Hi, I'm Ayush Maniar

🖥️MS-CSE Student at UC San Diego📊Ex Data Scientist - III at Walmart🎓IIT Madras 2021 Alumni

About Me

Ayush Maniar

Hi, I'm Ayush Maniar. Currently, I'm pursuing a Master of Science in Computer Science (MSCS) at UC San Diego, with a specialization in Artificial Intelligence. I am passionate about AI Agents, particularly in the context of Multi-agent systems and Agentic-RAG. My research focuses on multi-agent collaboration and reasoning, with work accepted at NeurIPS 2025. I'm also the creator of an open-source PowerPoint MCP server that enables AI assistants to automate presentation creation with LaTeX rendering and real-time editing capabilities.

Recently, I completed a Research Scientist Intern - Generative AI position at Riot Games, where I developed AI creative story writing engines using dual-agent architectures, built story-to-code pipelines for game quest systems, and created multimodal AI comic book generators. Before joining UCSD, I worked as a Data Scientist III at Walmart Global Tech India (SAMS Club), where I led multiple high-impact projects creating over $120M in business value. My work included developing patented time series algorithms for transit time prediction, delivery delay prediction models, and optimization solutions using Mixed Integer Linear Programming.

During my undergraduate studies at IIT Madras, I co-founded 'Eye In The Sky', a Deep Learning & Computer Vision startup focused on disaster management using drones. The startup raised INR 19.5 Lakhs in funding, won the Microsoft Codefundo++ 2019 challenge (among 2000+ teams), and received the International Microsoft 'AI For Earth' Grant. My other interests include Gaming, Augmented Reality, and Bioinformatics.

The Adventure Timeline

Riot Games Logo
2025 Summer
Riot Games
Research Scientist Intern - Generative AI
UCSD Seal
2024–Now
UC San Diego
MS-CSE, AI Specialization
Walmart Logo
2021–2024
Walmart Global Tech
Data Scientist III
Hyperverge Logo
2019
Intern, Hyperverge
IIT Madras Logo
2017–2021
IIT Madras
B.Tech, Electrical Engineering

My Projects

Showcasing research and development work in AI Agents.

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning

NeurIPS 2025

This research project, conducted as part of my MS Research under Prof. Lianhui Qin at UC San Diego, explores multi-agent collaboration in complex environments like Minecraft. The work has been accepted at NeurIPS 2025.

The framework enables multiple AI agents to reason, plan, and work together through peer-peer collaboration tasks that test different aspects of collaborative reasoning such as sharing resources, skill sets, expertise, and information. We leveraged the efficient function calling abilities of LLMs to ground the agents in the world of Minecraft by creating custom tools, and conducted comparative evaluations of contemporary language models, highlighting success rates across tasks and providing insights into multi-agent collaboration efficiencies.

AI AgentsMulti-agent SystemsEmbodied AIMinecraft

Open Source PowerPoint MCP Server

A powerful Model Context Protocol (MCP) server for PowerPoint automation that enables AI assistants like Claude to create, read, and edit presentations in real-time. Features template-first design, bidirectional COM automation, LaTeX equation rendering, HTML-style formatting, and controllable animations. Unlike write-only libraries, this provides true real-time editing capabilities with multimodal slide analysis.

Key Features

  • Template-first design - Works seamlessly with corporate templates
  • 🔄 Bidirectional & real-time - Read and edit existing presentations without closing them
  • 📊 Multimodal slide analysis - Visual screenshots + detailed text/chart/table extraction
  • 🔬 LaTeX rendering - Built-in support for scientific equations and formulas
  • 🎨 HTML-style formatting - Bold, italic, colors, bullet points that actually work
  • 🎬 Animations - Controllable PowerPoint animations with progressive disclosure
  • One-line install - claude mcp add powerpoint -- uvx powerpoint-mcp

Real Workflows

Research + Create

Researches topics and builds decks with citations automatically.

Data Analysis + Visualization

Analyzes datasets and creates free-form Python plots directly on slides.

Codebase Documentation

Reads local files to understand structure and generates architecture presentations.

Template-Driven Decks

Populates corporate templates with data from CSVs or other sources.

Academic LaTeX Heavy

Creates lecture slides with complex mathematical equations rendered via LaTeX.

Interactive Learning

Turns presentations into interactive tutors that explain slides and quiz users.

MCP ServerAI AutomationPowerPointCOM Automation

More Projects Coming Soon

I'm working on adding more of my projects here. Check back soon!

Resume