I'm Zakir, a full stack developer specializing in document intelligence, OCR (Optical Character Recognition), PDF processing, and AI integration. I build production-ready systems for educational technology and document automation, with expertise in synthetic data generation, multi-backend OCR pipelines, and custom PDF parsing engines.

Core Expertise:

• Document Intelligence: OCR systems, PDF processing, synthetic data generation
• AI Integration: Model fine-tuning (LoRA, vLLM), Gemini API, DeepSeek OCR
• Full Stack Development: Python/Flask backends, React frontends, Android apps
• Production Systems: GPU orchestration, Docker, scalable architecture

Technologies: Python, React, DeepSeek OCR, Mathpix, Gemini API, Hugging Face Hub Sophisticated CLI system for parsing OCR results from exam papers and generating synthetic training data with ground-truth bounding boxes. Multi-backend OCR pipeline with intelligent routing.

Technologies: Python, Flask, React, Shell Scripting, GPU Orchestration Production-ready OCR system running DeepSeek-OCR and MinerU simultaneously on dedicated GPUs. Features intelligent backend selection, parallel processing, and real-time performance monitoring.

Technologies: Python, Cairo Graphics, FreeType, Tkinter, Regex Tokenization PDF processing engine built from scratch with custom regex tokenizer and graphics state machine. Supports Type1/TrueType/Type0 fonts, hierarchical document structure analysis, and question detection systems.

Technologies: React, TypeScript, Tailwind CSS, Gemini API, PDF.js, JSZip Client-side React application for generating exam questions from study materials using Gemini API. Features PDF upload, intelligent question generation, and export functionality.

Technologies: Python, LoRA, vLLM, Hugging Face Transformers, Shell Scripting Fine-tuning DeepSeek's OCR models using LoRA for efficient parameter optimization. Includes training pipelines, evaluation scripts, and model serving with vLLM.

Technologies: Java, Android SDK, SQLite, MVVM, Material Design 3 Android productivity app for managing tasks within structured programs using punishment system. Features goal tracking, habit formation, and progress analytics.

• JavaScript (90%), TypeScript (85%), Vue.js (80%), HTML5 (95%), CSS3 (92%), React (75%)

• Python (95%), Flask (82%), Java (85%), Node.js (78%), REST APIs (90%), SQL (85%)

• Android Studio (80%), Java (85%), Kotlin (75%), React Native (70%)

• DeepSeek OCR (85%), Mathpix, Gemini API, LoRA fine-tuning, vLLM serving
• Synthetic data generation, ground-truth bounding boxes, data augmentation
• Hugging Face Hub integration, model deployment, GPU acceleration

• Git (92%), Neovim (85%), VS Code (90%), Docker (75%), Shell scripting
• GPU orchestration, CI/CD pipelines, performance optimization

• Advanced optical character recognition with multiple backends (DeepSeek OCR, Mathpix, Gemini)
• GPU acceleration and intelligent routing
• Handwritten text recognition and mathematical equation parsing
• DeepSeek OCR fine-tuning and multi-backend orchestration

• Custom PDF parsing and rendering built from scratch
• Cairo graphics and FreeType font rendering (Type1/TrueType/Type0)
• Custom regex tokenization and document structure analysis
• Question detection systems and hierarchical parsing

• Generating synthetic training data for OCR models
• Ground-truth bounding boxes mimicking real-world exam papers
• Data augmentation pipelines and Hugging Face Hub integration
• Synthetic exam generation for model training

• Fine-tuning vision-language models using LoRA for parameter optimization
• vLLM serving and Gemini API integration
• GPU acceleration and real-time processing
• Custom model development and deployment

• Exam paper processing and automated question generation
• Tutoring platforms and learning management systems
• Student assessment and progress tracking

• Intelligent document processing and form extraction
• Contract analysis and archival digitization
• Automated data entry and validation

• OCR model development and synthetic data research
• Document intelligence algorithms and open-source tools
• AI integration research and implementation

This portfolio website is deployed on GitHub Pages and showcases my projects, skills, and expertise: 🔗 Live Site: https://zakir0101.github.io/zakir0101/

• Document Intelligence Expertise Section: Dedicated showcase of OCR, PDF processing, and AI integration capabilities
• Interactive Project Cards: Real GitHub API integration showing live repository data
• AI Chat Assistant: Voice-enabled chatbot with pre-programmed responses about my projects
• Skills Visualization: Animated progress bars for technical proficiencies
• Responsive Design: Mobile-first approach with dark/light theme toggle

• Frontend: HTML5, CSS3 with CSS variables, JavaScript ES6+
• Interactivity: GitHub REST API integration, Web Speech API for voice recognition
• Performance: Optimized animations, lazy loading, efficient rendering
• Theming: CSS variables for dark/light modes with system preference detection

• GitHub: github.com/zakir0101
• Email: zakir1996@gmail.com
• LinkedIn: [ www.linkedin.com/in/zakir-mamoun-6760432b0]
• Portfolio: https://zakir0101.github.io/zakir0101/

I'm continuously advancing my skills in:

• Advanced OCR model fine-tuning and optimization
• Scalable document processing pipelines
• AI integration for educational technology
• Production system architecture and DevOps

"Building intelligent document processing systems and AI-powered applications for the future of education and automation."

Last Updated: December 2025