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Keerthi Korrapati

@keerthikorrapati

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GenAI and prompt engineering intern building low-latency, multi-agent conversational AI with measurable impact.

India

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What I'm looking for

I’m looking for a role where I can build GenAI agents and voice/chat experiences with RAG and real-time streaming, ship scalable Python/FastAPI services, and turn data into measurable outcomes like lower latency and higher intent accuracy.

I’m a GenAI and Prompt Engineering intern focused on building production-minded conversational systems—prompting, orchestration, retrieval, and real-time streaming. In my current role, I developed an enterprise-grade VA chatbot with multi-agent orchestration across support, reservations, lead generation, and human handoff.

I engineer scalable AI backends and applied data science solutions, including knowledge base ingestion and high-throughput query processing (10,000+ daily) using Python, FastAPI, Docker, and REST APIs. I also build end-to-end prototypes such as a real-time voice bot and AI location intelligence, using RAG (Pinecone), SSE chat streaming, and multimodal pipelines—aiming for lower latency, higher intent accuracy, and more reliable responses.

Experience

Work history, roles, and key accomplishments

Current

GenAI & Prompt Engineering Intern

Current

Nextiva

Oct 2025 - Present (6 months)

Developed an enterprise VA chatbot with multi-agent orchestration across 4 workflows, using SSE chat streaming to cut response latency by 40% and boost engagement by 30%. Built skill/agent configuration and knowledge-base ingestion pipelines handling 10,000+ queries daily, achieving 95% intent accuracy with Python, FastAPI, Docker, and OpenAI API.

Python fastAPI SSE Chat Streaming Docker Pipecat ﬂows OpenAI API REST APIs

AI & Data Science Intern

Futurense Technologies

Jun 2024 - Sep 2024 (3 months)

Analyzed 500K+ records across multiple datasets and built optimized AI models with TensorFlow and scikit-learn, improving predictive accuracy by 25%. Created Power BI dashboards with real-time Azure data integration to process 100K+ transactions daily, reducing reporting time by 40% using Python, SQL, Pandas, and NumPy.

TensorFlow scikit learn Machine Learning Power BI Python SQL Pandas NumPy

Education

Degrees, certifications, and relevant coursework

Lovely Professional University

Bachelor of Technology, Computer Science and Engineering (AI & Data Engineering)

2022 -

Grade: CGPA: 8.1

Pursuing a Bachelor of Technology in Computer Science and Engineering (AI & Data Engineering) with a CGPA of 8.1. Coursework covers areas such as Machine Learning, Deep Learning, NLP, Computer Vision, Cloud Computing, and Big Data Analytics.