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## Hi👋 I am Rajul
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### aka (@rajuljha)
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### Backend Developer | Open Source Enthusiast
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I am a passionate software engineer from India. I'm currently studying Computer Engineering at Aligarh Muslim
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University. My love for technology and innovation drives me to constantly learn and create.
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I am a passionate backend developer from India. I'm currently studying Computer Engineering at Aligarh Muslim University. My love for technology and innovation drives me to constantly learn and create, especially in the realm of open source software.
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I have 1+ years of experience in Backend Development (Django, Spring Boot mostly), I have been a part of
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Google Summer of Code '24 and '25 [@FOSSology](https://github.com/fossology/fossology). I have interned at a silicon valley based startup [@Support Vectors AI Labs](https://supportvectors.ai) and a hyderabad startup called NextDNA Edutech where I worked on [CuriousAtoms](https://www.curiousatoms.com)
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### Current Endeavors
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Checkout my [Blog](https://rajuljha.github.io/posts) page to for my experiences during GSoC or just read me writing my opinion on tech.
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-**GSoC '24 with FOSSology:** I'm thrilled to have been selected for Google Summer of Code 2024 with FOSSology. My project focuses on integrating FOSSology scanners into CI pipelines, enhancing the software compliance process. Checkout my project [here](https://summerofcode.withgoogle.com/programs/2024/projects/by86kI7T)
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You can connect with me on [LinkedIn](https://www.linkedin.com/in/rajuljha), or via [Email](mailto:[email protected])
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### Interests and Activities
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-**Backend Development:** Backend development is my forte. I enjoy building robust and scalable systems that solve real-world problems. My core tech stack is Python. Nowadays, I am learning Go because of it's fast nature and built in concurrency.
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-**Open Source Software:** I actively create and contribute to open source projects. I believe in the power of collaborative development and the freedom it brings to software creation.
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-**Hackathons and Conferences:** I love participating in hackathons and attending conferences and talks about programming and software. Recently, I attended PyDelhi, which was an incredible experience.
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-**Community Building:** I co-founded an open source community at my college called **ZHCET Code Oasis**. Our mission is to foster a culture of open source contribution and collaboration among students.
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-**Backend:** Backend development is my forte. I enjoy building robust and scalable systems that solve real-world problems. My core tech stack is Python, Django, PostgreSQL. Recently, I have delved into Java and Spring Boot and have built some cool [projects](https://rajuljha.github.io/projects) around it!
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-**Open Source:** I actively create and contribute to open source projects. I believe in the power of collaborative development and the freedom it brings to software creation. I actively contribute to [fossology](https://github.com/fossology) and like to make and break open source tech in my day to day life.
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-**Conferences:** I love participating in hackathons and attending conferences and talks about programming and software. Recently, I have gotten the opportunity to present my work at [PyCon India '25](https://cfp.in.pycon.org/2025/talk/ZCLJ7U/). I am keen to make it impactful. I have attended numerous conferences in the past including PyDelhi and OOSC IITK.
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-**Community Building:** I co-founded an open source community at my college called **[ZHCET Code Oasis](https://zhcet-code-oasis.vercel.app)**. Our mission is to foster a culture of open source contribution and collaboration among students.
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### Projects
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Feel free to check out my projects on [GitHub](https://github.com/rajuljha).
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Feel free to check out my projects on [GitHub](https://github.com/rajuljha) or on the #projects page.
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Thank you for visiting my page! If you share similar interests or have exciting projects to discuss, don't hesitate to connect with me.
| Work on Atarashi Classifier Model | Yes | ✅ (partially) |
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## Known drawbacks
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- Although atarashi has been included into FOSSology but it still has seen cases of false positives, on which, current work is being done in order to reduce the false positives in the classifier model.
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