• Developing and deploying machine learning models to overcome challenges in motor control, enhancing precision and efficiency in robotics and industrial motor applications• Engineering integrated systems, data, and control pipelines to optimize motor control applications for accurate simulations• Leveraging MATLAB, Simulink, and Python to create synthetic and real-world data models, enhancing model reliability

• Collaborated with Dr.Prashant Shenoy and Dr.Abel Souza to develop a map to visualize the carbon intensity of electricity in regions globally, using Leaflet.js and OpenStreetMap API (asouza.duckdns.org:8001)• Co-developed the CarbonCast API with 5 Ph.D. students using the Django REST framework, enabling robust open-source access to multi-day carbon intensity forecasts (github.com/carbonfirst/carboncast/tree/django apis)• Built new API endpoints for real-time carbon-intensity visualization on the map using AJAX and JQuery• Introduced graph visualizations for the map using Matplotlib, Chart.js, and D3.js, revealing patterns between carbon intensity and demographic factors with Dr.Camellia Zakaria to further understand the impact of environmental data on public health• Achieved 90% faster API data retrieval times by implementing IndexedDB and localStorage caching with JavaScript, using Dexie.js for transactions and indexing data, which also reduced memory usage by 82%• Featured in an upcoming promotional video by One World Network and United Nations, highlighting our carbon-aware computing research at COP’29 to increase project visibility and its impact across global platforms like YouTube & Instagram

• Teaching 200+ students programming constructs, data abstractions, and object-oriented programming in Python while supporting faculty with office hour questions, promoting supplemental resources, and leading review sessions and study groups for students through the Fall, Spring, and Summer semesters

Selected out of 3,000+ applicants to participate in a Cornell Tech program covering ML engineering fundamentals and working in teams to solve real-world AI Studio projects from leading companies including a $2000 stipend upon 1-year tenure completion.

• Developed 5 websites to Drupal 10 using HTML and CSS, serving 2.5 million annual users and increasing traffic by 14% over a 3-month period.• Automated tasks involving data processing, resource management, and code refactoring using Python, improving efficiency and reducing manual workload.• Designed and optimized website content, layouts, and UI elements, enhancing user experience and implementing modern web standards.• Remediated PDFs for WCAG 2.1 compliance using Adobe Acrobat and Allyant, and converted them into responsive web pages using HTML.

• Shared leadership responsibilities with the President and serving as spokesperson for the residence community• Co-hosted three successful events, each attracting over 500 attendees, honing my event planning skills• Developed leadership and communication skills while fostering community spirit• Won best House Council cluster of the year

• Led a team of 6 in redesigning Homework House’s website (homeworkhouseholyoke.org)• Developed a registration API using Express.js to handle HTTP requests, and React.js for user authentication, enabling authorized administrative users to log in and modify web page content hassle-free• Boosted website performance using Next.js for server-side rendering & lazy loading, and Redux for state management, leading to 25% increase in page views, 50% faster content load times, and 500+ new visitors

• Led the marketing segment of Spikeview in the Middle East and Asia region• Developed and implemented effective marketing strategies to raise awareness of spikeview• Gathered insights and feedback to inform product development and drive user adoption• Implemented targeted marketing campaigns and initiatives, including digital advertising, events, and PR activities• Drove significant growth in user acquisition, engagement, and revenue for spikeview in the Asia/MENA region

• Created assets for Spikeview's social media accounts• Ideated several strategies that helped increase follower count by 2000• Boosted platform engagement and user adoption by 45%• Led collaborations/partnerships with other companies to increase app engagement• Enabled organic user acquisition by 40%

• Co-led a dynamic team in hosting a highly successful hackathon with over 120 participants, showcasing the latest technologies and fostering innovation.• Secured 11 leading sponsors for the hackathon, allowing for over $80,000 in prizes to be awarded to participants and amplifying the event's reach and impact.• Assisted in managing the Advisory Board, arranging meetings, and capturing minutes to ensure the organization's operations ran smoothly and efficiently.• Collaborated closely with diverse stakeholders, including corporate sponsors, community partners, and technical experts, to advance Coding Your Future's mission and support its growth.• Contributed to fundraising efforts and strategic planning, helping to position Coding Your Future as a leading organization in the tech education space and expanding its outreach to new audiences.

• Published a research paper in the field of medical imaging, developing a deep learning model called ClaRet that leveraged a specialized convoluted neural network to accurately detect and classify retinal tears from OCT scans with an exceptional precision rate of 97.5%.• Implemented an innovative block-based approach to enhance the performance of a pre-trained VGG-19 model through transfer learning, writing customized layers in blocks to optimize feature extraction and improve the model's accuracy.• Presented research findings and insights to colleagues, and industry experts, contributing to the broader research community's knowledge base and informing best practices in the field.• Leveraged advanced programming languages and frameworks, including Python and TensorFlow, to build and test machine learning models and evaluate their effectiveness• Participated in regular training and professional development activities, including attending workshops and seminars, pursuing online courses and certifications, and seeking out mentorship and guidance from senior colleagues.

• Led the planning and execution of 15+ highly engaging and interactive workshops and events throughout the Middle East, focused on educating attendees about the exciting and transformative applications of artificial intelligence in the field of biology.• Leveraged cutting-edge technologies and methodologies, including deep learning algorithms such as ResNet and DenseNet, Kaggle datasets, and advanced statistical techniques like Naive Bayes and Random Forest, to demonstrate how AI can be used to detect and diagnose complex medical conditions such as diabetes, breast cancer, and heart disease with high accuracy.• Collaborated closely with colleagues and partners to develop and deliver high-quality content that met the needs and interests of diverse audiences, from students to industry professionals.• Created a highly engaging and interactive learning environment, using a range of teaching tools and techniques, including live demonstrations, hands-on activities, and group discussions, to ensure that participants were able to grasp complex concepts and apply them in real-world scenarios.

• Designed and developed an innovative project that leveraged supervised machine learning to help visually challenged individuals navigate the physical world, using a platform called 'Snap! Berkeley'.• Leveraged supervised learning algorithms to create a custom model that could detect and identify obstacles in real-time, providing real-time guidance and support to users in challenging environments.• Demonstrated technical proficiency and problem-solving skills, earning a letter of recommendation from a prominent researcher at the University of Oxford for my contributions to the project.