About Me
Hi there, I'm Anil Kumar. I'm a passionate and detail-oriented Computer Science student with a strong foundation in software engineering and artificial intelligence. I thrive on building high-performance applications and contributing to collaborative development environments.
My Journey
Education: B.Tech in Computer Science, National Institute of Technology, Kurukshetra (Graduating June 2026)
Relevant Coursework: Java, Python, C, JavaScript, DBMS, Software Engineering, Artificial Intelligence, Data Structures and Algorithms, Operating Systems, Distributed Systems
Experience
Front-end Developer @ LinkD (Feb 2024 - Apr 2024)
- Built UI for an AI-generated content platform using React and GPT-4 APIs, reducing post creation time by 30%.
- Contributed to component development, bug fixes, and UI polish under direct mentorship of the founder.
- Gained exposure to startup product cycles and fast-paced, collaborative development.
Projects
- Pcom-Go - Engineered a high-performance parser combinator library in Go (10+ GitHub stars). Architected checkpoint/rollback for complex parsing, improved nested parser performance 3x, and added color-coded error messages with full backtracking.
- Open-Source Contribution - Contributed to Sourcegraph and Zoekt by fixing a bug in the query parser's handling of nested parentheses, collaborating with maintainers and supporting a simpler, effective solution.
- AI vs Human Audio Recognizer - Developed a classifier using Python, PyTorch, and Librosa to distinguish real vs AI-generated audio. Achieved 99.7% accuracy using MEL Spectrograms, AlexNet/MobileNet/ResNet, early stopping, and 5-fold cross-validation.
Skills
Languages
- Java
- Golang
- Rust
- Python
- C/C++
- SQL
- JavaScript
- HTML/CSS
- Bash
Frameworks & Libraries
- Next.JS
- React.JS
- Node.js
- TensorFlow
- PyTorch
- pandas
- NumPy
- Matplotlib
Databases
- PostgreSQL
- MySQL
- MongoDB
Developer Tools
- Git
- VS Code
- Visual Studio
- PyCharm
- IntelliJ
- Eclipse