Computer Science Student
Graduate Research Assistant at Southern Illinois University Edwardsville specializing in Data Analytics, ML, Computer Vision, and Deep learning. Passionate about leveraging AI for automation, pattern recognition, and solving real-world problems.
I am a Computer Science graduate student at Southern Illinois University Edwardsville (SIUE), specializing in Statistics, Machine Learning, Deep Learning, and Computer Vision. I am originally from Nepal, where I completed my Bachelor’s degree in Electronics, Communication, and Information Engineering from Tribhuvan University, Pulchowk Campus—one of Nepal’s leading engineering institutes.
Currently, I am working as a Graduate Research Assistant, focusing on developing deep learning models for multimodal time-series data, particularly in gait biomechanics and noisy real-world datasets. My work involves end-to-end data processing, model design, and high-performance computing on GPU clusters.
I have hands-on experience with TensorFlow, Keras, PyTorch, and OpenCV, and a strong foundation in predictive modeling, data preprocessing, and statistical analysis. My goal is to bridge theory and real-world applications through intelligent, data-driven systems.
Research in gait analysis and AI-based motion understanding using deep learning and signal processing.
Full-stack web development and backend optimization for scalable AI-ready systems.
AI-based gait analysis using deep learning and signal processing for motion understanding.
Character-level music generation using LSTM-based RNNs trained on symbolic music data.
Implemented CNNs and DB-VAE for bias mitigation in facial detection systems.
Implemented Q-learning and Value Iteration agents for policy optimization and exploration.
NLP system for sentence classification in biomedical abstracts using hybrid embeddings.
Food classification model using transfer learning on the Food101 dataset.
Implemented an inode-based virtual file system supporting direct and indirect addressing.
Traffic sign classification using fine-tuned VGG-16 with TensorFlow.
Implemented many-to-one user-level threading with Round Robin and Lottery schedulers.
Optimized e-commerce delivery routes for Chicago using advanced algorithms.
Real-time detection of cars and sidelights using custom YOLOv5 model with 95% mAP accuracy.
Comprehensive analysis of Google Play Store apps using Python and data visualization libraries.
Professional e-commerce website for FootBalance Nepal footwear company.
Statistical analysis of Nobel Prize winners throughout history.
Full-stack blog application with secure user authentication and commenting system.
Automated flight price tracker with notification system.
Modeling Frequency of network use and customer complains for an Iranian Telecom Company.
Modeling call failures and evaluating tariff plan preference for an Iranian Telecom Company.
Led Vision Architects to victory in the e-Governance category at the All Nepal Hackathon 2023.
Featured on Kantipur Television as team leader of Vision Architects following the All Nepal Hackathon 2023 victory.
Received Best Paper Award at ICT-CEEL 2023 for research on automating driving license tests using computer vision.
Presented research work on automation of driving license test using computer vision at ICT-CEEL 2023.
I'm always open to discussing research opportunities, collaborations, or exciting projects. Feel free to reach out!
Edwardsville, Illinois