CV

Doctor of Philosophy (PhD) in Computer Science

• GPA: 4.0 (4.0 scale)
• Advisor: Dr. Nitesh Saxena
• Research Topic:
  • Security of Emerging AI/ML Systems of Language Models (SLMs and LLMs)

Master of Science (MS) in Computer Science

• GPA: 4.0 (4.0 scale) – Distinction
• Advisor:
  • Dr. Habib M. Ammari (Thesis)
  • Dr. Taesic Kim
• Research Topic:
  • Development of fault-tolerant and energy-efficient Wireless Sensor Networks (WSNs)
  • Cybersecurity of Distributed Energy Resources (DERs) and Smart Grid
• Thesis: Achieving Connected k-Coverage in Wireless Sensor Networks Using Computational Geometry-Based Approaches

Bachelor of Technology (BTech) in Mechanical Engineering

• GPA: 7.73 (10.0 scale) – First Class
• Advisor: Prof. L. A. Kumaraswamidhas
• Project: Computer-aided Design and Simulation of Automotive Components under Experimental Conditions

Graduate Assistant - Research

• Demonstrated quantization risks and vulnerabilities in on-device SLMs
• Developed practical on-device deployable guardrails for securing SLMs against quantization vulnerabilities
• Developed novel Black-box Jailbreaking Attack on safety aligned LLMs, that exploits Bitstream Camouflage vulnerability

Graduate Research Assistant

• Developed Blockchain-based security and control platforms for DERs and Smart Inverters
• Developed Quantum-secure IEEE 2030.5 Network for DERs
• Developed protocols for achieving fault-tolerant and energy-efficient coverage in WSNs, leveraging Square and Irregular Hexagonal Tessellations

Senior Software Engineer

• Coordinated 5+ teams of engineers on projects for development of Python-based Automation Systems and its components, achieving over 90% project success rate
• Improved efficiency by 15-20% for Automation System of Fortune 200 insurance company, that currently saves 960 full-time equivalents (FTE) per month and $325,000 of annual operational cost
• Engineered Automation Systemsfor Fortune 500 pharmaceutical company, where one saves 10,000+ FTEs of repetitive work and another one saves 5,000+ FTEs of manual repetitive activities and $120,000 of operational cost
• Enhanced Automation Systems for utilizing AWS services like RDS and Secrets, for achieving 100% data storage and management to cloud

Senior Software Engineer

• Mentored 2 teams of engineers on projects for Windows computer software, accessed by 6,000+ client employees for business case processing and achieved over 95% of project expectations
• Integrated legacy Windows-based computer software with Web-based REST API using C#, saving over 70% time of document generation
• Facilitated the transition of over 90% databases by leveraging database design and planning principles

Software Engineer

• Developed various Windows computer software, accessed by 6,000+ employees for over 85% of business case processing
• Programmed various features as additions to legacy computer software, saving 2 FTEs per business case and $20,000 of operational cost

Guest Lecture

• Topic: Quantum threat to current Cybersecurity
• Course: Industrial Control Systems Security
• Taught in Spring 2023 by Dr. Taesic Kim

Graduate Teaching Assistant

• Course: Massive Parallel Computing
• Taught in Summer 2022 by Dr. Maleq Khan
• Helped with the organization of the class and grading homeworks & exams

Graduate Teaching Assistant

• Course: Foundations of Computer Science
• Taught in Spring 2022 by Dr. Habib M. Ammari
• Helped with the organization of the class and grading homeworks & exams
• Evaluated class projects of several groups of students

• Graduate Research Assistantship from Department of Computer Science & Engineering, Texas A&M University

• Distinguished Student Award from College of Graduate Studies, Texas A&M University–Kingsville

• Dean’s Merit Scholarship from College of Engineering, Texas A&M University–Kingsville for exceptional academic performance
• Graduate Research Assistant Scholarship from CPPES Lab, Department of Electrical Engineering and Computer Science, Texas A&M University–Kingsville

• Graduate Assistant Scholarship from Department of Electrical Engineering and Computer Science, Texas A&M University–Kingsville

• HEERF III Student Scholarship from College of Graduate Studies, Texas A&M University–Kingsville
• Computer Science Graduate Scholarship and Rockwell International Scholarship from Department of Electrical Engineering and Computer Science, Texas A&M University–Kingsville

• Insta Award at Infosys, Bangalore, India

• MCM Scholarship from Indian Institute of Technology, Dhanbad for exceptional academic performance

• “Safeguarding Both Mobile AI and User: Seamless and Lightweight On-Device Guardrails for Small Language Models against Quantization Vulnerabilities”, Texas A&M Global Cyber Research Institute Annual Summit (GCRI), College Station, TX, September 2025
• “Trust and Ethics Gap in On-Device Quantized Language Models: Risks and Vulnerabilities”, Texas A&M Initiative for Connected Intelligence (TICI), College Station, TX, March 2025

• “Broken and Exploitable On-Device AI: A Comparative Trust and Ethics Assessment of Small Language Models”, Texas A&M Global Cyber Research Institute Annual Summit (GCRI), College Station, TX, September 2024

• “Can Geometry Solve Complex Computer Science Problems?”, Texas A&M Graduate Science and Engineering Research Colloquium (GSERQ) Series, Kingsville, TX, USA, February 2023

• “Potential Quantum Computing Attacks on Distributed Energy Resources and Post-Quantum Cryptography grade IEEE 2030.5”, SunSpec Alliance Annual Meeting (Virtual), Las Vegas, NV, December 2022

• [ChosunBiz] “LG Uplus ixi-O leak undermines on-device AI security claims”, December 2025