- Led a team of developers, ensuring timely delivery of high-quality software solutions.- Developed ITGC (IT General Controls) compliant applications, ensuring adherence to regulatory requirements and standards.- Designed and implemented robust system architecture, focusing on reliability and scalability.- Developed and maintained web applications using React.js, React Native, and Python Django.- Collaborated with frontend and backend teams to create APIs and design user-friendly interfaces.- Optimized database performance by identifying and refining heavy SQL queries in PostgreSQL.- Worked closely with the DevOps team to ensure seamless deployments and efficient CI/CD processes.- Utilized agile methodologies and Jira for project management to streamline workflows and enhance team productivity.- Mentored junior developers, fostering a collaborative and growth-oriented team environment.

- Designed and implemented functional and technical requirements, ensuring robust and scalable solutions.- Developed efficient and maintainable backend and frontend components using React.js, React Native, and Python Django.- Led the team in managing testing processes and fixing bugs to maintain high code quality.- Prepared comprehensive technical documentation to support development and deployment processes.- Collaborated closely with the UI/UX team to integrate APIs and deliver seamless user experiences.- Implemented automated testing workflows using GitHub Actions to streamline CI/CD processes and improve code reliability.

- Developed and implemented functional requirements, contributing to both backend and frontend development.- Collaborated with senior developers to design and build scalable applications using React.js and Python Django.- Assisted in testing and debugging processes, ensuring the delivery of high-quality software.- Created and maintained technical documentation to support development activities.- Worked with the UI/UX team to integrate and implement APIs for enhanced user experiences.- Participated in code reviews and team meetings to foster a collaborative development environment.

- Developed a Convolutional Neural Network (CNN) for breast cancer detection using the Breakhis dataset, which contains histopathological images of benign and malignant cells.- Achieved an impressive accuracy of 95.33% with the CNN model, significantly contributing to early cancer detection efforts.- Preprocessed and augmented the dataset to enhance model performance and ensure robustness.- Fine-tuned hyperparameters and experimented with different architectures to optimize model accuracy and reduce overfitting.- Implemented data visualization techniques to analyze model performance and interpret results effectively.- Collaborated with a team of researchers to validate the model's findings and integrate feedback for further improvements.- Documented the entire process, including data preprocessing steps, model architecture, training, and evaluation, for future reference and reproducibility.