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Mr. Gollapalli Parwateeswar

Assistant Professor

Qualification:
B.Tech(IT),.M.Tech(Information Security)

Professional Exp.:
1 year(IT)+4 Years (academics)

Registration Number:
8056-220416-130520

Email Address:
parwateeswar.g@aceec.ac.in

Mobile Number:
9963985997

About

Parwateeswar Gollapalli is a Software Engineer and Subject Matter Expert with industry and academic experience in Computer Science. He has worked on Network Drivers, Automation Testing, and AI-based systems while also teaching GATE Computer Science subjects including Artificial Intelligence, Compiler Design, Data Structures, and Algorithms. His expertise bridges software development, QA analysis, and academia, with strong contributions in both industry and education.

Educational Details

  • M.Tech (Information Security), Hyderabad Central University – 2018-2020 (CGPA 9.65/10, Gold Medalist)
  • B.Tech (Information Technology), JNTU (K) – UCEV – 2014-2018 (75%)
  • Intermediate (MPC), Sri Chaitanya – 2012-2014 (96.4%)
  • SSC, APRS Addateegala – 2012 (9.8/10 GPA)

Professional Background

  • Software Engineer, One Convergence, Hyderabad – Nov 2021 to Present
  • Subject Matter Expert & Placement Trainer, Asst professor Ace Academy / Ace Engineering College – N0v 2021 to Now

Subjects Taught:

  • OperatingSystems
  • DataBaseManagementSystems
  • ComputerNetworks
  • TheoryofComputation
  • ComputerOrganization
  • DesignandAnalysisofAlgorithms.
  • ArtificialIntelligence
  • Network Programming

Core Research Domains:

  • Information Security
  • Artificial Intelligence and Machine Learning

Research Focus:

  • Computer Networks and Network Security

Journals and Conferences:

  • “Metro GO: An AI-Based Ticketless Metro Entry System Using Face Recognition”, IJRPR, Vol.6 Issue 6, 2025. DOI: https://doi.org/10.55248/gengpi.6.0625.2324 Article: https://ijrpr.com/uploads/V6ISSUE6/IJRPR49157.pdf Certificate: https://ijrpr.com/certificate/download.php?paper_id=34180
  • “AirNav”, IJRPR, Vol.6 Issue 6, 2025. DOI: https://doi.org/10.55248/gengpi.6.0625.2351 Article: https://ijrpr.com/uploads/V6ISSUE6/IJRPR49189.pdf Certificate: https://ijrpr.com/certificate/download.php?paper_id=34212
  • “AI-Powered Interview Analysis System”, IJRPR, Vol.6 Issue 6, 2025. DOI: https://doi.org/10.55248/gengpi.6.0625.2332 Article: https://ijrpr.com/uploads/V6ISSUE6/IJRPR49149.pdf Certificate: https://ijrpr.com/certificate/download.php?paper_id=34172
  • Speed sense: Smart traffic analysis with deep learning and machine learning
    Authors: Parwateeswar Gollapalli, Neha Muthyala, Prashanth Godugu, Nikitha Didikadi, and Pavan Kumar Ankem
    Journal:World Journal of Advanced Research and Reviews (2024), Volume 21, Issue 03, pp. 2240–2247 DOI:10.30574/wjarr.2024.21.3.0896
  • Predicting Autism Spectrum Disorder Through Machine Learning
    World Journal of Advanced Research and Reviews, 2025
    DOI: 10.30574/wjarr.2025.25.2.0380
  • QA Automation (RPA) – Developed automation scripts for regression cycles.
  • Mellanox NIC Drivers (Juniper OS) – Developer & QA Analyst.
  • Zero Knowledge Proof in Secure E-Voting – M.Tech Dissertation Project.
  • Phishing Website Detection using ML (SVM, Decision Tree) – B.Tech Final Year Project.
  • M.Tech Academic Topper, Gold Medalist – Hyderabad Central University (2018-20)
  • UGC NET-JRF Qualified with 99.37 percentile (Lectureship + JRF)
  • GATE (CSE) Qualified in 2018, 2019, 2020, 2022, 2024 – Best: 98.2 percentile
  • Cleared ISRO ICRB test (2019)
  • Cleared HAL Written Test (2021)
  • Cleared BHEL Written Test for Engineering Trainee (2023)

 FDPs & Workshops Attended:

  • Contributed in Ace Engineering College workshops for C++, DS
  • Faculty development training programmes