Aspiring Software Engineering Practitioner | Systems Programming, Backend Development, Machine Learning, and Computational Optimisation
I focus on developing performance-aware and reliable software solutions across systems programming, algorithmic engineering, and machine learning domains. I enjoy translating computational theory and mathematical reasoning into practical software implementations.
- xv6 Shell – Systems-level Unix-style shell implementation supporting pipelines and process execution
- Concurrent Client-Server Network System – Multi-threaded TCP client-server application in Java with synchronized request handling
- Machine Learning Model – Scikit-Learn pipeline using PCA and regression for 3D biological shape analysis and predictive modeling
- Final Year Project – Lexicographic Genetic algorithm–based university timetabling system in Python with two-phase optimisation for hard constraint satisfaction and soft preference minimisation
- Intelligent Systems & Robotics Project – ROS2 Python node with OpenCV HSV colour detection and Nav2 action client for autonomous waypoint navigation and visual-servoing target approach
Systems Programming | Backend Development | Machine Learning | Algorithm Design | Graph Theory | Operating System Concepts | Combinatorial Optimisation| Robotics & Autonomous Systems | Computer Vision
Languages: C, C++, Python, Java, SQL
Frameworks & Tools: Qt, OpenGL, Git, Linux, ROS2, OpenCV, Nav2, Gazebo
Core Areas: Systems Programming, Algorithms, Machine Learning, Computational Optimisation, Autonomous Robotics, Computer Vision
I am continuously improving my knowledge in:
- Distributed systems and scalable backend architectures
- Advanced machine learning and optimisation techniques
- Secure software system design
- High-performance computing and systems-level programming
- Modern software engineering practices and tooling
- Cloud infrastructure and containerisation (AWS and Docker)
📧 Email: aqeeljindal123@gmail.com
🔗 LinkedIn: https://www.linkedin.com/in/aqeel-jindal/