Resume

• Constructed Equivariant Graph Neural Networks for atomic potentials using group theory, spherical harmonics in PyTorch
• Utilized Crystal Graph-CNNs to predict elasticity and dielectric tensors improving MAE by 16% for Material Projects data
• Developed Material Recommender System employing Bipartite Graph Networks with CSM-based Structure-Motif relations

• Developed Topic Labelling model using PageRank and Trigrams to generate high-quality labels and categorize key concepts
• Implemented OCR approaches of OpenCV, Table-Transformer and Tesseract to extract tabular data from scanned PDFs
• Enhanced quality of Keywords using ALTOXML and utilized Longformer for Named-Entity-Recognition task in Chinese
• Deployed standalone production models as Docker containers using Kubernetes for rigorous testing and efficient servicing

• Assisted Professors in mentoring students by providing timely feedback on projects and conducting live code sessions

• Developed GPS navigation and networking app for tracking activity data, resulting in CFR of 98.9% for 80+ bike rider groups
• Analyzed customer usage data using Tableau dashboards and recommended personalized routes and relevant ride challenges

Related Courses:
• Supervised Machine Learning • Unsupervised Machine Learning • Algorithms • Deep Learning • Natural Language Processing • Database Management Systems • Data Management and Processing • Capstone

• Big Data Analytics • Artificial Intelligence (AI)
• Cloud Computing • Human Computer Interaction
• Soft computing • Software Engineering • Cyber Security
• Microprocessers • Computer Graphics & Design