BANSARI KIKANI

|

Data Scientist | AI Agent Architect & GenAI Researcher | Co-building PrompusAI | Enterpreneur | Business Analysis | Automation Strategy | Startup Enthusiast

interactive bot

About Me

Bansari Kikani

Data Scientist

My journey into AI started with a fascination for what's possible when technology and creativity intersect. This same drive that leads me to build complex technical systems is inspired by my interests in music and art. It's about finding harmony in the data and a clear vision in a sea of complexity. Professionally, I'm a hands-on AI/ML Engineer specializing in the design and development of multi-agent AI systems. My experience ranges from crafting a finance and reporting AI agent to building document-parsing systems with memory and Retrieval-Augmented Generation (RAG).

My focus is on creating practical, production-ready AI tools that directly solve business problems for startups. I believe in modular, scalable architectures and the power of intelligent automation. If you're a founder or investor and want to talk about how AI agents can transform operations, drive innovation, or simply save you from 'spreadsheet hell,' I'd love to connect.

SQL
Python
GenAI
Java
Flask
LLM

Education

2021-2024

Bachelor of Science

Information Technology

Focused on software development, data structures, algorithms, and web technologies.

Lead Speaker Workshops on AI/ML
2024-2026

Master of Science

Data Science

Specialized in machine learning, big data analytics, and AI-driven solutions. Mostly working on Generative AI and LLMs with RAG and MCP servers.

Comprehensive study on Meta feature selection - Research Paper

Certificates & Projects

Certifications

AWS Certificate

Supervised Machine Learning

Stanford

2023
IBM LLM Certificate

Introduction to Large Language Models

IBM

2025
Python Certificate

LLM'S as Operating Systems: Agent Memory!

Deep Learning

2025
AWS Certificate

What is Generative AI

Microsoft

2025

Featured Projects

RAG Chatbot Project

Meta-Feature Selection

My research paper on meta-feature selection techniques, exploring advanced methods to enhance machine learning model performance through optimal feature selection. Selection of best model to determine the one best for healthcare data.

Metamodel SVM Random Forest Decision Tree
RAG Chatbot Project

Interactive Portfolio

This very portfolio you're viewing! A showcase of modern web technologies and interactive design principles.

HTML5 CSS3 JavaScript
RAG Chatbot Project

RAG based chat bot through scraped URL'S

A smart bot that works offline on the scraped data from the web in json format and answers the queries based on that data using RAG and LLM models. It create chromadb vector database to store the data and use it to answer the queries.

Python RAG Agentic AI ChromaDB API/Quart

Let's Connect

Ready to collaborate?

I'm always open to discussing new projects, creative ideas, or opportunities to be part of your visions. I'm always working on ideas for new startups and projects. Let's connect and see how we can create something amazing together!

bansari45603@gmail.com