Parv Bhargava

MS in Data Science

August 2023 - Present

Relevant Coursework

• Deep Learning
• Machine Learning
• Data Mining

B.Tech. Computer Science and Engineering

July 2019 - May 2023

Relevant Coursework

• Database Management Systems
• Data Structures and Algorithms
• Computer Vision

Temporai

May 2024 - Present

Data Scientist

• Led the development of a multi-agent bot leveraging CrewAI and LangGraph. Integrated a Retrieval-Augmented Generation (RAG) pipeline, reducing bot hallucinations by 95%.
• Developed features for retrieving and analyzing data from complex systems to provide informed financial insights. Implemented functionality for conducting blockchain transactions.
• Integrated multiple LLMs, including GPT-4o, Llama, Claude, Mistral, and Phi throughout workflows.
• Developed an advanced domain-agnostic time series forecasting tool by integrating statistical and deep learning models, achieving over 93% accuracy compared to baseline models.
• Implemented a robust stacking ensemble architecture and designed an efficient data preprocessing pipeline, improving forecast generation efficiency and reducing turnaround time by 50%.

The George Washington University

March 2024 - Present

Student Research Specialist III

• Led the development of a Hybrid RAG architecture leveraging Neo4j knowledge graphs for context retrieval, creating an enhanced pipeline that utilizes relationships between documents and entities to improve retrieval efficiency and observability.
• Enabled stakeholders to efficiently access information from their documents with proper sourcing. Developed a chatbot designed for policymakers to conduct research, significantly reducing LLM hallucinations and enhancing the reliability and accuracy of the chatbot.

The George Washington University

January 2024 - Present

Graduate Assistant

• Assisted in the development and updating of course materials, ensuring alignment with the latest advancements in AI. Additionally, I managed grading responsibilities and conducted office hours to support student learning for the following courses:
• Deep Learning
• Data Mining
• Managed AWS for university courses and deployed Lambda functions across the institution, reducing operational costs by 35%.
• Processed and prepared datasets from Hugging Face to conduct exams.

MunshiG

April 2023 - June 2023

AI Intern

• Integrated GPT-4 model with advanced prompt engineering and function calling, creating a multi-functional AI agent and integrating it across multiple social media platforms.
• Managed user data efficiently with MongoDB and Firebase to ensure streamlined and secure data handling across multiple platforms.
• Enhanced chatbot development by designing conversation flows, implementing user data storage, and leveraging personalized user experiences to improve engagement and effectiveness.

Appronic

August 2022 - March 2023

Associate Software Developer

• Developed and implemented an efficient data processing pipeline leveraging Apache Spark, enhancing scalability and reducing processing time by over 30%. Enabled real-time analytics on data.
• Developed time series models with exogenous variables, improving forecast accuracy by 15%. Enabled better decision-making by providing reliable, data-driven insights.
• Developed a decision tree-based machine learning model to predict customer churn by analyzing usage patterns and engagement data. Improved churn prediction accuracy by 20%, enabling targeted retention strategies and increasing customer lifetime value.

Q-World

July 2021 - August 2021

Research Assistant

• Conducted pioneering research in realm of quantum reinforcement learning, with a specific focus on Wigner’s Friend Protocol.
• Awarded with third position in Q-Intern program for impactful nature of research

Languages and Databases

Frameworks

Tools