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https://github.com/onapte/onapte

Contains a description of my public github profile.
https://github.com/onapte/onapte

readme-md readme-profile

Last synced: about 2 months ago
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Contains a description of my public github profile.

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README

        

### Hi there!👋

I'm Onkar Apte! I am open to opportunities across various domains, including Software Engineering, Data Analysis, Data Science, Software Development, and Machine Learning. Feel free to reach out to me at `[email protected]`.

- 🔭 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](https://github.com/user-attachments/assets/cf80e102-8257-49e7-ab08-c6923a7e7c79)

## 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
![](https://komarev.com/ghpvc/?username=onapte&color=blueviolet)

[![Onkar Apte's GitHub Language Stats](https://github-readme-stats.vercel.app/api/top-langs/?username=onapte&langs_count=5&hide=jupyter%20notebook,html,scss,css&theme=tokyonight&show_icons=true)]()

## 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.