
Bilal Rao
AI and ML Engineer
Skills

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Portfolio
Werkervaring
ML Engineer and Flutter Developer
International Service Provider
Apr 2025 - Present • 1 yr 1 mo
Engineered and deployed production-grade ML and mobile solutions for international Company: • ANPR System (Core Project): Designed and trained deep learning models for Automatic Number Plate Recognition achieving 99%+ accuracy in real-world conditions. Implemented full pipeline from data collection, model architecture design, training optimization, to live production deployment. Integrated with backend microservices serving real customers at scale. • Deep Learning Implementation: Applied advanced CNN architectures, YOLOv8 object detection, TensorFlow/PyTorch optimization techniques to solve real-world computer vision challenges under production constraints. • Flutter Mobile Development: Built cross-platform iOS & Android applications with real-time ML inference capabilities, integrating trained models into mobile interfaces for live deployment with international clients. • Real-Time Problem Solving: Addressed and resolved latency, accuracy, and scalability challenges in live production environments, maintaining system performance under real-world conditions. -- Tech Stack: Python, YOLOv8, TensorFlow, PyTorch, OpenCV, FastAPI, Flutter, Firebase, Dart
Python Developer
Enlights
Nov 2023 - Feb 2025 • 1 yr 3 mos
Developed and delivered production-grade Python applications across diverse domains for international clients. Key projects included: • Translense (OCR Translator App): Built a full-featured desktop application combining Tesseract OCR, real-time translation, NLP-based summarization (Hugging Face transformers), and multi-format document export (PDF, DOCX). Integrated OpenCV, pyttsx3, and langdetect for a complete text intelligence pipeline. • Tax & Banking Platform: Developed a secure, full-stack financial application in pure Django for an international client, handling tax computation and banking workflows. • Polytick.us – Political Trading Bot: Engineered an automated trading system in Python that analyzes global political news to generate trading signals based on world leader activity. • Automation Systems: Built automated email agents and daily progress report generators, reducing manual reporting overhead for clients. • Additional Deliverables: Developed multiple production Python applications spanning web scraping, data pipelines, and business process automation. -- Tech Stack: Python, Django, Tkinter, OpenCV, Tesseract OCR, Hugging Face, FastAPI, pyttsx3, FPDF, python-docx