CV
Latest CV of Manish Nagaraj
General Information
| Full Name | Manish Nagaraj |
| mnagara@purdue.edu | |
| Phone | +1-765-701-7970 |
| http://linkedin.com/in/m-nagaraj | |
| GitHub | https://github.com/manishnagaraj |
| Location | West Lafayette, IN, USA |
Education
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2019 - Present PhD in Electrical & Computer Engineering
Purdue University, West Lafayette, IN - GPA - 3.66
- Relevant Areas - Data Efficiency, Privacy-Preserving Machine Learning, Optimization Techniques
- Research Advisor - Prof. Kaushik Roy
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2017 - 2019 MS in Electrical & Computer Engineering
Purdue University, West Lafayette, IN - GPA - 3.72
- Thesis - Energy Efficient Byzantine Agreement Protocols for Cyber-Physical Resilience
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2013 - 2017 Bachelor of Engineering in Electronics and Communications
PES Institute of Technology and Science, Bangalore, India - GPA - 9.77/10.0
Experience
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Summer 2023 Research Intern, Integrated Systems Team
Latent AI, Skillman, NJ - Built data annotation tools for anomaly detection frameworks.
- Designed scalable systems for handling noisy datasets.
- Improved energy and latency metrics for internal ML tools.
Research Projects
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Present Efficient Fine-tuning of LLMs Using Impact-Driven Data Selection
Ph.D. Dissertation, Purdue University - Developed a lightweight, correlation-based data selection pipeline.
- Enables on-device personalization without gradients/Hessians.
- Transfers across model scales (e.g., LLaMA-3 8B - 70B).
- Work in progress.
-
2025 Finding the Muses- Identifying Coresets Through Loss Trajectories
Ph.D. Dissertation, Purdue University - Introduced Loss Trajectory Correlation (LTC) metric.
- SOTA results on CIFAR-100 and ImageNet-1k.
- Manuscript under peer review.
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2023 DOTIE- Energy-Efficient Object Detection Using Event Cameras
Ph.D. Research, Purdue University - Lightweight framework leveraging event-driven camera data.
- Demonstrated at ICRA 2023 and CVPR 2023 Workshops.
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2023 TOFU- Federated Learning with Data and Communication Efficiency
Ph.D. Research, Purdue University - Reduced communication overhead by 10x.
- Published at IEEE Access 2024.
Skills
| Programming Languages and OS | Python, C, Ubuntu |
| Software Development Tools | Docker, GitHub |
| DL Frameworks and Libraries | PyTorch, HuggingFace, OpenCV, numpy, scipy |
Relevant Coursework
- Artificial Intelligence
- Statistical Machine Learning
- Random Processes and Probability
- Linear Algebra
- Computational Models and Algorithms (DSA)
- Distributed Computer Systems
- Computer Networks
References
- Prof. Kaushik Roy, Purdue University, West Lafayette, USA - kaushik@purdue.edu