Rithika Kothapalli
I’m Rithik Akoth, an AI Engineer with 3+ years of experience building production AI systems and data pipelines at scale.
About
I’m Rithik Akoth, an AI Engineer with 3+ years of experience building production AI systems and data pipelines at scale. I specialize in LLM agents, RAG and multi-agent frameworks (LangChain/LangGraph), and large-scale data engineering, including entity resolution and customer data platform pipelines that process tens of millions of records.
I enjoy turning complex requirements into reliable workflows—whether that’s designing identity resolution for multi-tenant platforms, automating QA reporting with dashboards and CI/CD, or building GenAI automation agents for RFP/HR use cases. I work comfortably across Python, SQL, Spark/Databricks, Azure/AWS, and vector retrieval stacks to ship practical GenAI solutions that reduce manual effort and improve turnaround time.
- 3 years' experience
- Joined September 2026
Industry experience
- Computers & Electronics
- Software & Internet
- Financial Services
- Professional Services
Work experience
Built an identity resolution pipeline for a multi-tenant automotive customer data platform handling 35M+ records. Combined rule-based and probabilistic matching (Splink) with an LLM-based resolver for ambiguous cases to produce golden customer identities for Customer 360. Developed a Databricks Mosaic AI supervisor agent for dealer audience segmentation across hundreds of tenant accounts and automated QA reporting by integrating a Python dashboard generator into the Azure DevOps CI/CD pipeline.
Led design and development of GenAI automation systems including RFP and HR agents with operations and finance projects in progress. Built end-to-end solutions using LangChain, LangGraph, Python, JavaScript, React, PostgreSQL, RAG pipelines, vector retrieval on Azure, API integrations, and Looker. Reduced manual effort and improved proposal turnaround time through prompt engineering.
Developed AI/GenAI solutions including LLM-based document summarization, an enterprise RAG knowledge assistant, and a natural-language-to-SQL analytics assistant. Built Python/SQL workflows for document ingestion, chunking, embeddings, retrieval, prompt engineering, and structured SQL generation, while supporting evaluation and data preparation.
Education
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