CV

Summary of my education, experience, accolades and others.

Research Areas

  • Deep Learning, Adversarial Machine Learning, and AI/ML Security.

Education

  • 2024-Now
    Ph.D. in Computer Science @ Texas A&M University
    • GPA: 4.0 (4.0 scale).
    • Advisor: Prof. Nitesh Saxena
    • Research: Security of real-world AI/ML systems.
  • 2021-2023
    M.S. in Computer Science @ Texas A&M University-Kingsville
    • GPA: 4.0 (4.0 scale) – Distinction.
    • Advisors: Prof. Habib M. Ammari (Thesis) and Prof. Taesic Kim (Research)
    • Thesis: Achieving Connected k-Coverage in Wireless Sensor Networks Using Computational Geometry-Based Approaches.
    • Research Projects:
      • Development of fault-tolerant and energy-efficient Wireless Sensor Networks (Prof. Habib M. Ammari).
      • Cybersecurity of Distributed Energy Resources and Smart Grid (Prof. Taesic Kim).
  • 2012-2016
    B.Tech. in Mechanical Engineering @ Indian Institute of Technology, Dhanbad
    • GPA: 7.73 (10.0 scale) – First Class.
    • Advisor: Prof. L. A. Kumaraswamidhas.
    • Project: Computer-aided design and simulation of experimental conditions on Automobile components.

Research and Industry Experience

  • 2024-now
    Graduate Assistant - Research @ Texas A&M Engineering Experiment Station
    • Working on Security of AI/ML Models.
  • 2022-2023
    Graduate Research Assistant @ Texas A&M University-Kingsville
    • Developed Blockchain-based security and control platforms for Distributed Energy Resources and Smart Inverters.
    • Developed Quantum-secure IEEE 2030.5 Network for Distributed Energy Resources.
    • Developed protocols for achieving fault-tolerant and energy-efficient coverage in Wireless Sensor Networks, leveraging Sqaure and Irregular Hexagonal Tessellations.
  • 2019-2021
    Senior Software Engineer @ Soroco
    • 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.
  • 2018-2019
    Senior Software Engineer @ Infosys
    • 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.
  • 2016-2018
    Software Engineer @ Infosys
    • 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.

Teaching Experience

  • 2023
    Guest Lecture @ Texas A&M University-Kingsville
    • Topic: Quantum threat to current Cybersecurity.
    • Course: Industrial Control Systems Security
    • Taught in Spring 2023 by Prof. Taesic Kim.
  • 2022
    Graduate Teaching Assistant @ Texas A&M University-Kingsville
    • Course: Massive Parallel Computing
    • Taught in Summer 2022 by Prof. Maleq Khan.
    • Helped with the organization of the class and grading homeworks & exams.
  • 2022
    Graduate Teaching Assistant @ Texas A&M University-Kingsville
    • Course: Foundations of Computer Science
    • Taught in Spring 2022 by Prof. Habib M. Ammari.
    • Helped with the organization of the class and grading homeworks & exams.
    • Evaluated class projects of several groups of students.

Honors and Awards

  • 2024
    • Graduate Research Assistantship from Department of Computer Science & Engineering, Texas A&M University.
  • 2023
    • Distinguished Student Award from College of Graduate Studies, Texas A&M University-Kingsville.
  • 2022
    • 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.
    • TAMUK In-State Scholarship from Department of Electrical Engineering and Computer Science, Texas A&M University-Kingsville.
  • 2021
    • HEERF III Student Scholarship from College of Graduate Studies, Texas A&M University-Kingsville.
    • Computer Science Graduate Scholarship, Rockwell International Scholarship, and TAMUK In-State Scholarship from Department of Electrical Engineering and Computer Science, Texas A&M University-Kingsville.
  • 2018
    • Insta Award at Infosys, Bangalore, India.
  • 2013-2016
    • MCM Scholarship from Indian Institute of Technology, Dhanbad for exceptional academic performance.

Service

  • Reviewer
    • ACM Transactions on Privacy and Security (TOPS) [2024]
    • IEEE Energy Conversion Congress and Exposition (ECCE) [2024]
  • Sub-Reviewer
    • Annual Computer Security Applications Conference (ACSAC) [2024]
    • IEEE International Conference on Distributed Computing Systems (ICDCS) [2024]
  • Student Mentoring
    • Ausmit Mondal (Undergraduate Student, Texas A&M University) [2024]