Hi, I'm Awais
Systems Design Engineering student building AI and full-stack products.
AH

About

I build practical software end-to-end, from ML systems to production-ready web apps.

Work Experience

Worked on computer vision and production ML systems for industrial anomaly detection.

RAG infrastructure, semantic retrieval, backend systems

PCB defect inspection platform, full-stack development, ML pipelines

Education

University of Waterloo
University of Waterloo
Bachelor of Applied Science in Systems Design Engineering
Waterloo Aerial Robotics Group
Sept 2025 - Dec 2025
Autonomy Developer

YOLOv11 obstacle detection, OpenCV pipelines and MAVLink communication

Skills

React
Next.js
TypeScript
JavaScript
Node.js
Express.js
FastAPI
Flask
Django
Ruby on Rails
TailwindCSS
React Native
REST
HTML/CSS
Python
SQL
Pandas
NumPy
Redis
PostgreSQL
MongoDB
Qdrant
PyTorch
HuggingFace
OpenCV
RAG
Docker
Kubernetes
AWS
EC2
S3
Linux
Git
GitHub Actions
CI/CD
Projects

Featured work

AI Image Canvas

Built an interactive visual board for iterative AI image editing. Users paste images, draw annotations, and add text notes on a canvas, then a Codex plugin and MCP server parse those marks into edit instructions and place generated results back on the board.

TypeScript
React
MCP
Node.js
Codex Plugin

Halo

Built a healthcare operations platform that combines outbound patient calling, doctor workflows, and a nurse-facing 3D hospital digital twin. Teams can explore floor plans, inspect patient rooms, and run structured phone check-ins from one integrated stack.

Three.js
Next.js
FastAPI
MongoDB
Twilio
Gemini

Usage Widget

Built an iOS home screen widget that tracks Claude Code and Codex usage limits at a glance. Shows 5-hour and weekly progress bars with reset times, plus a companion app for importing auth tokens from a Mac.

Swift
SwiftUI
WidgetKit
iOS
Xcode

Stash

Built a content management app that helps users save, organize, and rediscover information from multiple sources. It uses AI-assisted workflows to improve search, summarization, and collection management.

TypeScript
React Native
FastAPI
Supabase
Redis
GPT-4o

Safe Sound

Built a monitoring tool for tracking noise exposure and surfacing actionable trends over time. The app combines real-time data capture with reporting features for safety-oriented use cases.

TypeScript
Next.js
FastAPI
SQLite
Electron
TailwindCSS
Hackathons

Hackathons

GenAI Genesis

GenAI Genesis

Canada

AI Hospital Management System ranked Top 10 out of 300 teams.

Contact

Feel free to reach out at ahashar@uwaterloo.ca :)

GitHub
LinkedIn