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PATTABHI RAMANJANEYULUPR
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PATTABHI RAMANJANEYULU

@ramanjaneyulupattabhi

I build agentic AI workflows, RAG systems, and production conversational assistants.

India
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What I'm looking for

I'm looking to build agentic AI, LLM, RAG, and automation systems where I can deliver reliable intelligent workflows, apply ML/DL, and continue growing through real-world product development.

At Tata Elxsi, I build agentic AI pipelines that automate intelligent data analysis with LLMs and human-in-the-loop workflows.

I've developed RAG-based chatbots and voice assistants using open-source models, with a focus on high performance and low latency. I also build multi-agent systems integrating LangChain, Snowflake Cortex AI, MCP, and n8n.

My work includes a production chatbot on AWS Bedrock AgentCore with identity-based access, guardrails, persistent memory, tool integration, monitoring, logging, and session traceability. I also developed a hybrid RAG system using semantic retrieval, keyword search, reranking, contextual compression, and conversational memory.

Previously, at the Centre for Development of Telematics, I worked on user location, next-location, tower-handover, and time-to-handover prediction. I bring a Computer Science and Engineering foundation in AI and ML, including Python, ML/DL, classification, clustering, GANs, and data engineering.

Experience

Work history, roles, and key accomplishments

CT

Machine Learning Intern

Centre for Development of Telematics

Jul 2023 - Sep 2023 (2 months)

Contributed to projects involving user location prediction, next tower handover prediction, and time to handover prediction. Applied machine learning techniques to improve prediction accuracy and efficiency.

Education

Degrees, certifications, and relevant coursework

PU

Presidency University

Bachelor's, Computer Science and Engineering

2020 - 2024

Grade: CGPA: 8.51

Bachelor's degree in Computer Science and Engineering with a specialization in AI & ML, completed in July 2024.

SC

Sri Chaitanya Junior College

Intermediate

2018 - 2020

Grade: CGPA: 9.75

Intermediate education completed in July 2020.

MS

Modern High School

SSC 10th

2017 - 2018

Grade: CGPA: 8.7

SSC 10th education completed in June 2018.

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