CV

Curriculum vitae

General Information

Full Name Raj Sanjay Shah
Email rajsanjayshah@gmail.com
Website https://raj-sanjay-shah.github.io
Research Areas LLM safety, cognitive modeling, AI for mental health
Languages English (native), Hindi (native), Gujarati (native), Marathi (professional), Sanskrit (intermediate)

Education

  • 2023 - Present
    PhD in Computer Science
    Georgia Institute of Technology · Interactive Computing
    • Advisor - Prof. Sashank Varma
    • Focus on LLM safety, developmental alignment, and AI copilots for well-being.
  • 2024 - 2025
    Visiting Student Researcher
    Stanford University · SALT Lab
    • Host - Prof. Diyi Yang
    • Joint projects on counselor coaching systems and unlearning brittleness.
  • 2021 - 2023
    MS in Computer Science (Machine Learning)
    Georgia Institute of Technology
    • GPA 4.0 / 4.0
    • Coursework in ML, NLP, and human-centered computing.
  • 2017 - 2021
    BE in Computer Science + Minor in Data Science
    BITS Pilani, India
    • CGPA 8.54 (Major), 9.8 (Minor)
    • Graduated with institute best-paper honors in Information Retrieval.

Experience

  • Summer 2025
    Applied Scientist Intern II
    Amazon Science · Rufus
    • Built clarification-driven dialogue summarization that detects missing info and auto-asks targeted questions.
    • Reduced omission errors >25% across multi-domain transcripts.
  • Summer 2024
    Applied Scientist Intern II
    Amazon Science · HealthScribe
    • Evaluated LLM note generation for behavioral therapy progress notes.
    • Delivered quality metrics now embedded in AWS HealthScribe workflows.
  • Summer 2023
    Sr. Research Software Engineer (AI)
    IBM Research · Human-Centered AI
    • Ran user studies on calibrated human-AI collaboration for counseling support.
    • Shipped full-stack tooling for real-time MI coaching experiments.
  • Summer 2022
    Software Developer · ML Intern
    Epic Systems
    • Modeled clinician workflows to surface relevant patient context in dashboards.
  • Jan 2021 - Jun 2021
    Software Development Intern
    JPMorgan Chase & Co.
    • Automated regression suites for the merchant onboarding platform.
  • Summer 2020
    Research Intern
    Samsung R&D Institute India
    • Built a bi-LSTM VAE to generate melodies/chords for the ringtone UX program.

Open Source & Community Projects

  • 2023 - Present
    BabyLM Challenge + Cognitive Batteries
    • Co-organizer of BabyLM workshops, released staged corpora, evaluation tooling, and dev-leaderboards.
  • 2022 - Present
    Counseling Copilot Suite
    • Open datasets + MI annotation guidelines powering LLM-based counselor practice sandboxes.

Honors and Awards

  • 2023
    • Georgia Tech President's Fellowship
    • Marshall D. Williamson Fellowship (Honors Program)
  • 2022
    • Donald V. Jackson Fellowship (Honors Program)
    • LRN Foundation Student Travel Grant (EMNLP)
  • 2021
    • BITS Pilani Best Paper Award - Information Retrieval

Academic Interests

  • LLM Safety & Control
    • Unlearning, watermarking, continual learning
    • Stress-testing model behavior in applied settings
  • Cognitive Alignment of PLMs
    • Developmentally staged corpora
    • Linking hypotheses between psych signatures and model activations
  • AI for Mental Health Support
    • Counselor copilots and reflective practice
    • Evaluation protocols for therapy documentation

Other Interests

  • Hobbies: Long-form storytelling, running Atlanta’s beltline trails, mentoring undergraduate researchers.