Hari Priya
AI & Data Science engineer with practical experience building LLM-powered applications, agentic AI workflows, and Retrieval-Augmented Generation (RAG) pipelines
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About
AI & Data Science engineer with practical experience building LLM-powered applications, agentic AI workflows, and Retrieval-Augmented Generation (RAG) pipelines using Python, LangChain, and LangGraph. Skilled in integrating deep learning APIs, working with vector databases, and deploying ML models via REST APIs. Strong command of Python, SQL, and cloud tools with a proven track record of delivering end-to-end AI solutions — from data ingestion to production deployment.
Experience
AI / Data Science Intern at Brainovision Pvt. Ltd. (2024-03 – 2024-07)
- Built ML pipelines using scikit-learn & XGBoost with modular ETL validation, processing 10,000+ records per run and reducing data inconsistencies by ~30%.
- Integrated LLM APIs and engineered prompt templates for automated text classification using few-shot prompting and context window management.
- Optimized SQL queries by 20% through index tuning and built pytest suites ensuring reliable model outputs across the pipeline.
- Collaborated in an Agile team and secured a top-3 finish in an internal hackathon by building a fully working AI prototype end-to-end.
Education
B.Tech in Artificial Intelligence & Data Science – Malla Reddy College of Engineering (2022 – 2026)
Intermediate (MPC) – Narayana Junior College (2022)

