I build intelligent mobile applications, Python automation systems, computer-vision solutions, and practical machine-learning projects.
- 🎓 Bachelor of Science in Artificial Intelligence from the University of Azad Jammu & Kashmir.
- 💻 Building applications with Python, Flutter, Dart, Firebase, REST APIs, and SQL.
- 🤖 Interested in machine learning, reinforcement learning, computer vision, OCR, and intelligent automation.
- 🧩 Experienced in converting ideas and requirements into working applications, scripts, and prototypes.
- 🌍 Open to Junior Python Developer, Flutter Developer, Backend Developer, AI/ML Engineer, and Software Engineering opportunities.
A full-stack trading assistant project combining a Flutter/Firebase mobile application with a Python signal and automation engine.
- Displays and filters live, active, and closed trade signals.
- Tracks entry levels, stop loss, take-profit targets, and trade outcomes.
- Includes Firebase authentication, trading journals, saved AI conversations, and an AI trading coach.
- Supports sharing signals and AI responses as text, images, and PDFs.
- Uses a Python engine for technical indicators, recent-candle backtesting, Discord alerts, SQLite storage, risk controls, and Bybit demo-trading integration.
Technologies: Flutter, Dart, Firebase, Python, Gemini API, REST APIs, SQLite, Pandas, NumPy, Bybit API
The Flutter application and Python engine are being organized for publication in the repository.
A custom reinforcement-learning environment where a Deep Q-Network agent learns to control a bird, collect targets, and avoid penalties.
- Created the game environment and training pipeline with Python and Pygame.
- Implemented experience replay, target-network updates, epsilon-greedy exploration, reward shaping, and gradient clipping.
- Added manual play, trained-agent demonstration, and human-versus-AI modes.
Technologies: Python, PyTorch, Pygame, Reinforcement Learning, Deep Q-Networks
A university final-year project designed to transform handwritten exam papers into structured digital documents.
- Built OCR and image-preprocessing workflows for text extraction and layout handling.
- Designed automated document-formatting and export processes.
- Worked on multilingual content and mathematical-equation handling.
Technologies: Python, OCR, OpenCV, Image Processing, Document Automation
Repository and technical documentation will be published soon.
A computer-vision application for extracting and displaying form information from live video.
- Uses hand gestures for interactive form selection.
- Combines OpenCV processing with Gemini API-based text interpretation.
- Displays extracted information through a real-time interface.
Technologies: Python, OpenCV, Computer Vision, Gemini API
A Python automation utility for converting Jupyter notebooks into polished PDF documents.
- Automates notebook conversion with Selenium.
- Adds configurable borders, headers, footers, and page numbers.
- Organizes generated files into a structured output workflow.
Technologies: Python, Selenium, PyPDF2, ReportLab
🖼️ picPDF Maker
A web application that converts images into customizable PDF documents with page-size, orientation, margin, and appearance controls.
Technologies: Python, PDF Processing, Web Development
- Machine learning fundamentals and model evaluation
- Deep learning and reinforcement learning
- Computer vision and OCR pipelines
- Exploratory data analysis and time-series workflows
- Prompt design and AI API integration
- Python scripting, automation, debugging, and refactoring
- API integration, bots, file processing, and workflow automation
- Git/GitHub, virtual environments, Linux, n8n, and Zapier
- Google AI Essentials
- Machine Learning Specialization — Coursera
- Artificial Intelligence: Machine Learning & Deep Learning — NAVTTC
- Google IT Support Professional Certificate
- Google Cybersecurity Professional Certificate
- Salesforce AI Associate
