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Computer Science Undergrad navigating an endless roadmap of things I don't know yet.
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Building backend systems using Node.js, Express.js, MongoDB, REST APIs, authentication workflows, and modular software architecture.
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Participated in multiple hackathons, securing 2 wins and several finalist finishes while designing, building, and shipping solutions under tight deadlines.
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Conducting research in Deep Learning and Computer Vision, working on U-Net based retinal image segmentation, optimizer benchmarking, and performance evaluation for medical imaging applications at IIITDMJ.
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Had a brief stint at a SaaS company after my sophomore year, gaining exposure to collaborative development workflows and real-world software delivery processes.
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Exploring the intersection of AI and software engineering by integrating machine learning workflows into practical, user-facing applications.
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Currently expanding my understanding of System Design, DevOps, scalable architectures, and modern software engineering practices.
Status : Learning
Mode : Deep Work
Current Quest : Becoming a better engineer than yesterday
Known Bugs : Thinking one more refactor will fix everything
| Category | Technologies |
|---|---|
| Languages | C++, Python, JavaScript, TypeScript |
| Frontend | HTML, CSS, React, Tailwind CSS,Next |
| Backend | Node.js, Express.js, REST APIs ,Flask,FastAPI |
| Databases | MongoDB, MySQL ,GraphQL |
| Machine Learning | TensorFlow, Scikit-Learn, OpenCV |
| Data & Analysis | NumPy, Pandas, Matplotlib |
| Developer Tools | Git, GitHub, Postman |
| Exploring | Deep Learning,DevOPS |
Always open to interesting conversations, collaborations, and ambitious ideas.
⚡ Tech evolves every day. So do I.
