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  • Arizona State University
  • Tempe, AZ

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handwavegif Hello there !

version :10.07.2024   profile count  GitHub AbhishekSinghDhadwal  build: passing

πŸ‘¨πŸ»β€πŸ’»  About Me

πŸ’‘   I'm a software developer and researcher by profession, and a MS in Computer Science (Biomedical Informatics) student at Arizona State University!
πŸ’»  I'm currently performing research in the field of multimodal detection of human behavioral patterns and computational psychiatry.
πŸŽ“ I graduated form Visvesvaraya National Institute of Technology, Nagpur (B.Tech, Computer Science and Engineering, Batch of 2021).
🌱  I'm on track for learning more about Artificial Intelligence, Homomorphic Encryption, and Computer Vision.
✍️  In my free time, I play guitar, football and pursue writing as my hobbies.
πŸ’¬  Feel free to reach out to me for general consulting, or discussions on the aforementioned topics!
βœ‰οΈ  You can email me at asinghdhadwal@gmail.com. I'll try to respond as soon as possible!
πŸ“„  You can check my LinkedIn for more details about work experience.

πŸ›   Tech Stack

Python  JavaScript  Java  C  C++  Django  Bootstrap
HTML  CSS  Git  GitHub  Visual Studio Code  jUnit  NumPy  Pandas  JMH 

πŸ“«   How to reach me:

LinkedIn   Gmail  

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  1. Indian-Sign-Language-Translator Indian-Sign-Language-Translator Public

    An Indian Sign Language Translator, created with the aim of achieving near-real time outputs, along with background and illumination independence.

    Python 41 9

  2. MRUNet-Masking MRUNet-Masking Public

    An experimental implementation of MultiRes-U-Net for facial feature segmentation using the CelebAMaskHQ dataset.

    Jupyter Notebook 1

  3. commons-rng commons-rng Public

    Forked from apache/commons-rng

    An archive for PRNGs I tested and implemented for the Apache Organization (GSoC '19)

    Java

  4. cql-cli cql-cli Public

    A helper CLI aimed at supporting CQL (Clinical Quality Language) operations on HAPI-FHIR servers.

    JavaScript

  5. Generating-T2-MRI-from-T1-Scans-Using-CycleGAN Generating-T2-MRI-from-T1-Scans-Using-CycleGAN Public

    CycleGAN-based model for generating T2-weighted MRI images from T1 scans to enhance diagnostic accuracy with unpaired datasets.

    Jupyter Notebook

  6. In-Surely In-Surely Public

    An interactive insurance policy query-answering notebook with a Retrieval-Augmented Generation (RAG) pipeline with semantic search, caching, and GPT-based response generation.

    Jupyter Notebook