Vaishnavi Reche

I’m Vaishnavi Reche, a Data Science Engineering student with a strong foundation in Python, Machine Learning, Neural Networks, and NLP. I enjoy building practical AI tools and end-to-end intelligent systems. I’ve developed projects like a Multi-Agent Research Assistant using FAISS, FastAPI, and LLMs; InsightBot, an automated EDA and PDF-report generator using local LLMs; and AceAI, a real-time interview simulation tool powered by speech recognition and Gemini AI.

I also have internship experience in data analysis, where I worked on data cleaning, preprocessing, visualization, and statistical insights. I’m passionate about Generative AI, RAG pipelines, embeddings, and solving real-world problems through automation. I’m self-driven, curious, and always eager to explore new AI technologies and build products that create real impact.”

I have hands-on experience in AI and Data Science through both internship and project work. I worked as a Data Analyst Intern where I handled data cleaning, preprocessing, visualization, and statistical analysis. Beyond that, I’ve built multiple end-to-end AI projects, including a Multi-Agent Research Assistant using FAISS, FastAPI, and LLMs; InsightBot, an automated EDA and PDF-report generator with local LLMs; and AceAI, a real-time AI interview simulator using speech recognition and Gemini.

My experience covers AI workflows, backend development, data pipelines, RAG systems, and building practical tools independently.

I’m pursuing a Bachelor’s degree in Data Science Engineering, where I’ve learned Python, Machine Learning, NLP, Neural Networks, and Deep Learning. My coursework and projects have given me strong foundations in data analysis, AI model development, and building intelligent applications.