About me
I'm a Computer Science professional with a solid foundation from Arizona State University, skilled in web development and machine learning. Proficient in Python, Java, ReactJS, and TensorFlow, I transform complex problems into efficient and innovative web and AI solutions.
Dedicated to continuous learning and innovation in the rapidly evolving tech landscape, I actively seek opportunities to apply my skills and passion for web development and machine learning in dynamic settings. Eager to contribute my expertise, collaborate with diverse teams, and make a lasting impact through intuitive, high-quality web applications and intelligent systems that drive user engagement and deliver insightful, data-driven results.
What i'm doing
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Web design
The most modern and high-quality design made at a professional level.
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Web Development
Creating functional, user-friendly, and visually appealing web applications.
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Data Analysis
Extracting and interpreting valuable insights from large datasets to drive informed decision-making.
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AI & ML
Designing and implementing advanced machine learning models to solve complex problems.
Proficiencies
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Collaboration
During my internship at Amazon, I collaborated with cross-functional teams to architect and implement a highly robust automated end-to-end testing framework. Utilizing tools such as JAVA and REST API, this collaborative effort resulted in an 80% reduction in testing duration. I also played a key role in identifying and resolving critical bugs within core modules, leading to a 40% decrease in post-launch issues. This experience highlighted the importance of teamwork, effective communication, and the ability to work cohesively with diverse teams to achieve significant technical milestones.
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Communication
Effective communication was pivotal in my role as a Teaching Assistant for C Programming courses at DA-IICT. I successfully conveyed complex programming concepts to a batch of 80 students, leveraging my deep understanding of C, data structures, and algorithms. I facilitated learning by breaking down intricate topics into manageable concepts, ensuring comprehensive understanding. This role underscored the value of clear, concise communication, active listening, and the ability to adapt my communication style to meet the needs of different learners, which are essential skills in both educational and professional technical environments.
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Leadership
As the leader of the AI Club at DA-IICT, I organized numerous workshops and events focused on artificial intelligence and machine learning, utilizing tools like TensorFlow and PyTorch. My leadership responsibilities included motivating team members, managing event logistics, and fostering an environment of collaboration and innovation. These activities not only enhanced the club's learning experience but also encouraged members to engage deeply with advanced AI concepts. This role demonstrated my ability to lead and inspire a team, manage multiple tasks efficiently, and create a positive, productive learning environment.
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Problem Solving
In my role as a Research Assistant at DA-IICT Research Lab, I engineered a cutting-edge deep learning architecture for plasma diagnostics. This project involved creating an extensive training dataset and utilizing tools such as Python, TensorFlow, and advanced data analysis techniques. The result was a significant improvement in the accuracy of density estimations, achieving a 30% decrease in false positives and an SSIM close to 0.99. This experience demonstrated my ability to tackle complex problems, conduct rigorous research, and deliver innovative, data-driven solutions. Additionally, I contributed to the field by publishing these findings in the esteemed Journal of Physics D: Applied Physics, showcasing my commitment to advancing knowledge through research.
