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General Information

Full Name Sukhada Vijay Ghewari
Languages English, Marathi, Hindi

Education

  • 2023
    MS in Computer Scinece
    University of California, San Diego
    • GPA- 3.97/4
    • Depth area- Artificial Intelligence
    • Courses taken
      • CSE 202- Algorithm Design and Analysis
      • CSE 239A- Seminar Topics in Databases
      • CSE 240A- Principles in Computer Architecture
      • CSE 250A- Probabilistic Reasoning and Learning
      • CSE 291A- Security, Privacy, and UX
      • CSE 255- Data Mining and Analytics
      • ECE 228- Machine Learning for Physical Applications
      • CSE 293- Graduate Student Researcher at Ideker Lab
      • CSE 280A- Algorithms for Computational Biology
      • CSE 251A- ML- Learning Algorithms
      • CSE 258- Recommender System and Web Mining
      • CSE 234- Data Systems for ML
  • 2019
    B.Tech in Computer Science
    Walchand College of Engineering, Sangli
    • CGPA- 9.51/10
    • Gold medalist of in CSE department of the batch 2019
    • Served as the Session Director at WCE ACM Student Chapter
    • Organized seminars and events on Machine Learning
    • Volunteered for social causes such as 'Jagruti- Teaching elderly women the basics of technology', 'SITAC- acquainting school students with basics of programming'

Experience

  • June 2022 - Sept 2022
    Software Engineer Intern
    Oracle America, Inc.
    • Developed an auto-healing system that recommends solutions to the errors in the CI/CD pipeline using Natural Language Processing techniques (TF-IDF vectorizer, stemming, lemmatizing) and Gradient boosting algorithm.
    • Built an end-to-end Machine Learning pipeline by integrating the model in the CI/CD pipeline using Java, Spring Boot, Maven, ReST APIs, and OJET.
  • Sept 2021 - June 2022
    Graduate Student Researcher
    Ideker Lab, UC San Diego
    • Built a novel Synapse Protein Ontology based on synaptic proteins interaction and isoform data.
    • Improved the performance using Random Forest and community detection algorithms such as CliXo, HiDef to create the ontology and neural network architecture for psychiatric disease prediction. (FDR <= 0.05).
  • July 2019 - May 2021
    System Engineer
    TCS Research, Pune
    • Deployed a Python tool to detect bias in ML models using confusion matrix and fairness metrics.
    • Authored a research paper and filed a patent through TCS in India domain for ’Domain Name Generation Algorithm’ for defensive registration to curb phishing and other malicious attacks using CFG and unsupervised learning.
    • Collaborated with research-focused team members and honed technical writing and project management skills.
  • Jan 2019 - June 2019
    Data Science Intern
    AlgoAnalytics Pvt. Ltd., Pune
    • Performed a comparative study and built semi-automated ICD-9 (International Classification of Diseases) Coding system using deep learning (F1 score 0.51).
    • Created an automating Question-Answer System using ensemble word embeddings and cosine similarity.

Academic Interests

  • AI
    • AI for Healthcare
    • AI for Medicine
    • AI for social good
  • Data Science
    • Data analysis and visualization
    • Biomedical data science

Other Interests

  • Digital art
  • Astronomy and astrophotography
  • Yoga and meditation
  • Popular science