Education
Master's in Autonomous Systems and Intelligent Robotics
EIT Digital Master School
August 2024 - Present
Dual-degree program starting at KTH Royal Institute of Technology, Stockholm, Sweden.
Expected to complete the second year at Aalto University, Finland. Specialization in
advanced AI algorithms, robotics systems, sensor data processing, and autonomous system design.
Current Location: Stockholm, Sweden
Key Focus Areas: Python programming, AI algorithms, sensor data processing, system design
Key Projects
Autonomous Robot Manipulation Project
Fall 2024 - DD2410 Introduction to Robotics, KTH
ROS
Python
Particle Filters
SLAM
Motion Planning
Programmed a robot using ROS and Python to autonomously pick and place blocks.
Enhanced the robot's navigation precision in dynamic environments by implementing
particle filter algorithms for localization and mapping. Gained hands-on experience
with robot kinematics, dynamics, path planning, and control systems.
Deep Learning in Data Science
Fall 2024 - DD2424, KTH
PyTorch
TensorFlow
Neural Networks
CNN
Data Science
Comprehensive exploration of deep learning architectures, optimization algorithms,
and regularization techniques. Implemented neural networks from scratch and applied
them to real-world data science problems, covering the complete learning path from
basic perceptrons to complex convolutional neural networks.
AI Algorithm Visualizations
2024 - Personal Project
JavaScript
A* Algorithm
Minimax
Backtracking
Canvas API
Developed interactive web applications demonstrating AI algorithms including A* pathfinding,
Minimax with alpha-beta pruning, cellular automata, and backtracking algorithms.
Features real-time visualizations and educational components to help others understand
complex algorithmic concepts.
Research Interests
AI Exploration: Strong interest in AI-driven technologies with hands-on experience
experimenting with large language models like ChatGPT, Claude, and Grok.
Core Research Areas: Autonomous systems, intelligent robotics, machine learning
algorithm optimization, computer vision, and sensor data processing.
Future Goals: Contributing to the development of intelligent robotic systems
that can seamlessly integrate into human environments and solve complex global challenges
in healthcare, environmental protection, and space exploration.