Daniel Ailemen
Software Engineer more focused on Backend Architect
Ready for work
Daniel is ready for their next project!
Built a real-time face detection and classification system using Python and computer vision techniques. Implemented video processing pipelines to detect faces and classify masked vs unmasked individuals, with optimized performance for real-time use.
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Developed automated data extraction pipelines for a real estate platform using Python, BeautifulSoup, Scrapy, and Selenium. Built systems to collect, clean, and structure large datasets, improving efficiency and reducing manual work.
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Built and supported an AI-powered headshot generation platform that allows users to create professional images without a photoshoot. Worked on backend systems, AI model integration, and performance optimization to ensure scalability and high-quality outputs.
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Founder and lead engineer of InvoiSmart, an AI-powered platform for automating business workflows. Designed and deployed scalable AI systems including speech-to-text, text-to-speech, and voice cloning using FastAPI and GPU-based inference. Built asynchronous processing pipelines with Celery and Redis to support high-performance workloads. Delivered production-ready solutions focused on scalability, reliability, and real-world impact.
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