I am Abdul Sadiq, a passionate software developer with a strong foundation in programming and problem-solving. I enjoy creating innovative solutions and impactful projects across software development, machine learning, and web technologies. With a focus on efficiency and simplicity, I am driven by creativity, continuous learning, and a commitment to crafting solutions that address real-world challenges while paving the way for a smarter, technology-driven future.
More About MeCodsoft | April 2024 - June 2024
• Contributed to the development of various software projects, gaining hands-on experience in coding, debugging, and managing projects that improved overall efficiency by 20%.
• Designed, implemented, and rigorously tested multiple critical features, ensuring seamless functionality and achieving a 98% success rate in meeting project deadlines and requirements.
Khera Instruments Pvt. Ltd. | Sept 2024 - Nov 2024
• Managed and updated web content weekly, ensuring a 100% alignment with branding and business objectives to enhance the company’s online presence.
• Increased website responsiveness and search engine visibility, resulting in a 25% boost in user engagement and lead generation.
• Engineered a highly accurate gesture-tracking algorithm, facilitating seamless and fluid drawing capabilities with minimal latency, even during dynamic hand movements.
• Attained a consistent frame rate of 30 FPS, ensuring real-time interaction by leveraging advanced computer vision techniques for efficient video frame processing.
• Developed an advanced deep learning model leveraging Keras and TensorFlow specifically for the detection of pneumonia from X-ray images, utilizing cutting-edge CNN architectures to enhance diagnostic accuracy and improve clinical decision-making.
• Attained a remarkable 81% training accuracy after only 10 epochs, highlighting the model’s exceptional learning efficiency and robustness in identifying pneumonia from medical images with high precision.
• Engineered a robust predictive model utilizing logistic regression, achieving a high accuracy of 80% in predicting heart disease risk based on healthcare data.
• Implemented a user-friendly web app using Streamlit to showcase the heart disease prediction model.
I would love to hear from you! Whether you have a question,
want to discuss a project, or just want to say hello,feel
free to drop me a message. I’ll get back to you as soon as possible.
Phone: +918860230786
Email: abdul27sadiq@.gmail.com
Address: Delhi, India