Designation: Software Developer
                            
                            
                            Core Directives: Creating intuitive, human-centered solutions at the intersection of neuroscience and AI.
                            
                            
                            Location: Edmonton, AB
                            
                            
                            Tech Stack: JavaScript | Python | Java | C/C++ | HTML/CSS | Swift
                            
                            
                            Frameworks & Libraries: React.js | Node.js | Django | TensorFlow | Firebase | MySQL | PostgreSQL
                            
                            
                            Tools & Technologies: AWS | Docker | Git/GitHub | CI/CD             
                        
                            [ EDUCATION MODULE ]
                            
                            
                            B.Sc. Computer Science, University of Alberta
                            
                            
                            [ EXPERIENCE LOG ]
                            
                            
                            Neuroengineering Research Student, TUM:
                            Conducted research on wireless brain stimulation and modeled electric coils with Sim4Life and COSMOS.
                            
                            
                            VP Internal, UABSA:
                            Managed digital platforms for newsletters, scholarships, and student opportunities.
                            
                            
                            Curriculum and Resource Developer:
                            Created multimedia lesson plans and digital resources for educational engagement.
                        
                                    Description: Auralis is a neurotech project created for natHACKS 2024 that analyzes speech to detect early cognitive decline using NLP and machine learning trained on DementiaNet.
                                    
                                    
                                    Technoloiges: React.js, Python, Flask, Firebase, TensorFlow, OAuth, Figma.
                                    
                                    Status: Backend available on GitHub but not integrated with the live site.
                                    
                                    Repository: GitHub
                                    
                                    Demo: Live Site
                                    
                                    Other: Devpost                 
                                
                                    Description: Golden Pathways is an AI-powered survey-based system that matches students with academic programs based on their preferences.
                                    
                                    
                                    Technoloiges: React.js, Python, spaCy, NLTK, OpenAI GPT-4, Figma.
                                    
                                    Status: Frontend is fully implemented, backend is in development.
                                    
                                    Repository: GitHub
                                    
                                    Demo: Coming soon.
                                
                                    Description: Alberta Heart is an interdisciplinary team of engineers researching, designing, and prototyping a Total Artificial Heart for the Heart Hackathon 2025.
                                    
                                    
                                    Technoloiges: Jetson nano
                                    
                                    Status: Conceptual Phase — Currently researching and conceptualizing, with early code development underway.
                                
                                    Description: BoreMe is a neurotechnology-driven system designed for speed-dating that analyzes EEG data in real-time to assess user engagement and determine interest in potential romantic partners.
                                    
                                    
                                    Technoloiges: Python, Machine Learning, EEG Data Analysis, Adafruit Feather v2, 3D Printing.
                                    
                                    Status: Prototype Ready. Basic functionality is complete.
                                    
                                    Repository: GitHub
                                    
                                    Other: Devpost