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Abdullah Khadeli

Product Engineer

About

Abdullah Khadeli - AI/UI Engineer Team Lead

Snapshot

Current FocusProduct engineering for AI teams
Work StyleHands-on, metrics-led
Experience3+ Years

Engineer who ships, leads, and simplifies

I care about turning complex ideas into useful products. My strongest work happens at the intersection of engineering, product thinking, and execution speed.

I build with clear constraints: fast load times, clear UX, observable systems, and architecture teams can maintain.

What I optimize for

  • Time to value: ship meaningful increments quickly
  • Team clarity: reduce handoff friction across roles
  • Performance by default: responsiveness over feature bloat

AI Systems

Tool orchestration, practical ML integration, model workflows

Product Engineering

Architecture, delivery, and maintainable implementation

Team Leadership

Direction-setting, mentoring, and shipping as a team

University of Alberta
B.S. Computing Science with Specialization
Graduated June 2025
Based in Edmonton, Alberta

Experience

Product Engineer

Starise
Apr 2026 - PresentDoha, Qatar

Building product features for Starise, a platform that helps businesses turn happy customers into authentic reviews.

TanStack StartNext.jsDjangoReactAzureLeadership

Key Achievements

  • Full-Stack DeliveryProduct engineering
    Shipping customer-facing features end to end across TanStack Start, Next.js, and Django services
  • Technical LeadershipLeadership
    Driving technical direction and delivery on Azure-backed infrastructure

Lead AI/UI Engineer

TENN.ai (KAIC.ai)
Aug 2024 - Dec 2025Remote

Leading product engineering for AI platforms with a focus on reliability, speed, and clearer user workflows.

Next.jsReactTypeScriptAI/MLTeam Leadership

Key Achievements

  • Performance EngineeringPerformance
    Reworked rendering and data-loading paths to improve perceived speed by 4x
  • Team LeadershipLeadership
    Set delivery plans and technical direction across product cycles
  • Product ShowcaseGlobal recognition
    Presented platform outcomes at Web Summit Doha
  • Growth MetricsBrand visibility
    Shipped features tied to user-facing growth goals

Founding Engineer

Gradekick
Jun 2024 - PresentEdmonton, AB

Building an EdTech product from zero to production with custom AI orchestration and cloud-native deployment.

Next.jsExpressPostgreSQLMilvusAzureKubernetes

Key Achievements

  • Platform ScaleGlobal users
    Built core product and platform foundations from scratch
  • AI ArchitecturePerformance
    Designed internal orchestration layer to simplify model workflows
  • Cloud InfrastructureDevOps
    Set up Azure Kubernetes deployment paths with faster release cycles
  • Founding ImpactFounding Engineer
    Owned major architecture decisions as part of the founding team

Software Development Intern

Dibsy
Jun 2023 – Aug 2023Doha, Qatar

Built analytics and processing improvements for high-volume fintech workflows.

GolangMongoDBElasticsearchData AnalyticsFintechPerformance OptimizationFraud Detection

Key Achievements

  • Analytics Optimization72h → <2min
    Built analytics interface reducing report generation from 72 hours to under 2 minutes
  • Data Pipeline12% faster
    Optimized data pipeline for 15,000+ daily records with a 12% speed gain
  • Visualization SystemsReal-time
    Designed and implemented real-time data visualization dashboards
  • Fintech IntegrationFintech domain
    Worked with financial data systems and compliance requirements

Skills

Languages
TypeScript
JavaScript
Python
Golang
C/C++
CUDA
Java
SQL
TypeScript
JavaScript
Python
Golang
C/C++
CUDA
Java
SQL
Frameworks & APIs
Next.js
React
React Native
Expo
Django
Flask/Quart
FastAPI
Express
REST
gRPC
Next.js
React
React Native
Expo
Django
Flask/Quart
FastAPI
Express
REST
gRPC
AI, ML & Vision
LangChain
Vercel AI SDK
PyTorch
TensorFlow
CoreGraph
OpenCV
COLMAP
ORB-SLAM
Gaussian Splatting
NeRF
ROS
LangChain
Vercel AI SDK
PyTorch
TensorFlow
CoreGraph
OpenCV
COLMAP
ORB-SLAM
Gaussian Splatting
NeRF
ROS
Cloud, Data & Tooling
Azure
AWS
Google Cloud
Docker
Kubernetes
CI/CD
Firebase
Supabase
PostgreSQL
Elasticsearch
Linux
Git
Vitest/Jest
Microservices
Pub/Sub
Jira
Scrum
Azure
AWS
Google Cloud
Docker
Kubernetes
CI/CD
Firebase
Supabase
PostgreSQL
Elasticsearch
Linux
Git
Vitest/Jest
Microservices
Pub/Sub
Jira
Scrum

Breadth matters, but only when it serves delivery. I use this stack to move from prototype to production quickly while keeping systems understandable.

Selected Work

Nexusix For You Feed
Nexusix Profile View
Nexusix Share Interface
Mobile App
Delivered

Nexusix

Commissioned Social App with Interactive Visualization

Led end-to-end development of a commissioned social app visualizing user connections via interactive bubbles, delivering a cross-platform MVP for iOS and Android. Implemented scalable backend architecture using Express, Supabase, and PostgreSQL.

Collaborated with cross-functional teams to define product requirements and optimize user experience. The app features an innovative bubble-based visualization system for social connections, with a robust backend infrastructure designed for scalability.

Sep-Dec 2024
Timeline
iOS & Android
Platforms
MVP Delivery
Type

Key Features

Interactive bubble visualization
Cross-platform compatibility
Scalable backend architecture
User connection mapping

Technologies

React Native
Expo
Express
Node.js
Supabase
PostgreSQL
Jest
Computer Vision
Research

SFM-MVS for Photogrammetry

Advanced Feature Extraction & 3D Reconstruction

Developed a custom BRISK-SIFT feature extraction stack achieving 2.3x faster extraction with 29% more high-quality keypoints. Optimized SFM-MVS pipeline with advanced outlier removal, reducing point cloud noise by 40%.

Research project focused on improving photogrammetry pipeline performance through custom feature extraction and advanced outlier removal. The BRISK-SIFT hybrid approach not only accelerated processing but also improved reconstruction quality, while sophisticated outlier handling significantly enhanced mesh clarity and accuracy.

2.3x Faster
Extraction
+29%
Keypoints
-40%
Noise

Key Features

Custom BRISK-SIFT extraction
Advanced outlier removal
CUDA acceleration
Improved mesh accuracy

Technologies

OpenCV
Python
CUDA
BRISK-SIFT
Point Cloud
SFM-MVS Research Report

Looking for an engineering partner?

I work best on products that need clear technical direction, thoughtful UX, and fast iteration. If you're building something ambitious, I'd be glad to help shape and ship it.

Contact

Let's build something useful

If you need an engineer who can shape product direction and ship production code, send me a note with what you're building.

I'm especially interested in AI products, developer tooling, and systems that need both strong UX and strong performance.

Open to new opportunities — full-time, remote or relocation
Location
Edmonton, AB, Canada — Mountain Time (UTC-7)

© 2025 Abdullah Khadeli.