Projects
My recent work and ventures
RoboInk
AI PrintingElectronDjango
AI & Automation
AI & Automation
RoboInk: AI-Powered Personalized Printing System
Led the design and development of a personalized printing system that enables businesses to offer customized handwritten-style cards, integrating frontend, backend, automation scripts, and cloud infrastructure.
Key Features:
- •Cross-platform frontend using Electron JS for text input and print management
- •Django backend with PostgreSQL on Amazon RDS and S3 for secure storage
- •Python scripts for SVG to G-code conversion using proprietary KX software
Technologies:
Electron JS
Django
G-code
PostgreSQL
AWS
Docker
AEC Prime
AEC MarketplaceReactDjango
Full Stack
Full Stack
AEC Prime: Marketplace for AEC Professionals
Developed a marketplace tailored for professionals in the Architecture, Engineering, and Construction (AEC) industries, connecting buyers with industry-specific software tools.
Key Features:
- •Team Lead & Backend Engineer - Led project from concept to deployment
- •Django backend with Serializers and Signals for efficient data handling
- •Automated deployment pipeline with GitHub Actions and Docker
Technologies:
React
TypeScript
Django
PostgreSQL
AWS
Zustand
Chakra UI
MarkAid
AI GradingNLPEducation
AI & Education
AI & Education
MarkAid: AI-Empowered Grading Assistant
AI-empowered grading assistant for teachers, featuring auto-assessment, intelligent feedback, question-answering, and sentiment analysis.
Key Features:
- •Auto-grading for theoretical O-Level subjects (Pak-Studies exams)
- •Question-answering system to extract answers from lengthy text passages
- •Intelligent feedback system with personalized recommendations
Technologies:
Django
React
NLP
PyTorch
Apache Airflow
Docker
PointNet Classifier (PyTorch)
PointNet3D VisionPyTorch
AI & Computer Vision
AI & Computer Vision
PointNet Classifier (PyTorch)
Developed a PointNet Classifier using PyTorch for 3D object classification and semantic segmentation.
Key Features:
- •3D object classification using ModelNet10 dataset
- •Preprocessed 3D mesh data into point clouds
- •Designed T-Net layers for alignment and transformation invariance
Technologies:
PyTorch
3D Object Classification
Semantic Segmentation
ModelNet10
Deep-Fake Audio Generation
Audio AIDeepfakeTacotron2
AI & Audio
AI & Audio
Deep-Fake Audio Generation
Research project: Generating quotes and giving them a human voice. Combined text generation with audio deepfake to create synthesized, human-like quotes.
Key Features:
- •Text generation using advanced language models
- •Audio synthesis using Tacotron2 architecture
- •Human-like voice generation for synthesized quotes
Technologies:
LSTM
Transformers
Tacotron2
Audio Processing