Graduate Student @ Carnegie Mellon University
MS in AI Engineering - Information Security, Class of 2027
Research Assistant @ CMU CyLab
Working on Adversarial Machine Learning + Information Security
Previous Experience:
- π¬ Samsung R&D Bangalore - Built production ML pipeline for notification classification using ONNX Runtime
- βοΈ Ericsson - Developed Python automation tools for 5G infrastructure deployment with Kubernetes and CI/CD
- π Published Researcher - IEEE Conference paper on multi-constraint time series imputation
Current Focus:
- Information Security, Usable Privacy and Security
- Adversarial ML defenses and model robustness
- Security vulnerabilities in ML applications
Seeking: Summer 2026 internships in Security Engineering, ML/AI Engineering
Graduate research on adversarial robustness for text classifiers at CMU CyLab. Evaluating attack vectors and defense mechanisms for SMS scam detection models.
Published at IEEE 2024. Novel framework for handling missing values in sensor data by sequencing 12 imputation algorithms across multiple constraints. Achieved 60% RMSE reduction on production datasets.
All India Rank 7 - Aerothon 2024 National Competition
Autonomous UAV system for disaster zone reconnaissance with real-time computer vision and GPS-denied navigation.
Machine Learning & AI:
Security & Exploitation:
Programming Languages:
Infrastructure & DevOps:
Backend & APIs:
Frontend & Mobile:
Databases:
Data Visualization & Analytics:
Security Expertise:
- Binary Exploitation | Cryptography | Network Security | Penetration Testing
- TLS/Kerberos | X.509 Certificates | AES/RSA/SHA-256 | TCP/IP
Email: nisargagondi@gmail.com
Portfolio: Google Sites (https://sites.google.com/view/nisargagondi/home)
Website: nisargagondi.github.io (https://nisargagondi.github.io/)
