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Ph.D. in Electrical and Computer Systems Engineering

• {"GPA"=>"3.91/4.0"}
• Focus on Trustworthy AI, Privacy in Machine Learning, Federated Learning
• {"Advisor"=>"Dr. Alex Gittens"}
• Multiple first-author publications in top-tier conferences
• Research internships at IBM Research and Lawrence Livermore National Laboratory

B.S. in Electrical Engineering

• {"GPA"=>"3.62/4.0"}
• Strong foundation in mathematics, signal processing, and computer science

AI Research Extern - Trustworthy AI

• {"Mentors"=>"Pin-Yu Chen, Ching-Yun Ko, Keerthiram Murugesan, Payel Das"}
• Developed parameter-efficient LLM safety alignment methods
• Investigated association leakage vulnerabilities in Large Language Models

Data Science Intern

• {"Mentors"=>"Bhavya Kailkhura, James Diffenderfer"}
• Developed evasion attacks for weather prediction models
• Published work accepted at AAAI 2025 workshop

AI Research Extern - Trustworthy AI

• {"Mentors"=>"Pin-Yu Chen, Keerthiram Murugesan, Payel Das"}
• Research on data leakage in residual neural networks
• Work accepted at SATML 2025 conference

AI Research Extern - Trustworthy AI

• {"Mentor"=>"Pin-Yu Chen"}
• Developed Reprogrammable-FL approach for federated learning
• Work accepted at SATML 2023 conference

Research Assistant

• Developed Simulink model in MATLAB comparing 2x2 Alamouti vs DSTBC performance with BPSK/QPSK under Rayleigh fading
• Implemented and tested models on USRP N2310 and USRP X310 for over-the-air performance in indoor environments
• Achieved very low bit error rates (BER) through optimized signal processing techniques
• Developed Digital Auto Encoders to overcome DSTBC performance limitations compared to STBC
• Research focused on advanced wireless communication systems and space-time block coding

Assistant Manager (Wireless Operations)

• Configured and maintained wireless network elements including microwave links, BSC, and NMS servers
• Extracted and analyzed alarm reports from BSC and MSC systems for improved network performance
• Optimized wireless network operations and troubleshooted connectivity issues
• Enhanced system reliability and operational efficiency across telecommunication infrastructure
• Managed technical teams and coordinated maintenance activities

Project Engineer (E/I Engineering Intern)

• Supervised technical operations in petroleum terminal engineering projects
• Managed electrical and instrumentation (E/I) systems for terminal operations
• Coordinated project implementation and technical oversight
• Applied engineering principles to optimize terminal efficiency and safety protocols
• Gained hands-on experience in industrial automation and control systems

Research Intern

• Developed multi-camera tracking and mapping systems for UAV applications in canal environments
• Implemented computer vision algorithms for autonomous navigation and environmental mapping
• Worked on drone-based surveillance and monitoring systems for waterway infrastructure
• Applied robotics and automation principles to real-world environmental challenges
• Gained experience in UAV control systems and sensor integration

• Founders Award of Excellence (Top 1% Graduate Students at RPI)
• 2nd Place at 3 Minute Thesis Competition

• Belsky Award for Computational Science and Engineering (Top 6 Graduate Students)

• PhD Qualification Exam (Rank Top-5)