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I'm a Python developer specializing in Django, RESTful APIs, and building scalable backend systems. I design secure blockchain platforms and full-stack solutions to improve reliability and efficiency. I'm proficient in PostgreSQL, MongoDB, and Redis, and I integrate AI components to optimize workflows. Through API design and implementation I deliver reliable back-end services that automate complex processes and reduce manual effort.…I'm a Python developer specializing in Django, RESTful APIs, and building scalable backend systems. I design secure blockchain platforms and full-stack solutions to improve reliability and efficiency. I'm proficient in PostgreSQL, MongoDB, and Redis, and I integrate AI components to optimize workflows. Through API design and implementation I deliver reliable back-end services that automate complex processes and reduce manual effort.

MUHAMMED ADIL

Web Developer, Back-End Developer, Full Stack Developer, +4

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I'm a Python developer specializing in Django, RESTful APIs, and building scalable backend systems. I design secure blockchain platforms and full-stack solutions to improve reliability and efficiency. I'm proficient in PostgreSQL, MongoDB, and Redis, and I integrate AI components to optimize workflows. Through API design and implementation I deliver reliable back-end services that automate complex processes and reduce manual effort.…I'm a Python developer specializing in Django, RESTful APIs, and building scalable backend systems. I design secure blockchain platforms and full-stack solutions to improve reliability and efficiency. I'm proficient in PostgreSQL, MongoDB, and Redis, and I integrate AI components to optimize workflows. Through API design and implementation I deliver reliable back-end services that automate complex processes and reduce manual effort.

Available to hire

I’m a Python developer specializing in Django, RESTful APIs, and building scalable backend systems. I design secure blockchain platforms and full-stack solutions to improve reliability and efficiency.

I’m proficient in PostgreSQL, MongoDB, and Redis, and I integrate AI components to optimize workflows. Through API design and implementation I deliver reliable back-end services that automate complex processes and reduce manual effort.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Lead Backend Developer at Scrapnet

January 1, 2024 - Present

Led the development of a blockchain-powered platform utilizing Django and smart contracts to automate and secure the car scrapping process, improving transaction transparency and efficiency. Designed and deployed RESTful APIs with Django Rest Framework for data integration and user management across the platform. Integrated machine learning models (TensorFlow) and advanced computer vision to automate car damage detection, achieving high accuracy in assessments. Applied Agile methodologies and Git-based version control to coordinate cross-functional collaboration and ensure timely project delivery.

Software Engineer at Leaf Disease Detection System

January 1, 2021 - April 1, 2021

Designed and implemented a deep convolutional neural network (CNN) using TensorFlow and Keras, reaching 90% classification accuracy for multiple crop leaf diseases. Automated large-scale image preprocessing, augmentation, and analysis by leveraging Pandas, NumPy, and Python scripting, enhancing the reliability of diagnosis. Reduced manual diagnosis time and improved farm productivity by providing farmers with AI-driven disease insights and actionable recommendations. Developed robust visualization tools with Matplotlib to monitor model performance and support data-driven decision-making. Employed test-driven development and unit testing to ensure solution dependability and to facilitate future scalability.

Software Developer at Scrapnet

January 1, 2024 - Present

Led the development of a blockchain-powered platform utilizing Django and smart contracts to automate and secure the car scrapping process, improving transaction transparency and efficiency. Designed and deployed RESTful APIs using Django Rest Framework for seamless data integration and user management across the platform. Integrated machine learning models (TensorFlow) and advanced computer vision to automate car damage detection, achieving high accuracy in assessments. Applied Agile methodologies and Git-based version control to coordinate cross-functional collaboration and ensure timely project delivery.

Software Developer at Leaf Disease Detection System

January 1, 2021 - April 1, 2021

Designed and implemented a deep convolutional neural network (CNN) using TensorFlow and Keras to classify multiple crop leaf diseases with 90% accuracy. Automated large-scale image preprocessing, augmentation, and analysis by leveraging Pandas and NumPy, enhancing the reliability of diagnosis. Reduced manual diagnosis time and improved farm productivity by providing AI-driven disease insights and actionable recommendations. Developed robust visualization tools with Matplotlib to monitor model performance and support data-driven decision-making. Employed test-driven development and unit testing to ensure solution dependability and scalability.