Aryan Jaiswal Email & Phone Number

Saint Paul, Mn, Us

Minneapolis, Mn, Us

. Contributing to developing and evaluating AI-driven user interaction techniques, leveraging NLP models and RAG to improve recommendation personalization, long-term user retention, and overall user satisfaction on the MovieLens platform.. Collaborating on integrating knowledge graphs into the news recommendation platform, processing entity mentions from daily news articles and leveraging PyTorch models to improve recommendation diversity and accuracy.

Minneapolis, Minnesota, United States

• Currently assisting with the preparation of IRB applications, focusing on research ethics and participant recruitment for a VR-based embodied perspective-taking study. This work allows me to gain valuable experience in research management and the design of rigorous behavioral studies.• In the upcoming third phase of the project, I plan to apply my expertise in computer vision and real-time tracking systems, utilizing OpenCV and YOLO algorithms to contribute to the technical development of VR body-swapping techniques for immersive conflict resolution research.

London Area, United Kingdom

• Developed a command interpretation and validation system for robotic applications using GPT-4 and RAG, leveraging OpenAI embeddings, LlamaIndex, and vector databases to improve context-aware responses and reduce errors.• Fine-tuned RAG-based chatbots for enhanced contextual understanding and accurate output in lab settings, employing a systematic approach to data preparation, model validation, and real-time retrieval integration for AI-driven robotics.

Buffalo Grove, Illinois, United States

• Developed an interactive document querying system using Databricks and advanced NLP models (Hugging Face, Sentence Transformers) to enhance data processing and response accuracy. Implemented knowledge graphs in Neo4j with SAP data and integrated a RAG system for text-to-Cypher querying, improving data accessibility and insights visualization with Power BI.• Created a voice-activated recycling advisor using Flask and PostgreSQL, leveraging advanced speech recognition to enhance waste management solutions. Developed a real-time object recognition service on Raspberry Pi with Google Vision API and OpenCV, boosting user interface accessibility and interaction.