Soumil Chugh

Soumil Chugh

AI Research Engineer

AI Research Engineer specializing in LLM agents, computer vision, and deep learning at Huawei's Human Machine Interaction Lab. Building intelligent systems that enhance human-computer interaction through multimodal AI.

About Me

AI Research Engineer with expertise in LLM agents, computer vision, and deep learning systems

Current Role

I serve as an AI Research Engineer at the Human Machine Interaction (HMI) Lab with Huawei in Toronto, Canada, leading research in LLM agents, computer vision, and intelligent systems development.

Core Expertise

My expertise spans LLM agents for system-level applications, advanced computer vision and deep learning methods, and human-computer interaction technologies. I've filed several patents in these domains.

Research Focus

My research encompasses LLM agents for intelligent system interactions, advanced human-computer interaction techniques, eye tracking across multiple platforms, and deep learning methods for computer vision applications.

Vision

My goal is to engineer intelligent systems that directly impact end users through LLM agents integrated into operating systems, multimodal AI systems, and advanced human-computer interaction technologies.

Experience

Professional journey in research engineering and machine learning

AI Research Engineer
Huawei - Human Machine Interaction Lab
2020 - Present
Leading research in LLM agents, computer vision, and intelligent systems. Developing system-level applications, multimodal AI solutions, and advanced human-computer interaction technologies.
Software Engineer
Jana Care
2015 - 2018
Designed FDA-approved portable medical devices including robotic systems for diabetes management and cardiovascular health monitoring.
Machine Learning Consultant
General Prognostics Inc.
2020 - 2023
Developed machine learning pipeline for heart disease prediction using smartwatch data. Implemented computer vision algorithms for biological sample quality control.

Education

Master of Applied Science in Electrical and Computer Engineering

University of Toronto

2018 - 2020

Supervisors: Prof. Jonathan Rose and Prof. Moshe Eizenman

Research Focus: Eye tracking systems for virtual reality, computer vision, and human-computer interaction

Thesis: "An Eye Tracking System for a Virtual Reality Headset" - Developed a novel head-mounted eye tracking system achieving 1.1° gaze accuracy, 100% better than current VR systems

Expertise

Core competencies in AI research and system development

LLM Agents
Prompt engineering, RAG, Vector Databases, Function Calling, Fine-tuning
Deep Learning
Neural networks, PEFT, model fine-tuning
Eye Tracking
VR, desktop, and mobile systems
Computer Vision
Image processing and vision algorithms
Natural Language Processing
Transformer models, Embeddings, Machine Learning methods

Get In Touch

Let's discuss opportunities, collaborations, or just say hello

soumil.chugh@gmail.com