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Daniyal Faheem
@daniyalfaheem
Level 1
Machine Learning Engineer 00 Python Scikit Docker Kubernetes 00
Pakistán
Inglés, Alemán
Sobre mí
I am a Data Scientist and aspiring Machine Learning Engineer based in Germany (OVGU), with 12+ years of software development experience. I have worked on real-world ML projects with Amazon DE and competed in OpenAI’s Hearthstone bot training competition, where I collaborated with a team to build and optimize AI agents.
Why you should hire me
With a strong background in software engineering and data science, I build ML systems that are clean, scalable, and efficient. I focus on delivering high-quality, production-ready work that meets business goals and performs reliably in real environments.
Habilidades
Daniyal Faheem
USD 45/hora
desconectado •
Revisa mis servicios
Consultoría tecnológica con IA
I will do ml model development and docker containerization
Sitios web y software con IA
I will create ml and ai models and dockerize them for production
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USD 45
/
horaPorfolio
Experiencia laboral
Machine Learnin Engineer
DataRopes.ai • Tiempo completo
Oct 2021 - Present • 4 yrs 7 mos
Built and evaluated ML models for structured and time-series datasets using Python and scikit-learn. Improved model performance through feature engineering, preprocessing, and hyperparameter tuning, resulting in more accurate and stable predictions. Designed reproducible ML workflows with experiment tracking, consistent evaluation, and validation strategies. Containerized training and inference pipelines using Docker for consistent deployment across environments. Supported the full ML lifecycle from data cleaning → model training → evaluation → packaging for deployment.
Sr. Full Stack Developer
Celtic Knots • Tiempo completo
Feb 2015 - Sep 2021 • 6 yrs 7 mos
I have been working with celtic knots as a full stack developer on remote basis for all their android and ios applications as well as backend developer for other solutions in technologies including, but not restricted to, AWS, Azure and Node
13 Reseñas
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Desglose de calificaciones
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1-5 de 13 reseñas
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