Pradeep Asetti

AI-focused IIT graduate with hands-on experience building practical machine learning and Generative AI applications. Experienced in Python, LLM-powered chatbots, Retrieval-Augmented Generation (RAG), FAISS, Cohere, Flask, prompt engineering, speech-to-text, and predictive modeling. Built end-to-end projects spanning healthcare ML, geospatial analytics, and AI applications, with a strong focus on experimentation, problem-solving, and real-world deployment.

AI Developer Intern - Edunet Foundation

(2025-05 - 2025-06)

• Developed a conversational AI chatbot using Cohere LLMs to answer queries from custom knowledge sources.
• Built a Retrieval-Augmented Generation (RAG) pipeline with embeddings and FAISS vector search for context-aware responses.
• Used prompt engineering to improve conversation flow, tone, and multi-turn continuity; added Speech-to-Text for voice interaction.
• Integrated the AI workflow into a Flask web application with session management and Flask-Limiter rate limiting.

Data Analyst Intern - Aishwi Technologies

(2025-07 - 2025-10)

• Cleaned and audited a ~40,000-record hospital dataset, resolving missing values, duplicates, invalid data types, and illogical Length of Stay entries.
• Performed EDA and feature engineering across 39+ variables to identify patterns in LOS, cost, outcomes, and readmission risk.
• Built and evaluated Logistic Regression and Random Forest models; contributed to a final model achieving 94.77% AUC.
• Collaborated in a 10-member team to translate healthcare data into predictive insights and practical recommendations.

B.Tech - Electrical Engineering - Indian Institute of Technology, Bhubaneswar (2020 - 2024)