CV

Download Full Resume (PDF)

Education

Bachelor of Science in Computer Science
New York University Abu Dhabi (Expected Graduation: May 2025)

• Minors: Applied Mathematics, Engineering, Interactive Media
• Advanced Coursework:
  • Deep Learning and LLM‑based Generative AI Systems (NYU Courant, Grad Level)
  • Processing Big Data for Analytics Applications (NYU Courant)
  • Computer Security and Cryptography (NYU Courant)
  • Applied Machine Learning (NYU Abu Dhabi)
  • Introduction to Machine Learning (NYU Tandon)

CBSE Higher Secondary (AISSCE)
Sharjah Indian School (April 2019 - March 2021)

• Ranked 3rd school-wide, topped Engineering Graphics and Chemistry

Work Experience

Research Assistant, Cyber Security and Privacy (CSP) Lab
NYU Abu Dhabi (Capstone Research) - Prof Christina Pöpper
(February 2024 – Present)

Research Assistant, Data Intelligence and Computation in Engineering (DICE) Lab
Tandon School of Engineering, NYU - Prof Chinmay Hedge
(July 2024 – Jan 2025)

Software Engineer Intern
Letsrise Academy, Abu Dhabi
(May 2024 – August 2024)

AI Peer Mentor, Design Lab
NYU Abu Dhabi
(May 2024 – June 2024)

Research Assistant, E-Brain Lab
NYU Abu Dhabi - Prof Muhammad Shafique
(March 2024 – May 2024)

Research Assistant - IoT Environmental Station
Mubadala Arabian Center for Climate and Environmental Sciences (ACCESS) Lab - Prof Francesco Paparella
(February 2023 – May 2024)

Leadership & Service

Volunteer, 12th Annual International Hackathon For Social Good, NYU Abu Dhabi
(May 2024 – June 2024)

Events Board Member, Undergraduate Student Government, NYU Abu Dhabi
(February 2023 – May 2024)

Communications Officer, Melting Pot
(September 2022 - June 2023)

Resources Core Team Member, weSTEM (Women Empowered in STEM)
(March 2022 - December 2022)

Sustainability Committee Member, Undergraduate Student Government, NYU Abu Dhabi
(February 2022 - June 2022)

Skills

Programming Languages: Python(3yrs), C/C++(3yrs), JavaScript(2yrs), MATLAB(1yrs), GoLang(1yrs), Java(1yrs)
Machine Learning: PyTorch, TensorFlow, Hugging Face, LoRA Fine-Tuning, Synthetic Dataset Creation
Big Data: Apache Hadoop, Spark, HiveQL, Presto
Web Development: Flask, Node.js, Express.js, PostgreSQL, MySQL, MongoDB, Firebase
Hardware: Raspberry Pi, Arduino, 3D Printing, ROS Noetic
Languages: English (Proficient), Hindi (Proficient), Malayalam (Native), Arabic (Intermediate)

Publications

JailFact-Bench: A Comprehensive Analysis of Jailbreak Attacks vs. Hallucinations in LLMs

Sanjana Nambiar, Christina Pöpper. (2025). "JailFact-Bench: A Comprehensive Analysis of Jailbreak Attacks vs. Hallucinations in LLMs." SiMLA 2025 Workshop, co-located with ACNS 2025. To appear in Springer LNCS.

Synthetic Fine-Tuning as a Defense Mechanism in Large Language Model PII Attacks

Sanjana Nambiar, Chinmay Hegde, Niv Cohen. (2024). "Synthetic Fine-Tuning as a Defense Mechanism in Large Language Model PII Attacks." NeurIPS 2024 LLM Privacy Competition.

Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking

Benjamin Feuer, Micah Goldblum, Teresa Datta, Sanjana Nambiar, Raz Besaleli, Samuel Dooley, Max Cembalest, John P. Dickerson. (2025). "Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking." International Conference on Learning Representations (ICLR) 2025.