of Engineering and Technology, Bhilai

Bachelor of Technology, Computer Science & Engineering

2018 - 2022

Grade: 9.05 / 10

Bachelor of Technology in Computer Science & Engineering at Christian College of Engineering and Technology, Bhilai from 2018 to 2022. Earned a CGPA of 9.05/10.

CB

Christian College of Engineering & Technology, Bhilai

Bachelor of Technology, Computer Science & Engineering

2018 - 2022

Grade: 9.05 / 10

Completed a B.Tech in Computer Science & Engineering from Christian College of Engineering & Technology, Bhilai between 2018 and 2022, with a CGPA/grade of 9.05/10.

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