CV

General Information

Full Name Hritik Arasu
Languages English, Python, Java, R, MATLAB, SQL, C++, Solidity, Git, Swift, Rust, Go, JS

Education

  • Aug 2024 - Aug 2025
    MS in Applied Cognitive Neuroscience
    University of Texas
    • GPA - 4.0
  • Aug 2020 - May 2024
    BS in Computer Science & Statistics
    University of Illinois
    • Minor in Psychology
    • GPA - 3.87

Experience

  • Nov 2025 - Present

    Seattle, WA

    Machine Learning Engineer
    Tibbling Technologies
    • Developing machine learning models for various applications
    • Collaborating with cross-functional teams to integrate ML solutions
  • Sept 2025 - Present

    Seattle, WA

    Co-Founder
    Sellma.Ai
    • Building an AI-powered platform to assist users in selling products online
    • Leading the technical development and strategy of the platform
  • Jan 2025 - Present

    Dallas, TX

    Research Associate
    Global Innervation
    • Conducting research on neural interfaces and brain-computer interaction
    • Analyzing neural data and developing algorithms for signal processing
  • June 2025 - Aug 2025

    Remote

    Data Scientist
    Nervio
    • Developed data analysis pipelines to process and analyze large datasets using Python
    • Created visualizations and reports to communicate findings across teams
  • Aug 2024 - Jan 2025

    University of Texas

    Research Assistant
    CoCo-Neuro Lab
    • Developing piplines for future Projects
    • Independent Research on Neural Networks
  • Aug 2023 - June 2024

    University of Illinois

    Research Assistant
    Yu Lab
    • Collaborated with PhD candidates on neuroscience research regarding astrocytes
    • Developed classification and behavior models as well as analysis while assisting with experiments
  • Aug 2023 - Feb 2024

    University of Illinois

    Software Engineering Intern
    Puzzle Labs
    • Developed topic-specific large-language models (LLMs), contributing as a key member of the engineering team.
    • Automated web scraping across multiple platforms, delivering critical data to support team operations.
  • May 2023 - Aug 2023

    Chicago, IL

    Software Engineering Intern
    United Airlines
    • Contributed to the development of the Bag Manager platform for internal use, utilizing C++ and JavaScript with AWS, Spring Boot, and Kafka
    • Successfully deployed production level code for internal client applications and external web-based use, impacting every United Airlines passenger and employee
    • Took part in project management activities, grooming user stories, effectively coordinating with team members, monitoring progress, and ensuring timely project delivery in an agile work environment
  • Jan 2022 - June 2022

    University of Illinois

    Undergraduate Researcher
    IRisk Lab
    • Programming Smart Contracts for an insurance company and Data Analysis with datasets
    • Working in a small group with other 5 undergraduates supervised by Dr. Runhuan Feng
    • Backend and Smart Contract programming with Solidity and Dataset Analysis with Python
  • June 2021 - Aug 2021

    Seattle, WA

    Engineering Intern
    Kernel Labs
    • Engineering Intern at a Startup Studio working to develop MVPs
    • Held meetings with clients to gain further design insights into what the application requires
    • Used TensorFlow to mask and segment images for body parts and their lengths
    • Used Python to scrape images of models/celebrities from Google and preprocess them for testing the product
    • Created formulas to translate body dimensions into sizes of clothing in JavaScript
    • Developed mobile front-end dev in Swift and tested on an upcoming location-based tourism mobile app

Publications

  • September 2025
    StableSleep
    • A novel approach to sleep staging using source-free test-time adaptation with lightweight safety rails
    • Implemented SoTA models on Sleep-EDFx dataset
  • September 2025
    ArtifactGen
    • A generative model for creating synthetic artifacts in EEG data to improve robustness of sleep staging models
    • Utilized GANs to generate realistic artifact patterns

Projects

  • March 2022
    Construct Energy Efficiency
    • HackIllinois 2022 Winner. A web app that predicts the energy efficiency of a building given its characteristics.
    • Deployed with Heroku, Dataset from UCI, Built with CSS and JS, Modeled using Python
  • June 2022
    PyTorch NLP Lessons
    • A series of lessons on PyTorch for NLP. Includes tutorials on how to use PyTorch for NLP tasks.
    • Built with Python, PyTorch, and Jupyter Notebooks

Academic Interests

  • Brain-Computer Interfaces
    • Developing novel brain-computer interface systems
    • Exploring applications of BCIs in healthcare and communication
  • Neural Dynamics
    • Researching Continuous Learning in Neural Networks
    • Synthesization of Neural Data
  • Social Psychology
    • Building socially adept large language models
    • Investigating ethical implications of social LLMs
  • NLP
    • Created a tutorial which can be found in my Blog
    • Working a creating tools taking advantage of NLP

Other Interests

  • Hobbies
    • Hiking
    • Tennis
    • Lifting
    • Cooking
  • Reading
    • The Way of Kings - Brandon Sanderson
    • Guns, Germs, and Steel - Jaren Diamond
    • The Martian - Andy Weir
    • Bad Blood - John Carreyrou