π Bachelor of Technology (Computer Science & Engineering)
π« Indian Institute of Information Technology (IIIT) Kottayam, India
π India
I am a Computer Science undergraduate focused on Artificial Intelligence, Machine Learning, and Computer Vision, with a strong interest in open-source systems engineering. I am actively preparing for Google Summer of Code (GSoC) by contributing to large, production-grade codebases such as OpenCV and related AI/ML projects.
- Machine Learning & Model Evaluation
- Computer Vision (classical + ML-based methods)
- OpenCV internals (C++ core, Python bindings)
- Performance-oriented systems programming
- Open-source software engineering
- Python for ML workflows and experimentation
- C++ fundamentals for systems-level contributions
- OpenCV build system (CMake, Windows/Linux builds)
- Understanding PythonβC++ bindings and API design
- Debugging and contributing to large codebases
Programming Languages
- Python (primary)
- C++ (working knowledge)
Libraries & Frameworks
- OpenCV
- NumPy
- scikit-learn
Concepts
- Machine learning pipelines
- Feature extraction and preprocessing
- Evaluation metrics and benchmarking
- Software debugging and regression testing
Tools & Platforms
- Git & GitHub (PRs, issues, reviews)
- CMake
- Linux & Windows development environments
- Contribute to OpenCV (computer vision & bindings)
- Fix bugs, improve APIs, and add test coverage
- Participate in community discussions and code reviews
- Build a consistent contribution history prior to GSoC
- Become a strong AI/ML systems engineer
- Gain deep experience in large-scale open-source projects
- Successfully participate in Google Summer of Code
- Bridge the gap between ML research and production systems
- Open-source AI/ML or computer vision projects
- Beginner-to-intermediate OpenCV issues
- Research-oriented ML experimentation
- Competitive programming and algorithmic problem solving
π§ Email: ajeetkartikay96@gmail.com
π GitHub: https://github.com/ajeetkartikay
I am always open to collaboration, technical discussions, and mentorship related to AI/ML and open-source development.