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Summary

Overview PhD candidate with expertise in machine learning research for BCI (fNIRS, EEG), physiological signals (ECG, pupillometry) and behavior (EMG, eye-tracking). Proficient in statistical and AI models for time-series analysis. Specializing in novel ML methods for health sensing, neuromotor interfaces and quantitative analysis.

Education

  • Sep 2025 (Expected)
    Ph.D. in Mechanical Engineering
    Rensselaer Polytechnic Institute
    • GPA: 3.58/4.0, Thesis: Bimanual Motor Skill Assessment Using Raw Neuroimaging, Explainable AI, and Multimodal Integration
  • May 2024
    M.Eng. in Mechanical Engineering
    Rensselaer Polytechnic Institute
    • GPA: 3.69/4.0, Project: A Dilated Causal Convolutional Model for Surgical Skill Assessment Using Optical Neuroimaging

Technical Skills

ML & Modeling CNNs, Transformers, WaveNet, Autoencoders, Adversarial methods, Ensemble learning
Programming/Script Python (Tensorflow, Pytorch, JAX, MLX), C, Matlab, R
Tools & libraries SciPy, Sckit-learn, Pandas, AWS, Homer3, EEGlab, MNE, SPSS
Advanced Methods Numerical Optimization, System Identification, Information Theory
Engineering & Design SolidWorks, AutoCAD, ANSYS (Fluent, ICEM-CFD), XFLR5

Research Experience

  • Jan 2020 – Present
    Neuroimaging & ML for Human Factors
    CeMSIM, RPI
    • Developed AI models for classifying surgical skill performance and exploring effects of stress. Created data pipelines to denoise and compile large-scale fNIRS/physiological datasets. Utilized novel BERT-inspired methods to fuse hemodynamic, pupillary, and EEG signals for neuromotor analysis. Provided data-driven insights on IRB protocols, device feasibility, and sensor usage, ensuring ethical and efficient data collection.

Teaching / Industry Experience

  • Jan 2020 – May 2020
    Teaching Assistant
    School of Engineering (RPI)
    • Mentored 200+ students for graduate (Machine Dynamics) and undergraduate (Numerical Methods) level courses
  • May 2018 – Sep 2023
    R&D Co-Director
    GRIT Engineering Pvt. Ltd.
    • Led machinery designs for TV franchises, HDPE recycling systems, and fabrication projects. Supervised intern teams in CAD modeling (dumbwaiters, food expeller systems, river ferries)
  • Dec 2017 – May 2018
    Robotics Intern
    Paaila Technology
    • Assisted in designing and fabricating mobility/articulation mechanisms for a commercial robotic waiter.

Volunteering & Achievements

  • Robotics Competitions: Represented Nepal at ABU Robocon, winning consecutive team awards in 2015 and 2016
  • Social Initiatives: Organized alumni-funded winter supply distribution to 9 villages. Hands-on deployment of 100+ post-earthquake relief housing in 14 remote locations of Nepal, 2015.
  • IOE Entrance Scholarship: Full-tuition, merit-based award