Agam Pandey portrait

Agam Pandey

AI Researcher • Applied AI Engineer

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Hi! I’m Agam Pandey, a senior undergrad at IIT Roorkee. I do applied AI research on production AI systems: information retrieval, Evals and benchmarking, and multimodal safety/robustness (VLM reasoning, adversarial ML, agents, and vision). I’m currently an Applied AI Research Intern at Mem0 and previously built data/AI systems at Swiggy, Akki AI, EzAIx, Mindshift Analytics, and Strabag Efkon India, while co-authoring work at NeurIPS-RML/MLRC/TMLR/AAAI-SAPP. I’m also a Research Intern at Transportation Lab, IIT Jodhpur with Prof. Akshay Gupta on multimodal sensor fusion and collision-warning systems. Outside work, I run middle/long distance for Athletics Team IIT Roorkee and contribute to Data Science Group.

News

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  • [Jan, 2026] Joined mem0 as an Applied AI Research Intern.
  • [Sep, 2025] Reviewer as Program Committee Member for AAAI-26 Student Abstract and Poster Program (SAPP).
  • [Aug, 2025] Presented ReCroPA at MLRC, Princeton University (New Jersey, USA).
  • [May, 2025] Started as AI Engineering Intern at Swiggy (CEO's Office), Bangalore.
  • [Apr, 2025] Promoted to Joint Secretary at Data Science Group, IIT Roorkee.
  • [Apr, 2025] Promoted to Vice President (Analytics) at Society of Business, IIT Roorkee.
  • [Mar, 2025] Joined EzAIx Inc. as AI Engineer Intern, working on multi-agent systems.
  • [Dec, 2024] Started as AI Engineer Intern at Akki.ai, building multi-agent copilot systems.
  • [Aug, 2024] Started as Research Intern at Transportation Engineering Department, IIT Roorkee under Prof. Pushpa Choudhary.
  • [Aug, 2024] Joined Mindshift Analytics as Data Science Intern.
  • [Jun, 2024] Appointed as Joint Secretary of Athletics, IIT Roorkee, managing 60+ athletes.
  • [Jun, 2024] Started internship at EFKON India as Machine Learning Engineer.
  • [Apr, 2024] Promoted to Manager (Analytics) at Society of Business, IIT Roorkee.
  • [Mar, 2024] Became Member at Data Science Group.
  • [Feb, 2024] Joined Hanomi as ML Intern, contributing to AI-powered hardware design acceleration.
  • [Oct, 2023] Started as MLOps Engineer at Tinkering Lab, IIT Roorkee, working on AlgoEase startup.
  • [Aug, 2023] Appointed as Village Documentation Coordinator at Unnat Bharat Abhiyan, IIT Roorkee.

Off the Clock

  • Program Committee Member | AAAI SAPP 2026

    Reviewed student abstracts and provided recommendations & feedback.

  • Joint Secretary | Data Science Group, IIT Roorkee

    Co-led talks & research initiatives; coordinated member projects and events.

  • Joint Secretary | Athletics Team, IIT Roorkee

    Distance athlete (5k/1.5k) Inter-IIT Silver, Bronze; managed team & run clubs.

Projects

Research Projects

  • StegGNN: Graph Neural Network for Image Steganography GitHub Paper
  • Knowledge Graph Embeddings for GraphRAG LLMs GitHub GitBook
  • Spatiotemporal Attention for Trajectory Prediction GitHub

Systems & Applied

  • ByeLabs: Local-First Multi-Agent AI for Roster Processing GitHub
  • Multimodal Agentic GraphRAG (Zomato Nugget) GitHub
  • Tech Enhanced AI Interview Platform: Techshila IIT Roorkee GitHub

Research & Publications

CroPA++ paper figure

CroPA++: Exposing Vulnerabilities in Vision-Language Models

A. Pandey et al. · NeurIPS Reliable ML Workshop 2025
Paper Workshop
ReCroPA paper figure

Revisiting CroPA: Enhancing Cross-Prompt Adversarial Transferability Best Paper Award

A. Pandey et al. · TMLR / MLRC 2025
Paper MLRC TMLR
Scene Graph CoT figure

Zero-Shot Vision Language Reasoning via Dual-layer Scene Graph CoT

AAAI-26 Student Abstract
Conference
TransPatch universal adversarial patch figure

TransPatch: Learning a Universal Adversarial Patch for ViT–CNN Cross-Architecture Transfer in Semantic Segmentation

AAAI-26 Student Abstract
Conference
StegGNN paper figure

StegGNN: Learning Graphical Representation for Image Steganography

ICCV CV4DC Workshop (under revision)
Manuscript Code

Experience

  • Applied AI Researcher | Mem0
    Remote (SF) · Jan 2026–Present

    Working on information retrieval, evals, and open-source benchmarking for memory systems.

  • AI Intern | Swiggy (CEO's Office)
    Bangalore · May–Aug 2025

    Built a multi-agent conversational recommender for Swiggy Scenes using LangGraph, Llama-2, and multimodal GraphRAG. Designed the LLM backend and lead-analytics pipeline (Firebase/Cloud Functions + Apify→Snowflake) with CRM automation.

  • AI Engineer Intern | Akki AI
    Remote (New Delhi) · Dec 2024–Apr 2025

    Built a startup copilot with multi-agent CUA workflows (CrewAI/LangGraph) and Hybrid-RAG with persona memory. Implemented RLHF-style evaluation and deployed scalable agent clusters on AWS (FastAPI + Celery).

  • AI Engineer Intern | EzAIx Inc.
    Remote (Florida US) · Mar–Apr 2025

    Built a multi-agent onboarding assistant using GPT-4V + LangGraph with RAG for Microsoft Suite workflows. Orchestrated async agents with FastAPI/Celery + MongoDB Atlas and Selenium-based UI control.

  • Research Intern | Transportation Department, IIT Roorkee
    Roorkee · Aug 2024–Present

    Depth estimation, early collision-warning system for Indian traffic using 16-beam LiDAR and monocular camera.

  • Data Science Intern | Mindshift Analytics
    Remote · Aug–Oct 2024

    Built telemetry analytics for mining fleets: fuel/dynamics modeling and anomaly detection at scale. Implemented RDP trajectory simplification + DBSCAN clustering pipelines.

  • Software Development Intern | Strabag Efkon India
    Gurgaon · Jun–Jul 2024

    Built a fleet-optimization system using ML + linear programming (PuLP) for emergency response routing on Hyderabad-ORR. Delivered modular Python tooling adopted for expansion across national highways.