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Shashank Tiwari

Assistant Professor

Qualification:
B.Tech,M.Tech

Professional Exp.:

Registration Number:
4617-161115-124220

Email Address:
shashank.tiwari@aceec.ac.in

Mobile Number:
9542601602

About:

A dedicated and motivated Computer Science professional with a strong academic background and hands-on training in emerging technologies such as Artificial Intelligence, Machine Learning, and Web Development. With a Master’s degree in Computer Science & Engineering and multiple certifications in core technical areas like Data Structures, Java Technologies, and Problem Solving, I bring both theoretical knowledge and practical skills to the table. Passionate about continuous learning, problem-solving, and contributing to innovative software solutions in a collaborative environment.

Education Details:

Degree / Qualification Institution University / Board Year of Completion Percentage
M.Tech – Computer Science and Engineering Reva Institute of Technology & Management Visvesvaraya Technological University Oct 2014 78%
B.E. – Computer Science and Engineering STJ Institute of Technology Visvesvaraya Technological University Aug 2010 64%
12th (PUC) JSS PU Science College, Dharwad Pre-University Education, Karnataka Jun 2006 55%

 

Professional Background:

Assistant Professor at ACE Engineering College

Artificial Intelligence & Machine Learning – Algorithms, model optimization, and real-world applications in automation, predictive analytics, and intelligent systems.

  • Successfully completed a Diploma in Artificial Intelligence and Machine Learning from the University of Hyderabad, enhancing understanding of advanced AI/ML concepts and tools.
  • Secured 78% in M.Tech (Computer Science & Engineering) from Visvesvaraya Technological University – among the top performers in the class.
  • Earned certifications in Problem Solving and Data Structures in C and Web Component Development using Java, demonstrating strong foundational and applied skills.
  • Completed multiple hands-on training programs, including faculty-level Data Structures course, boosting both technical and teaching capabilities.
  • Developed mini-projects and academic applications using Java, JSP, Servlets, and MySQL, showcasing practical application of web technologies.
  • Consistently praised by trainers and instructors for dedication and quick learning during training and certification programs.