Experience

  • Independent Study

    • Organization: University of Wisconsin-Madison

    • Location: Madison, WI
    • Duration: September 2023 - Present
    • Working on a machine learning approach to mini localization problem.
    • Creating a customized trajectory prediction engine based on historic and current user data.
    • Advisor: Dr. Suman Banerjee, David J. DeWitt Professor

  • Associate Engineer - AI/ML

    • Organization: Qualcomm

    • Location: Hyderabad, India
    • Duration: July 2022 - July 2023 (1 Yr)
    • Contributed towards the development and maintenance of SNPE (SnapDragon Neural Processing Engine).
    • Improved the testing pipelines for running deep neural networks on SnapDragon SoCs.
    • Introduced evaluation frameworks and metrics for ML models to enhance efficiency and accuracy.
    • Skills: Edge Machine Learning, Python, Docker
    • Manager: Mrs. Archana Patil, Engineer - Staff / Manager

  • Machine Learning Intern

    • Organization: Mad Street Den (Vue.ai)

    • Location: Chennai, India
    • Duration: March 2021 - June 2022 (1 Yr 4 Mos)
    • Developed a tool for document processing as part of the NLP core group using an OCR engine, image processing, and NLP techniques to process unstructured data and convert them to a structured format.
    • Built Computer Vision models to serve educational recommendations.
    • Skills: NLP, CV, Python, PyTorch, Tensorflow, NumPy, pandas, scikit-learn, NLTK, spaCy, OpenCV, AWS
    • Manager: Mr. Anand Chandrasekaran, Founder and CTO

  • Part-Time Undergraduate Research & Teaching Assistant

    • Organization: Bright Academy (Previously Solarillion Foundation)

    • Location: Chennai, India
    • Duration: February 2020 - December 2022 (2 Yrs 11 Mos)
    • Collaborated on Terms of Service Classification, an NLP problem statement that uses a two-stage knowledge distillation DL approach on low-resource devices with cutting-edge architectures like BERT to find unfair Terms of Service terms.
    • Lead the NLP group that presented the "Sign Language Translation using Multi Context Transformer" paper at the 20th Mexican International Conference on Artificial Intelligence (MICAI), Mexico City, 2021.
    • To translate the input sign video, Multi Context Transformer architecture employs transformers and runs on batched video inputs. Our model achieved comparable results with the state-of-the-art model while reducing the parameters significantly to enable model deployment in more accessible devices.
    • Guided 5+ students in research, evaluated assignments and projects in Python and Machine Learning.
    • Oversaw the website development and managed the server for our research group.
    • Wrote bots for posting office hours and creating polls.
    • Skills: Research, NLP, CV, PyTorch, Tensorflow, NumPy, pandas, scikit-learn, NLTK, spaCy, OpenCV
    • Advisor: Mr. Vineeth Vijayaraghavan, Director - Research and Outreach

  • Student Researcher

    • Organization: Sri Sivasubramaniya Nadar College Of Engineering

    • Location: Chennai, India
    • Duration: December 2020 - April 2022 (1 Yr 5 Mos)
    • Introduced a novel architecture for Fake News Detection based on Transformer architecture, which considers the title and content of a news article to determine its integrity. Our work was accepted for publication in the Science Citation Index Expanded journal: IOS Press - Journal of Intelligent & Fuzzy Systems, 2023.
    • Developed a robust and cost-effective automatic speech recognition model for Tamil language leveraging Baidu's Deep Speech architecture. Our work was published in the Science Citation Index Expanded journal: Intelligent Automation & Soft Computing, 2022.
    • Skills: Research, NLP, Speech Signal Processing, PyTorch, Tensorflow, NumPy, pandas, scikit-learn, NLTK, spaCy
    • Advisor: Dr. Shahina A - Professor and Dr. Gayathri K S - Assistant Professor, Department of IT