Krishna R Kulkarni

Ambitious computer science student with a robust foundation in programming languages including C, C++, Python, and Java, as well as core concepts in Data Structures and Algorithms (DSA) and DBMS. Skilled in developing efficient solutions and improving software performance. Aspires to contribute to forward-thinking organizations while solving intricate technical problems. Focused on advancing expertise and fostering innovation.

• Private Document Q&A Bot, August 2025: Developed an interactive web application using Streamlit that allows users to upload PDF documents and ask questions in natural language. The system leverages Retrieval-Augmented Generation (RAG) with LangChain and FAISS to retrieve relevant document chunks and generate contextually accurate answers
• Compression Buddy, Jan 2025: This project develops a machine learning model to predict the most effective compression tool for a given file without applying actual compression. By analyzing file characteristics and learning from past compression results, the model helps users select the optimal method for storage and transfer efficiency
• Route-wise, March 2025: A sentiment-driven customer support routing system
• Interactive F1 App, Jan 2024: A comprehensive SQL-based database for managing and analyzing Formula 1 data
• Smart Parking System, Jan 2024: Used IR sensors and Arduino to create a microcontroller-based smart parking system

• Python Fundamentals, Infosys Springboard
• Accenture North America Data Analytics and Visualization Job Simulation, Forage
• Data Analytics and Visualization Job Simulation, Forage

• I enjoy sports like football
• Video Games, looking to work in the field of Game Development sometime
• Currently learning German to enhance communication and cultural awareness
• Part of the college Rotaract club that performs social service for the poor and needy