Quality Control professional with a master’s degree, a graduate certificate and Bachelor of Engineering in Mechanical Engineering and more than three years of professional experience in QC Quality control – Line Quality …
Quality Control professional with a master’s degree, a graduate certificate and Bachelor of Engineering in Mechanical Engineering and more than three years of professional experience in QC Quality control – Line Quality , Vendor Quality and Customer Quality and compliance of all Quality audits including ISO and automation of the QC work that reduced monthly reporting effort by approximately 40 hours at a manufacturing company. Currently working as a Machine Learning Engineer at Vosyn Inc., where I build low latency text to speech and voice cloning pipelines on Google Cloud Platform across more than 23 languages. Aim to turn operations into systems that help organizations make decisions.
<p>Fine tuned multilingual XTTS and FastPitch Text To Speech models and architected GCP Vertex AI/Kubeflow pipelines in Docker, thereby deploying voice cloning and speech synthesis on accelerated GPUs<br>
Refactored speech synthesis workflows and optimized PyTorch execution using ThreadPoolExecutor parallelization and CPU thread tuning, consequently cutting runtime by 42% without sacrificing audio quality<br>
Applied W8A32 dynamic quantization, ONNX conversion, and FP16 tuning to VITS architectures, thereby reducing model size by up to 68% and accelerating inference by 30%<br>
Containerized voice processing pipelines with GCS configurations and automated Cloud Run deployments via Pub/Sub workflows, therefore creating a cloud system that automatically handles data formatting, training, and audio generation<br>
Engineered mechanisms and fallback logic across OpenVoice, MeloTTS, FastPitch, and Google TTS APIs, as a result establishing voice cloning and speech synthesis coverage for more than 23 languages</p>
<p>Worked in Line Quality, Vendor Quality, Customer Quality and compliance of all Quality audits including ISO and automation of the QC<br>
Quality control in Gearmotors and gearboxes<br>
Ensured 100% documentation and technical audit compliance and its co ordination and problem solving<br>
Target Sectors being Industrial automation, Mobile machinery, Renewable energy thus ensuring 100% Quality compliance for Line, Vendor and Customer quality<br>
Automated performance test logging using Python scripts to validate sensor data, thereby reducing processing time by 85% and accelerating critical quality reviews<br>
Replaced manual QA data entry with automated validation scripts, consequently saving 40 hours of monthly logging overhead and freeing engineers for defect root cause analysis<br>
Shifted operator recorded Excel inputs into automated sensor data capture workflows, thereby eliminating data entry errors across all test logs<br>
Developed Power BI dashboards using live sensor data and inspection outputs, as a result providing leadership clear visibility into reliability trends and production risks</p>
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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