Mohammad Sadiq Ahmed

I pursued coursework in Computer Science at Siddhartha Institute Of Engineering and Technology, broadening my academic horizons and exposing me to diverse perspectives. This academic rigor not only deepened my subject-specific knowledge but also honed my critical thinking and problem-solving abilities.

Beyond the classroom, I actively engaged in cross-cultural activities and community outreach initiatives. This involvement allowed me to develop exceptional adaptability and cross-cultural communication skills. It challenged me to step outside my comfort zone, fostering independence and resilience.

Language acquisition was a central part of my study journey, and I fully immersed myself in mastering the English language. My proficiency soared through daily interactions, coursework, and language-focused activities, making me proficient in both academic and practical contexts.

Additionally, I took part in tech fests organized at the college and also participated inter college games, which provided invaluable hands-on experience in Leadership Skills and Time management skills, further enhancing my skill set. This experience reinforced my commitment to a global outlook.

Analysis and Prediction of Students Academic Performance (MINOR PROJECT)

• Developed Java server-side components, including JSP, to enhance the functionality of web applications.
• Conducted comprehensive unit testing to validate the integrity and reliability of the implemented code.
• Assisted in code review sessions, ensuring adherence to coding standards, best practices,
• Executed thorough functional testing to identify and resolve bugs, optimizing the performance of modules.
• Key skills. Java server-side development, Java Server Pages (JSP), Unit testing, Code review, Functional testing, Bug identification and resolution, Coding standards adherence, Quality assurance, Application functionality verification.

Human Activity Recognition (MAJOR PROJECT)

• Developed and deployed a deep learning model (PyTorch, TensorFlow) with 95% accuracy for human activity classification.
• Integrated model into application, enabling real-time interactive feedback and knowledge-based assessment.
• Collaborated with cross-functional teams for seamless model integration, considering scalability
• Conducted thorough testing and addressed bugs to ensure accuracy and reliability.
• Maintained and updated the deep learning model, incorporating new techniques for improved performance.
• Created comprehensive technical documentation for reference and knowledge sharing.
• KEY SKILLS : Deep learning model development (PyTorch, TensorFlow), Human activity classification, Accuracy optimization, Model integration, Real-time interactive feedback, Knowledge-based assessment, Cross-functional collaboration, Testing and bug resolution, Model maintenance and updates, Technical documentation.