BUILDING AI SYSTEMS THAT SCALE IN THE REAL WORLD

Ruban Gino Singh

AI Engineer+Full-Stack AI Developer+AI Systems Builder

I build production-ready AI systems, intelligent automation platforms, and scalable full-stack applications that transform complex ideas into real-world impact.

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Professional Profile

About Me

Jeremiah 29:11"For I know the plans I have for you..."

1 Corinthians 13:4-7"Love is patient, love is kind..."

I’m an AI Engineer and Full-Stack AI Developer focused on building scalable, production-ready AI systems that solve real-world problems. With a Master’s degree in Computing Science (Multimedia) from the University of Alberta (GPA 3.8/4.0), I specialize in Artificial Intelligence, Computer Vision, and Human-Centered Systems.

My mission is to build AI-driven systems and scalable products that bridge innovation with real-world impact.

Years of Experience

60+

Projects Delivered

4500+

Hours of Programming

Core Expertise

Machine Learning & AI Systems

Model design, fine-tuning, deployment, and optimization.

AI Agents & RAG Architectures

Domain-bounded conversational systems with reduced hallucination.

Full-Stack AI Development

Modern frontend dashboards and scalable backend APIs.

Cloud & Infrastructure

Azure migration, system architecture, reliability engineering.

MLOps & Model Lifecycle

GPU training, inference optimization, deployment pipelines.

Data Engineering

Vector search (FAISS), structured/unstructured data pipelines.

Python

Tensor Flow

ScikitLearn

FastAPI

REST API

Azure

AWS

Hugging Face

OpenAI

Claude AI

Gemini

RAG

PyTorch

SQL

MongoDB

Docker

Linux

Next.JS

Node.JS

TypeScript

JavaScript

Transformers

Open CV

Python

Tensor Flow

ScikitLearn

FastAPI

REST API

Azure

AWS

Hugging Face

OpenAI

Claude AI

Gemini

RAG

PyTorch

SQL

MongoDB

Docker

Linux

Next.JS

Node.JS

TypeScript

JavaScript

Transformers

Open CV

Python

Tensor Flow

ScikitLearn

FastAPI

REST API

Azure

AWS

Hugging Face

OpenAI

Claude AI

Gemini

RAG

PyTorch

SQL

MongoDB

Docker

Linux

Next.JS

Node.JS

TypeScript

JavaScript

Transformers

Open CV

Python

Tensor Flow

ScikitLearn

FastAPI

REST API

Azure

AWS

Hugging Face

OpenAI

Claude AI

Gemini

RAG

PyTorch

SQL

MongoDB

Docker

Linux

Next.JS

Node.JS

TypeScript

JavaScript

Transformers

Open CV

Transformers

JavaScript

TypeScript

Node.JS

Next.JS

Linux

Docker

MongoDB

SQL

PyTorch

RAG

Gemini

Claude AI

OpenAI

Hugging Face

AWS

Azure

REST API

FastAPI

ScikitLearn

Tensor Flow

Python

Open CV

Transformers

JavaScript

TypeScript

Node.JS

Next.JS

Linux

Docker

MongoDB

SQL

PyTorch

RAG

Gemini

Claude AI

OpenAI

Hugging Face

AWS

Azure

REST API

FastAPI

ScikitLearn

Tensor Flow

Python

Open CV

Transformers

JavaScript

TypeScript

Node.JS

Next.JS

Linux

Docker

MongoDB

SQL

PyTorch

RAG

Gemini

Claude AI

OpenAI

Hugging Face

AWS

Azure

REST API

FastAPI

ScikitLearn

Tensor Flow

Python

Open CV

Transformers

JavaScript

TypeScript

Node.JS

Next.JS

Linux

Docker

MongoDB

SQL

PyTorch

RAG

Gemini

Claude AI

OpenAI

Hugging Face

AWS

Azure

REST API

FastAPI

ScikitLearn

Tensor Flow

Python

Featured Projects

Recent work in AI and System Architecture.

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Multispectral Object Detection in Traffic Scenarios

Conventional object detection systems in autonomous vehicles rely primarily on RGB camera data. These systems often struggle under adverse conditions including: • Low-light environments • Fog or rain • Poor contrast between objects and background Such limitations can reduce detection accuracy and impact safety in real-world traffic environments.

PythonPyTorchComputer Vision+3

AI Voice Agent

Many organizations rely on manual phone handling for routine inquiries, resulting in delays, inefficient communication, and increased workload for staff. Traditional call systems lack automation capabilities and cannot intelligently interpret caller intent.

Twilio APINode.jsFastRTC+2

CAEDM Website Redevelopment & Azure Cloud Migration

The legacy website infrastructure limited scalability, performance, and flexibility for future digital services. Updating content and integrating new systems was increasingly difficult due to outdated architecture.

WordPressMicrosoft AzureSQL Server+2

View all projects

Career Trajectory

Professional Path

March 2026 – Present

Communications Coordinator — Digital Systems & AI

Catholic Archdiocese of Edmonton

▹Leading the implementation of AI-powered digital systems, including conversational search and intelligent information platforms, to enhance communication, accessibility, and operational efficiency across the Archdiocese while promoting responsible and ethical AI adoption.

May 2025 – Feb 2026

Technology & Innovation Specialist (Co-op)

Catholic Archdiocese of Edmonton

▹Led the redesign of the Archdiocese website and integrated AI-driven technologies, including RAG-based systems, while supporting the development of a centralized financial reporting platform serving over 100 parishes.

Nov 2024 – Present

Amii AI Career Accelerator (Part-Time Contract)

Alberta Machine Intelligence Institute (AMII)

▹Selected for AMII’s flagship AI Career Accelerator program, gaining advanced training, mentorship, and industry exposure to strengthen real-world AI engineering capabilities.

Education

M.Sc. Computing Science (Multimedia)

University of Alberta

GPA: 3.8 / 4.0Machine Learning, Computer Vision, RAG, NLP, AI Agents, Full-Stack Systems

Volunteering

Director of Technology, Media & Compliance

Edmonton Tamil Catholic Family

▹Managing IT systems, digital media, and infrastructure
▹Ensuring compliance, data privacy, and cybersecurity
▹Leading livestream and digital outreach initiatives

Communications & Tech Support

Catholic Young Adults of Edmonton

▹Supporting media systems and digital communications.

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