Artificial Intelligence · Ph.D. student

Emmanuel G. Maminta.

University of the Philippines Diliman

Metro Manila, Philippines

I am a Ph.D. student in Artificial Intelligence at the Ubiquitous Computing Laboratory, advised by Prof. Rowel O. Atienza. I currently work as an AI Developer at OpenText Philippines.

My research focuses on embodied AI, multimodal AI, and vision-language models (VLMs), with a strong emphasis on retail applications (RetailVision). My broader interests include hand–object interaction, egocentric and exocentric computer vision, robotics, and world models.

Portrait of Emmanuel G. Maminta
  • 2026

    Joined the Cohere Labs Open Science Community, where my focus will be on multimodal AI and world models.

  • 2026

    Our paper, A Transferable Variant Signal That Grocery Retrieval Cannot Reach, has been accepted for an oral presentation at ACCV 2026 in Osaka, Japan, this December.

    Oral presentation
  • Sep 2026

    Presented Late Interaction Ranking for Effective Closed-Catalog Grocery Product Retrieval at ECCV 2026 in Malmö, Sweden.

  • Aug 2026

    Presented What Matters For Grocery Product Retrieval With Open Source Vision Language Models at ICPR 2026 in Lyon, France. The work also earned the RRPR reproducibility badge.

  • 2025

    Earned the NVIDIA-Certified Professional: Agentic AI and NVIDIA-Certified Associate: Generative AI LLMs certifications.

Earlier updates
  • Nov 2025

    Our Sari Sandbox work was featured in Voxel51’s Best of ICCV 2025. Watch the recording.

  • Oct 2025

    Presented Sari Sandbox at the ICCV 2025 Workshop on RetailVision in Honolulu, Hawai‘i, USA.

  • 2025

    Contributed the AnyMaths adapter to GEPA for prompt optimization in mathematical word problems and LLM reasoning.

  • 2025

    Released GEPA-Lite, a lightweight implementation of GEPA under the MIT License.

  • 2025

    Our paper, Sari Sandbox: A Virtual Retail Store Environment for Embodied AI Agents, was accepted at the ICCV 2025 Workshop on RetailVision. Paper · Project

  • 2025

    Presented research findings in a technical workshop with Analog Devices Philippines. Project

  • 2025

    Completed the M.Eng. in Artificial Intelligence program at the University of the Philippines. Capstone project

  • 2024

    Presented research with Nikko Carlo A. Yabut and Samsung Research & Development Institute Philippines at the first National Electrical, Electronics, and Computer Engineering Conference (NEECECon).

  • 2023

    Joined UCL as a graduate researcher on a collaborative project with Samsung Research & Development Institute Philippines on open-vocabulary object detection in vision-language models.

  • 2022

    Co-taught EEE 111 (Introduction to Programming and Computation) and EEE 121 (Data Structures and Algorithms) with Prof. Jhoanna Rhodette I. Pedrasa at UP Diliman.

  • 2022

    Began M.Eng.–Ph.D. studies as part of the pioneering Turing Batch in the University of the Philippines AI graduate program.

Multimodal AI & VLMs

Vision-language models and multimodal learning for fine-grained grocery product retrieval and open-vocabulary recognition in retail environments.

Embodied AI

Agents that perceive, reason, and act in retail environments, with interests in robotics, world models, and simulation.

Hand–object interaction

Hand–object interaction and visual understanding from egocentric and exocentric perspectives, especially in retail settings.

Applied work

My work focuses on parameter-efficient fine-tuning (PEFT), agentic AI, and harness engineering.

Additional interests: resource-efficient pre-training, reinforcement learning for LLMs, reward modeling, preference learning, AI safety and alignment, chain-of-thought monitoring, and prompt optimization.

ACCV 2026 Oral presentation

A Transferable Variant Signal That Grocery Retrieval Cannot Reach

Accepted for an oral presentation · Osaka, Japan · December 2026

ECCV 2026

Late Interaction Ranking for Effective Closed-Catalog Grocery Product Retrieval

Presented in Malmö, Sweden · September 2026

Also available

Scalable Early Detection of Mental Health Signals in Social Media Text
2025 · Preprint, not peer reviewed

OpenMPR

I started OpenMPR to share open-source recipes for fine-grained grocery product retrieval.

stable-worldmodel

I contributed to stable-worldmodel, an open-source platform for reproducible world model research and evaluation.

GEPA-Lite

A lightweight implementation of Genetic-Pareto prompt optimization, released under the MIT License.

GEPA · AnyMaths

A custom adapter contributed to GEPA for optimizing prompts on mathematical word problems and LLM reasoning.

  • Current

    AI Developer

    OpenText Philippines

    I build enterprise artificial intelligence products, agentic systems, and LLMOps/MLOps infrastructure.

  • Ongoing

    Ph.D. in Artificial Intelligence

    University of the Philippines Diliman · Expected 2027

  • 2025

    Master of Engineering in Artificial Intelligence

    University of the Philippines Diliman

  • 2022

    B.S. in Electrical Engineering, with honors

    University of the Philippines Diliman

My background spans research and development, software engineering, and project management. I have collaborated with Samsung Research & Development Institute Philippines on open-vocabulary object detection and co-taught introductory programming and data structures at UP Diliman.

Get in touch

Let’s talk research.

For research inquiries and collaboration, you can reach me by email.

egmaminta@up.edu.ph