Aqsa

AI ML Engineer

Aridian Technologies

Mar 2026 - Aug 2026 • 5 mos

Worked on AI/ML and backend development projects, building intelligent applications and scalable APIs using Python and modern AI technologies. Key responsibilities included: • Developing AI/ML solutions and intelligent applications • Building backend APIs using Python, FastAPI, and Flask • Integrating AI/LLM capabilities into applications • Working with PostgreSQL and API integrations • Developing and testing production-oriented backend systems

AI ML Engineer

NASTP • Vollzeit

Jul 2025 - Jul 2026 • 1 yr

• Led the design and development of scalable AI-powered backend systems using Python and FastAPI. • Built and maintained secure RESTful APIs for AI applications, ensuring high performance, scalability, and reliability. • Developed end-to-end AI/ML pipelines for OCR, intelligent document processing, report generation, and cost estimation. • Integrated OpenAI and Gemini LLMs to automate document analysis, content generation, and AI-powered workflows. • Implemented Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases for context-aware responses. • Optimized backend performance through asynchronous processing, caching, and database optimization. • Designed and managed PostgreSQL databases to support scalable AI applications. • Collaborated with AI engineers, developers, and stakeholders to deliver production-ready AI solutions. • Performed backend testing, debugging, deployment, and production monitoring. • Evaluated emerging AI technologies and contributed to solution architecture for intelligent systems.

AI Engineer | Backend Python Developer

Naviquis • Vollzeit

Jun 2023 - Feb 2024 • 8 mos

• Developed AI-powered backend services using Python and Flask. • Collected, cleaned, and managed over 1,500 OPG dental X-ray images for model training. • Trained custom YOLOv8 models for multi-class dental disease detection. • Performed image annotation, preprocessing, model evaluation, and inference optimization. • Integrated AI models into Flask REST APIs for real-time predictions. • Collaborated with frontend developers to deploy AI-assisted diagnostic systems. • Evaluated model accuracy using validation metrics and real-world testing. • Participated in research, experimentation, and continuous model improvement. • Supported deployment of AI solutions in a production-like healthcare environment.