Short CV

Education

• M.S. in Computer Science, University of Colorado Boulder, May 2026 (expected)
• B.Tech. in Computer Science and Engineering, Vellore Institute of Technology, July 2024

Internships

• AI Software Engineer
  • Simple Ticket LLC (Palm City, FL, USA)
• Full Stack Engineer
  • Y STEM & Chess Inc. (Boise, ID, USA)
• Research Software Engineer
  • Yuan Ze University (Taoyuan, Taiwan)
• Machine Learning Researcher
  • DRDO (Delhi, India)
• AI Research Assistant
  • Vellore Institute of Technology (Chennai, Tamil Nadu, India)

Publications

Electrochemical sensor for dopamine detection based on multiwalled carbon nanotube/molybdenum disulfide quantum dots with machine learning integration and anti-interference capability

Geethukrishnan, Apte, O. & Tadi, K.K. Electrochemical sensor for dopamine detection based on multiwalled carbon nanotube/molybdenum disulfide quantum dots with machine learning integration and anti-interference capability. Tungsten 7, 137–151 (2025). https://doi.org/10.1007/s42864-024-00297-7

Task scheduling algorithms in fog computing: A comparison and analysis

T. Jagadish, O. Apte and K. Pradeep, "Task Scheduling Algorithms in Fog Computing: A Comparison and Analysis," 2022 International Conference on Automation, Computing and Renewable Systems (ICACRS), Pudukkottai, India, 2022, pp. 483-488, doi: 10.1109/ICACRS55517.2022.10029029.

Teaching

Graduate Teaching Assistant - Statistics and Geographic Data

Graduate Teaching Assistant - General Biology 2 Lab

Undergraduate Teaching Assistant - Structured and Object Oriented Programming