Hello, I'm

Priyanshi Bhatnagar

Co-Founder & AI Researcher

Building intelligent systems that drive autonomous decision-making. Specializing in Agentic RAG, Multiagent Systems, and scalable AI solutions.

Priyanshi Bhatnagar

About Me

My passion lies in developing AI systems that drive autonomous decision-making across industries. From building multi-tenant Agentic RAG systems to using knowledge graphs and query rephrasing for more accurate responses, I aim to solve complex problems. My experience in Computer Vision, Generative AI, and Healthcare applications demonstrates my commitment to advancing AI research and creating scalable, multi-modal solutions that adapt to real-world challenges. Feel free to explore my work and reach out for collaborations!

Currently, I'm focused on building scalable AI systems at ByteBrain, where we develop cutting-edge Agentic RAG systems and multiagent solutions for enterprise clients.

Intelligent Multiagent Systems

Collaborative problem-solving and dynamic decision-making

Multi-Modal LLMs & NLP

Understanding and responding across diverse data types

Knowledge Graphs

Contextual reasoning for improved retrieval and insights

Scalable AI Systems

Real-time applications and large-scale deployment

AI in Healthcare

Addressing industry-specific challenges through AI

Work Experience

Co-Founder

Sheridan, WY
June 2024 – Present
Current
ByteBrain
  • Spearheaded research and development of a scalable multi-tenant Agentic RAG system, applying advanced techniques like query rephrasing with contextual understanding to improve response accuracy.
  • Utilized knowledge graphs to enrich data interpretation, enabling the system to better understand user inputs and deliver more relevant responses.
  • Developed reranking mechanisms through applied research, ensuring the prioritization of the most relevant information in complex queries.
  • Expanded the system's capability to search both external web sources and internal knowledge bases, addressing complex queries beyond the scope of the vector database.

Co-Founder

Casper, WY
April 2023 – May 2024
Rapid Retailers
  • Conducted research to build an intelligent agent that autonomously processes supplier data using real-time Amazon metrics, advancing profitability analysis through multi-source data integration.
  • Designed an automated system to identify profitable products, using real-time alerts via Slack, and applied AI research to improve decision-making efficiency.
  • Created an autonomous AI-powered system that generated over $100k in revenue with a 50% ROI, streamlining operations and showcasing AI's practical business applications.

Data Scientist

Houston, TX
February 2022 – December 2022
Nabors Industries
  • Pioneered research on YOLO-based computer vision models, integrated with IP cameras for real-time activity monitoring, achieving over 91% accuracy and exploring real-time AI applications in safety systems.
  • Automated the data collection and labeling process, improving efficiency by over 40%, demonstrating the potential for AI-driven optimization in data workflows.
  • Enhanced model accuracy to 97% through iterative re-training with custom data points, reflecting focus on improving model robustness through continuous research and experimentation.
  • Deployed a scalable machine learning model using a multi-rig, load-balanced architecture to ensure that the system operates efficiently at scale.
  • Developed a Generative AI chatbot for providing process guidance and onboarding support, showcasing the application of conversational AI in improving decision-making and automation in dynamic environments.

Systems Management Analyst

Gurugram, India
July 2018 – July 2020
Optum Global Solutions
  • Carried out a systematic study to analyze large medical datasets to design an AI-driven medicine recommendation system, improving decision-making for healthcare professionals and exploring AI's role in healthcare innovation.
  • Developed PingFederate-based login pages, focusing on optimizing system efficiency and reducing downtime.
  • Built an interactive Tableau dashboard for real-time server activity and resource load tracking, exploring data visualization techniques to support real-time decision-making.
  • Modernized legacy Java codebases by upgrading to the latest Java version, improving performance and maintainability of the existing systems.

Research & Publications

Publications

Under Review

AI-Driven Compliance Verification for Pharmaceutical Advertising: A Novel Approach Using Multi-Agent Systems

Priyanshu Sharma, Priyanshi Bhatnagar

Research Interests

Intelligent Multiagent Systems

Collaborative problem-solving and dynamic decision-making

Multi-Modal LLMs & NLP

Understanding and responding across diverse data types

Knowledge Graphs

Contextual reasoning for improved retrieval and insights

Scalable AI Systems

Real-time applications and large-scale deployment

AI in Healthcare

Addressing industry-specific challenges through AI

Featured Projects

2021

Smart Inventory Management System

A comprehensive system to track stock levels, orders, and deliveries for both desktop and mobile interfaces with role-based access.

  • Configured different user views: warehouse managers can add/edit inventory and generate reports, customers can only view products
  • Leveraged system data to generate reports on stock trends, reorder needs, and product movement
2018

Motion Detector Security System

Real-time motion detection system using OpenCV and PyMotion with instant notification capabilities.

  • Recognized movement and triggered alerts through a user-friendly web interface
  • Ensured continuous monitoring and prompt alerts when motion is detected
2021

KPMG Automation Hackathon - Finalist

Designed and developed an asset management application for streamlined asset tracking and management.

  • Earned finalist recognition demonstrating expertise in automation technology
  • Delivered an innovative solution that streamlined asset tracking and management

Technical Skills

AI & Machine Learning

Generative AINLPComputer VisionRAGLLMsAgentic Systems

Programming

PythonSQLRJava

Cloud & Infrastructure

AWSRigCloud

Data & Visualization

PandasTableauMS ExcelStreamLitElasticSearch

Education

Master of Science in Information Technology and Management

University of Texas at Dallas

Dallas, TX, USADecember 2022

Bachelor of Technology in Information Technology

G. L. Bajaj Institute of Technology and Management

Greater Noida, IndiaMay 2018

Let's Connect

I'm always interested in discussing AI research, collaboration opportunities, or just chatting about technology. Feel free to reach out!

Available for collaboration