I build intelligent mobile applications, Python automation systems, and practical machine-learning projects — with a focus on work that runs reliably, not just demos.
Based in Rawalpindi, Pakistan · Open to Junior Python Developer, AI Automation Engineer, Machine Learning Engineer, Flutter Developer, and Software Engineering roles.
- Bachelor of Science in Artificial Intelligence, University of Azad Jammu & Kashmir, Oct 2021 – Oct 2025, CGPA 3.24.
- Building applications with Python, Flutter, Dart, Firebase, REST APIs, and SQL, plus LLM, LangChain, and prompt engineering work.
- Interested in machine learning, deep learning, computer vision, OCR, reinforcement learning, and intelligent automation.
- Converting ideas and requirements into working applications, scripts, and prototypes — and into workflows that keep running without constant watching.
Founder & Lead Developer — Nassab, Aug 2026 – Present
A Flutter and Firebase genealogy and family heritage platform. It handles Rada'at (milk-kinship) as a separate relationship type, Mahram and marriage-eligibility interpretation, masked protected female names and guest mode, and lineage certificates with SHA-256 document-integrity verification. The app is in closed Play testing (package com.cyberfantics.nassab) and is not publicly listed yet. Project site: https://nassab-nine.vercel.app/
Python Developer, Freelance — Fiverr, Sep 2023 – Sep 2026 Python automation, data processing, and APIs for international clients.
Software Engineer Fellow — Headstarter AI, Jul – Sep 2024 Completed the Headstarter AI Software Engineering Fellowship, a project-based program focused on building AI-powered software applications.
Education — University of Azad Jammu & Kashmir, BS Artificial Intelligence, Oct 2021 – Oct 2025, CGPA 3.24; Corvit Networks, Artificial Intelligence, Jun – Oct 2024, Grade A+.
A Flutter app plus a Python signal and automation engine. It shows trade signals, a journal, PnL tracking, a Gemini AI chat coach, Bybit API integration, and Discord alerts. Paper-trading mode is the default. This is not live-trading advice, and no profit claims are made.
Status, stated honestly: the Python signal/automation engine is PRIVATE and is not published in this repository. A fixed v7.7 version of the engine (fee and slippage adjusted backtests, kill switch, daily-loss halt, and max open positions cap) has been prepared locally only and will not be uploaded unless the owner says otherwise. The Flutter app is described publicly in that repository, but that repository alone does not contain a complete runnable Flutter project (no pubspec.yaml or platform folders are claimed there), so the app cannot be built from that repository alone yet.
Technologies: Flutter, Dart, Firebase, Python, Gemini API, REST APIs, SQLite, Pandas, NumPy, Bybit API.
See Experience above. Project site: https://nassab-nine.vercel.app/
A university final-year project that transforms handwritten exam papers into structured digital documents, using OCR and image-preprocessing workflows, automated document formatting and export, and multilingual and mathematical-equation handling.
Status, stated honestly: there is no Examico repository published yet, so no repository link is given here. The project description above is the current public record.
Technologies: Python, OCR, OpenCV, Image Processing, Document Automation.
A custom reinforcement-learning environment where a Deep Q-Network agent learns to control a bird, collect targets, and avoid penalties, with experience replay, target-network updates, epsilon-greedy exploration, reward shaping, and gradient clipping.
Technologies: Python, PyTorch, Pygame, Reinforcement Learning, Deep Q-Networks.
A computer-vision application for extracting and displaying form information from live video, using hand gestures for interactive form selection and OpenCV processing with Gemini API-based text interpretation.
Note: this repository name is currently spelled form_digitilization. Renaming it to form-digitization is a separate website step and has not been done yet, so the link above uses the current name.
Technologies: Python, OpenCV, Computer Vision, Gemini API.
A Python automation utility for converting Jupyter notebooks into polished PDF documents, with configurable borders, headers, footers, and page numbers.
Technologies: Python, Selenium, PyPDF2, ReportLab.
A web application that converts images into customizable PDF documents with page-size, orientation, margin, and appearance controls.
Technologies: Python, PDF Processing, Web Development.
Core: Python, Flutter, Dart, Firebase, REST APIs, SQL, PostgreSQL, Supabase, Git, Linux, SQLite.
AI, Machine Learning & Data: Machine Learning, Artificial Intelligence (AI), Deep Learning, Data Preprocessing & Analysis, Model Training & Evaluation, PyTorch, TensorFlow, scikit-learn, OpenCV, Pandas, NumPy, LangChain, Large Language Models (LLM), Prompt Engineering, Gemini.
Tools & Automation: Selenium, n8n, Zapier, API integration, workflow automation, Python scripting, debugging, and refactoring.
- Artificial Intelligence: Machine Learning & Deep Learning — NAVTTC, Nov 2024
- Salesforce AI Associate — Oct 2024
- HackerRank Python — Apr 2024
- Google AI Essentials
- Machine Learning Specialization — Coursera
- Google IT Support Professional Certificate
- Google Cybersecurity Professional Certificate
Images already used in this profile README, verified in this repository
or as shields, are the LinkedIn, Email, and Nassab badges at the top,
and the certification badge images below (verified files in this
repository's assets/badges/ folder):
No project screenshots are included in this profile repository, and no screenshot files are linked here that do not exist. Project screenshots, when supplied, belong in the project repositories themselves (see the Images sections in the TradeMind and Nassab READMEs for the exact files needed), not as invented links here.
Building practical software with Python, Flutter, and AI.