Jagruthi Boyapati

About

Computer Science and Engineering student with hands-on experience in machine learning, data analysis, and applied AI projects. Built predictive and retrieval-based systems using Python, Scikit-learn, FastAPI, Docker, and Streamlit.

Experience

• AI/ML Intern
  Averixis Solutions
  Jan 2026 – Apr 2026

Education

• Bachelor of Technology in Computer Science and Engineering
  Parul Institute of Technology
  Computer Science and Engineering · Sep 2022 – May 2026

Skills

• SQL
• C
• Data Preprocessing
• Deep Learning
• FastAPI
• Python
• Prompt Engineering
• Java
• JavaScript
• Feature Engineering
• Matplotlib
• Model Evaluation
• NumPy
• Pandas
• scikit-learn
• Flask
• PyTorch
• Seaborn
• Neural Networks
• LangChain
• Bash
• API Integration Understanding
• Statistical Analysis
• Exploratory Data Analysis
• Natural Language Processing
• RAG
• LLMs
• Transformers
• XGBoost
• Semantic Search
• Application Deployment
• Faiss

Projects

• Chat with World History Textbook
  LangChain, Vector DB, Groq LLM, Streamlit

  Engineered a retrieval-augmented generation conversational system for contextual Q&A over textbooks with grounded responses and source citations.

• Customer Churn Prediction API
  Python, Scikit-learn, FastAPI, Docker, Pandas

  Built an end-to-end predictive machine learning pipeline and a low-latency REST API for churn prediction with automated preprocessing and Dockerized deployment.

• Hybrid Semantic Search Engine
  Python, ChromaDB, Sentence-Transformers, BM25, Streamlit

  Engineered an end-to-end neural information retrieval system using dense vector embeddings, persistent vector storage, hybrid lexical and semantic search, and Streamlit deployment.