K S Vaishnavi

AI/ML Engineering student · Python, RAG & Machine Learning

Ballari, Karnataka, India

@vaishnavi_k_s

GitHub

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🎓 Bachelor of Engineering in Computer Science (Artificial Intelligence) at Ballari Institute of Technology and Management · Graduating 2028

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About

AI/ML engineering student with hands-on experience building machine learning, RAG, and Python-based applications. Focused on model training and evaluation, feature engineering, and retrieval pipelines, with projects spanning GenAI, full-stack development, and predictive modeling.

Education

2028

Bachelor of Engineering in Computer Science (Artificial Intelligence)

Ballari Institute of Technology and Management

Artificial Intelligence · 2028

Artificial Intelligence
2024

Pre-University College

SriChaitanya Group of Institutions

2024

Skills

<3 months

C CSS RAG HTML Java Bm25 NumPy Faiss Python Pandas Node.js XGBoost Streamlit LangChain Express.js Statistics scikit-learn Random Forest Decision Trees Linear Regression Feature Engineering Crossencoder Reranking KNN (K-Nearest Neighbors) Logistic Regression ( in progress )

Tools / apps / platforms

<3 months

Git MySQL Gemini GitHub MongoDB Postman

Projects

SolarSense RAG

Python, Streamlit, LangChain, Gemini, FAISS, BM25

Domain-specific RAG system for answering questions on PM Surya Ghar, solar energy, and battery systems. Implemented dense retrieval with FAISS and improved retrieval using BM25, Reciprocal Rank Fusion, and cross-encoder reranking. Designed a 27-question evaluation framework and achieved 100% Recall@5/10, 92.6% faithfulness, 90% relevance, and 100% refusal accuracy.
Household Energy Predictor

Python, Pandas, NumPy, Scikit-learn, XGBoost

Machine learning regression system to predict Global Active Power using 13 engineered temporal and cyclical features from 2M+ household energy records. Trained XGBoost and integrated the model into a Streamlit prediction application.
Real-Time Speech Dictation Engine

JavaScript, Node.js, Express.js, MongoDB

Real-time speech-to-text application using browser-based speech recognition and Node.js/Express. Included transcription history, text formatting, export, and MongoDB storage with TXT, JSON, and PDF export support.

Courses & certifications

Enterprise Design Thinking Practitioner (Digital Credential) · IBM SkillsBuild · 2026
SST Yugantar Hackathon Participation Certificate · Neo-CodeX 8 – IEEE Computer Society BITM · 2025

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