
PATTABHI RAMANJANEYULU
@ramanjaneyulupattabhi
I build agentic AI workflows, RAG systems, and production conversational assistants.
What I'm looking for
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
Built agentic AI pipelines that automated data analysis using LLMs with minimal manual intervention. Developed RAG-based chatbots and voice assistants, and implemented multi-agent systems integrating LangChain, Snowflake Cortex AI, and MCP through N8N.
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
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.
Sri Chaitanya Junior College
Intermediate
2018 - 2020
Grade: CGPA: 9.75
Intermediate education completed in July 2020.
Modern High School
SSC 10th
2017 - 2018
Grade: CGPA: 8.7
SSC 10th education completed in June 2018.
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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