Hello!I am Gabriel Mongaras Student Researcher

Student at SMU. I’m triple majoring in C.S. with a specialization in AI, Statistical Science, and Data Science, with a minor in Math. I’m looking for those with common interests, opportunities to use my skills, and contract or internship potentials.

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I am Gabriel Mongaras

My Skillset

C++ C Cuda Python Django Flask HTML CSS JavaScript Java PL/SQL Arduino ARM Assembly Android SDK

Neural Networks PyTorch scikit-learn NumPy CNNs Transformers GANs NEAT PPO Diffusion Models YOLO Object Detection TensorFlow

Smart Contracts Solidity Remix IDE

AWS Linux Windows MacOS

My Projects

I am a Computer Science student currently working as an undergraduate researcher to help pay his way through college. I am particularly interested in the field of AI. Here are some of the projects which I have done.

My Github

https://gabrielm.cc/wp-content/uploads/2021/09/gabriel.jpg

Diffusion Models From Scratch

Diffusion Models From Scratch

AI Girlfriend

YOLOX From Scratch

YOLOX From Scratch

GAN TextGen

Resume Parser

MetaU Capstone

Transformers From Scratch

Transformers From Scratch

Vision Transformers From Scratch

Vision Transformers From Scratch

Dino Game AI V2

Dino Game AI V2

Gradient Descent For BCE Loss

Gradient Descent For BCE Loss

Cart Pole PPO

Anime StyleGAN

Dorahack Apr 2021 Project

Dorahack Apr 2021 Project

Data Structures Search Engine Project

Data Structures Search Engine Project

Career

Get Resume

Google

Summer Intern

EXPERIENCE

May 2024 – August 2024

Amazon

Summer Intern

EXPERIENCE

May 2023 – August 2023

Meta

Summer Intern

EXPERIENCE

May 2022 – August 2022

SMU

Student Technology Assistant in Residence Researcher

EXPERIENCE

August 2022 – Current

SMU

Undergraduate Research Assistant

EXPERIENCE

August 2021 – Current

SMU

Student Tutor

EXPERIENCE

August 2021 – January 2022

Freelancer

Freelance Programmer

EXPERIENCE

May, 2020 – August 2021

DoraHacks Hackathon

Smart Contract Developer

EXPERIENCE

May 2021

Brushy Creek MUD

Lifeguard

EXPERIENCE

Apr 2019 - Aug 2019

CTYLA

Lacrosse Referee

EXPERIENCE

Jan 2018 - Mar 2019

Education

2021 - 2025

Southern Methodist University

Master of Science

MS in Computer Science - Specialization in AI and ML; MS in Statistics; BS in Computer Science - AI Specialization; BS in Statistical Science; BS in Data Science; Minor in Mathematics

2018 - 2021

Austin Community College

Associate of Applied Science in Computer Information Technology - Computer Programming

Took dual credit classes while at Gateway College Prep. I graduated with an Associate's degree in Computer Programming in the same semester that I graduated high school.

2012 - 2021

Gateway College Preparatory School

High School Distinguished Level of Achievement Diploma

Valedictorian Endorsements: STEM, Arts and Humanities, Multi Disciplinary Studies

Certifications

Udacity

AI Programming With Python

Issued May 2023

NVIDIA DLI

Accelerating Data Engineering Pipelines

Issued Oct 2022

NVIDIA DLI

Fundamentals of Deep Learning for Multi-GPUs

Issued Oct 2022

Coursera

Generative Adversarial Networks Specialization

Issued Aug 2021

Coursera

Google Project Management: Specialization

Issued Aug 2021

Coursera

Deep Learning Specialization

Issued Jul 2021

Coursera

Google Data Analytics Specialization

Issued Jun 2021

Coursera

Google IT Automation with Python Specialization

Issued Jun 2021

NSHSS

Intern Readiness Program Certificate

Issued Jun 2021

University at Buffalo

Blockchain Basics

Issued May 2021

Yale University

The Science of Well-Being

Issued Apr 2021

edX

edX Verified Certificate for CS50's Introduction to Artificial Intelligence with Python

Issued Mar 2021

Phi Theta Kappa Honor Society International

Five Star Competitive Edge

Issued Oct 2020

edX

edX Verified Certificate for CS50's Introduction to Computer Science

Issued Jul 2020

Illinois Institute of Technology

Game Design: Interactive Storytelling

Issued May 2020

Harvard University

CS50 AI - Introduction to Artificial Intelligence with Python

Issued Aug 2021

Classes

CS 7320

Artificial Intelligence

SMU (Graduate)

CS 7343

Operating System and System Software

SMU (Graduate)

EPL 3302

Comparative Leadership

SMU

MATH 3313

Differential Equations

SMU

STAT 3304

Intro. to Stat. Computing

SMU

SOCI 2300

Social Problems

SMU

CS 4381

Digital Computer Design

SMU

UHP 2100

Honors Sophomore Seminar

SMU

CS 3381

Digital Logic Design

SMU

UHP 2367

Greater Dallas Experience

SMU

MATH 3304

Linear Algebra

SMU

HIST 3368

Digital History

SMU

CS 5394

Applied Machine Learning

SMU

STAT 3300

Applied Statistics

SMU

AGAN

Apply Generative Adversarial Networks (GANs)

Coursera

CS 2240

Assembly Language Programming And Machine Organization

SMU

ARWTR

Automating Real-World Tasks with Python

Coursera

BBGAN2

Build Better Generative Adversarial Networks (GANs)

Coursera

BBGAN1

Build a Basic General Adversarial Network (GAN)

Coursera

CS50x

CS50's Introduction to Computer Science

Harvard

MATH 1338

Calculus 2

SMU

MATH 3302

Calculus 3

SMU

CMC

Configuration Management and the Cloud

Coursera

CNN

Convolutional Neural Networks

Coursera

DARP

Data Analysis with R Programming

Coursera

CS 2341

Data Structures

SMU

COSC 2436

Data Structures

ACC

ITSE 2309

Database Programming

ACC

CS 2353

Discrete Computational Structures

SMU

CS 3353

Fundamentals Of Algorithms

SMU

ITNW 1325

Fundamentals of Networking

SMU

WRTR 2304

Hilltop Scholars Program Critical Reasoning

SMU

WRTR 2303

Hilltop Scholars Program Academic Writing

SMU

IDRR

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

Coursera

ITSE 1345

Intro to Oracle and PL/SQL

ACC

ITSE 1359

Intro To Python

ACC

ITSE 1303

Intro to MySQL

ACC

ENGR 1357

Introduction To Engineering Design

SMU

SPAN 1402

Spanish 2

SMU

SPAN 1401

Spanish 1

SMU

CS50AI

Introduction to Artificial Intelligence with Python

Harvard

EPL 3102

Leadership in Action

SMU

NNDL

Neural Networks and Deep Learning

Coursera

ITSC 1325

PC Hardware

ACC

PDDC

Process Data from Dirty to Clean

Coursera

EPL 3101

Rediscovering Leadership

SMU

PRW 3303

Self, Identity, and Community Engagement

SMU

SM

Sequence Models

Coursera

SDAV

Share Data Through the Art of Visualization

Coursera

MATH 1342

Statistics

ACC

STAT 4340

Statistics For Engineers

SMU

SMLP

Structuring Machine Learning Projects

Coursera

ENGL 2311

Technical Writing

ACC

TDT

Troubleshooting and Debugging Techniques

Coursera

ITSC 1307

UNIX Operating System

ACC

UPIOP

Using Python to Interact with the Operating System

Coursera

Articles

https://gabrielm.cc/wp-content/uploads/2023/03/Studio_Project-2-1.gif

Diffusion Models — DDPMs, DDIMs, and Classifier Free Guidance

https://gabrielm.cc/wp-content/uploads/2023/02/0_hRdo8H8ycSnDuyF-.gif

Coding a Virtual AI Girlfriend

https://gabrielm.cc/wp-content/uploads/2022/10/1_cN_YLD_CNPam6oWPje2juw.png

How Do Self-Attention Masks Work?

https://gabrielm.cc/wp-content/uploads/2022/10/Screenshot-2022-10-10-155307.png

Integrating Custom PyTorch Models Into an Android App

https://gabrielm.cc/wp-content/uploads/2022/05/1_NZJ4atofWqxC8OaEjQWfZQ.png

YOLOX Explanation — What is YOLO and What Makes It Special?

https://gabrielm.cc/wp-content/uploads/2022/05/tmp.png

YOLOX Explanation — How Does YOLOX Work?

https://gabrielm.cc/wp-content/uploads/2022/05/tmp-1.png

YOLOX Explanation — SimOTA For Dynamic Label Assignment

https://gabrielm.cc/wp-content/uploads/2022/05/tmp-2.png

YOLOX Explanation — Mosaic and Mixup For Data Augmentation

https://gabrielm.cc/wp-content/uploads/2022/01/how-do-neural-networks-work.png

How Do Neural Networks Work?

https://gabrielm.cc/wp-content/uploads/2022/02/Multi-Layer-Backprop-Example.png

Coding A Neural Network From Scratch Using Python

https://gabrielm.cc/wp-content/uploads/2022/04/0_tij3m2V1nKziOhmC.png

Community Detection With Neural Networks

VIDEOS

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits and BitNet

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits and BitNet

DoRA: Weight-Decomposed Low-Rank Adaptation

DoRA: Weight-Decomposed Low-Rank Adaptation

OpenAI Sora and DiTs: Scalable Diffusion Models with Transformers

OpenAI Sora and DiTs: Scalable Diffusion Models with Transformers

A Decoder-only Foundation Model For Time-series Forecasting

A Decoder-only Foundation Model For Time-series Forecasting

Lumiere: A Space-Time Diffusion Model for Video Generation

Lumiere: A Space-Time Diffusion Model for Video Generation

Exphormer: Sparse Transformers for Graphs

Exphormer: Sparse Transformers for Graphs

Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

Boundary Attention: Learning to Find Faint Boundaries at Any Resolution

Boundary Attention: Learning to Find Faint Boundaries at Any Resolution

Cached Transformers: Improving Transformers with Differentiable Memory Cache

Cached Transformers: Improving Transformers with Differentiable Memory Cache

Translatotron 3: Speech to Speech Translation with Monolingual Data

Translatotron 3: Speech to Speech Translation with Monolingual Data

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Adversarial Diffusion Distillation

Adversarial Diffusion Distillation

Unsupervised Discovery of Semantic Latent Directions in Diffusion Models

Unsupervised Discovery of Semantic Latent Directions in Diffusion Models

DALL-E 3 - Improving Image Generation with Better Captions

DALL-E 3 - Improving Image Generation with Better Captions

LRM: Large Reconstruction Model for Single Image to 3D

LRM: Large Reconstruction Model for Single Image to 3D

CodeFusion: A Pre-trained Diffusion Model for Code Generation

CodeFusion: A Pre-trained Diffusion Model for Code Generation

Matryoshka Diffusion Models Explained

Matryoshka Diffusion Models Explained

UniAudio: An Audio Foundation Model Toward Universal Audio Generation

UniAudio: An Audio Foundation Model Toward Universal Audio Generation

QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

StreamingLLM - Efficient Streaming Language Models with Attention Sinks Explained

StreamingLLM - Efficient Streaming Language Models with Attention Sinks Explained

FreeU: Free Lunch in Diffusion U-Net Explained

FreeU: Free Lunch in Diffusion U-Net Explained

InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation Explained

InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation Explained

Llama/Wizard LM Finetuning with Huggingface on RunPod

Llama/Wizard LM Finetuning with Huggingface on RunPod

2x Faster Language Model Pre-training via Masked Structural Growth

2x Faster Language Model Pre-training via Masked Structural Growth

Bayesian Flow Networks (BFN) Explained

Bayesian Flow Networks (BFN) Explained

WizardLM: Empowering Large Language Models to Follow Complex Instructions Explained

WizardLM: Empowering Large Language Models to Follow Complex Instructions Explained

From Sparse to Soft Mixtures of Experts Explained

From Sparse to Soft Mixtures of Experts Explained

BK-SDM: Architecturally Compressed Stable Diffusion for Efficient T2I Generation Explained

BK-SDM: Architecturally Compressed Stable Diffusion for Efficient T2I Generation Explained

Direct Preference Optimization (DPO): Your Language Model is Secretly a Reward Model Explained

Direct Preference Optimization (DPO): Your Language Model is Secretly a Reward Model Explained

Universal and Transferable Adversarial Attacks on Aligned Language Models Explained

Universal and Transferable Adversarial Attacks on Aligned Language Models Explained

SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis Explained

SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis Explained

SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations Explained

SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations Explained

ReLoRA: Stack More Layers Differently: High-Rank Training Through Low-Rank Updates Explained

ReLoRA: Stack More Layers Differently: High-Rank Training Through Low-Rank Updates Explained

MiniLLM: Knowledge Distillation of Large Language Models

MiniLLM: Knowledge Distillation of Large Language Models

RetNet: A Successor to Transformer for Large Language Models Explained

RetNet: A Successor to Transformer for Large Language Models Explained

HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Explained

HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Explained

Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for LLMs Explained

Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for LLMs Explained

Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale Explained

Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale Explained

LongNet: Scaling Transformers to 1,000,000,000 Tokens Explained

LongNet: Scaling Transformers to 1,000,000,000 Tokens Explained

Extending Context Window of Large Language Models via Positional Interpolation Explained

Extending Context Window of Large Language Models via Positional Interpolation Explained

RoFormer: Enhanced Transformer with Rotary Position Embedding Explained

RoFormer: Enhanced Transformer with Rotary Position Embedding Explained

RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation Explained

RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation Explained

MusicGen: Simple and Controllable Music Generation Explained

MusicGen: Simple and Controllable Music Generation Explained

Encodec: High Fidelity Neural Audio Compression Explained

Encodec: High Fidelity Neural Audio Compression Explained

QLoRA: Efficient Finetuning of Quantized LLMs Explained

QLoRA: Efficient Finetuning of Quantized LLMs Explained

Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold Explained

Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold Explained

LoRA: Low-Rank Adaptation of LLMs Explained

LoRA: Low-Rank Adaptation of LLMs Explained

Align your Latents - High-Resolution Video Synthesis Explanation

Align your Latents - High-Resolution Video Synthesis Explanation

Attention Is All You Need Explanation

Attention Is All You Need Explanation

ViT: An Image is Worth 16x16 Words Explained

ViT: An Image is Worth 16x16 Words Explained

Organizations

Hunt Leadership Scholars Program

Member

Hunt Leadership Scholars Program

Hilltop Scholars

Member

Hilltop Scholars Program

Rotunda Scholars

Member

Rotunda Scholars

SMU AI Club

President

SMU AI Club

Math Club

Member

SMU Computer Science Club

Member

Computer Science Club

Contact Me

If you’d like to talk about a project you want help with or need advice about product design, just drop me a message at gabriel@mongaras.com

Linkedin

Email

Youtube