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onapte/README.md

Hi there!👋

I'm Onkar Apte! Feel free to reach out to me at onkarapte21@gmail.com.

  • 🔭 I am a Computer Science Graduate Student with a passion for software engineering.
  • 🌱 I have a strong foundation in programming, machine learning, and computer vision. My skills span a variety of technologies, and I enjoy tackling complex challenges through innovative solutions.

Updates

  • Our research paper has been published in Tungsten, and is featured in the latest papers section on their website. (25 October 2024) image

Publications list

[1] 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 (2024). https://doi.org/10.1007/s42864-024-00297-7.
[2] 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.

Github profile statistics

Onkar Apte's GitHub Language Stats

Upcoming Project

WeMatchSports

Technologies: Flask, MongoDB, Docker, Kubernetes, Apache Kafka, Bootstrap
Repository: Private

  • Created a large-scale web application connecting users seeking sports partners through public and private matchmaking requests. The system employs dedicated microservices for secure messaging and user interactions.
  • Implemented user authentication via REST APIs, with media stored in a simple storage service and long-term data, such as user profiles, stored in MongoDB.

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