Hey there!

I am a developer that enjoys brainstorming and attempting to solve problems in many varieties of fields.

• Study : Master's in Computer Science @ ASU
• Work : Currently looking for full-time roles.
• Area : Augmented Reality, Virtual Reality, Mixed/Extended Reality, Game Developement, Machine Learning, Artificial Intelligence, Computer Vision, UI/UX, Data Visualization, Full-stack(intermediate)

• Programming Language -----> C, C++, C#, Python, HTML, CSS, JavaScript, SQL
  
• Developer Tools -----> Git, VS Code, Unity3D, Blender, SketchUp, AxureRP
  
• SDKs -----> WebXR, Vuforia, ARKit, ARCore, Wikitude, OpenXR, AR.js, Three.js, OpenGL
  
• Libraries -----> TensorFlow, Keras, PyTorch, Scikit-learn, Matplotlib, Pandas, NumPy, OpenCV, OCR, YOLOv3
  
• Hardware -----> Meta Quest2, Meta Quest Pro, Pico Neo 3, Varjo XR-3, Microsoft Hololense, Raspberry Pi, Arduino

• Virtual Piano : Play piano from any plane surface using Mediapipe Hand tracking system.
• Stellar Variability Investigation in VR : NASA - TESS data investigation in VR for Exoplanet discover + Stellar Variability.
• Breast Cancer Detection : Brease cancer detection and visualization.
• BrainNet : Android application to solve the issue of biometric liveness detection from an EEG dataset.
• EMNIST Evaluation : Variants in the Extended MNIST dataset were subjected to in-depth analysis. I was able to achieve comparable accuracy to state-of-the-art models using a simple Conv2D CNN model and precise hyperparameter tuning.
• Depression Detection using Sentiment Analysis of social media : Formulated a machine learning model to analyse thousands of Twitter tweets, to predict people’s sentiment by the correlation between emotions and specific linguistic features.
• Best Buy : Visualise commercial product data in AR on product by scanning barcode.
• Project Trash : Built a CNN model (Resnet101 variant) for garbage classification and volume estimation. Also accurately mapped and visualized data using heat maps. Citizens can provide an image dataset, later used by local municipalities.
• ShopAR : Try apparels on your 3D model(using single picture) before buying online in Augmented Reality.
• AR Assist : Augmented reality training program for manufacturing products.
• ProHelm : Smart biker's helmet with XR (Extended Reality) System for visual assistance in navigation(HUD). Extended augmented reality-based display effects were achieved by reflecting a mini projector onto the translucent helmet visor at a certain angle. Results provide a hands-free and distraction less biking experience.
• MUnix : Mobile + UNIX = MUNIX is a featured phone interface build on a UNIX system using command and Perl scripting for implementing various features of the phone.

• Bi Direction Search - PacMan : Bi-Direction Search, DFS, BFS, UCS and A-Star implementation for Pacman game.
• Image Retrival System : Developed an image retrieval system. Color Moments, LBP, and HOG are examples of implemented feature extraction methods. Then, using techniques like PCA, LDA, SVD, and K-means, reduce the dimensionality to the top K features. Decision Tree, SVM, and Personalised PageRank classifiers were used to classify the data.