Ehsam Josefzai

Robotics and innovation focused engineer with a strong software background and hands on experience building autonomous systems. Currently working at a startup developing an autonomous robot for a real world application, with a focus on navigation, machine learning, and sensor integration. Strong foundation in linear algebra, calculus, statistics, and probability, with the ability to learn quickly and work across different technical areas. Comfortable working in small, fast paced teams where practical problem solving, creativity, and adaptability are important.

Robotics & Autonomous Systems | Machine Learning & Data Analysis

Hands-on experience with UR10 industrial robots, focusing on robot programming, kinematics, coordinate systems, and mathematical foundations.

• Programmed UR10 robots for different movements and defined positions using the robot's programming environment.
• Worked with forward/inverse kinematics, joint configurations, coordinate transformations, and the relationship between joint movements and TCP.
• Applied linear algebra, including vectors, matrices, coordinate frames, rotations, transformation matrices, dot products, and cross products.
• Used Denavit-Hartenberg (DH) parameters to model robotic arms and relationships between coordinate frames and joints.
• Developed practical understanding of joint space and Cartesian space and their relationship to robot movement and motion planning.
• Worked with LIDAR-based navigation and explored SLAM (Simultaneous Localization and Mapping) for mapping environments and estimating robot position.
• Studied how LIDAR measurements enable SLAM systems to build maps while estimating the robot's position.
• Worked with Arduino and sensors, including sensor integration and hardware interaction.
• Combined programming, mathematics, sensors, and robotics to understand autonomous systems' perception and movement.

Practical experience with Python-based machine learning workflows, from dataset exploration and preparation to model training, evaluation, and selection.

• Performed Exploratory Data Analysis (EDA) to understand distributions, relationships, patterns, missing values, and potential outliers.
• Performed data preprocessing, including data cleaning, handling missing values, encoding categorical variables, and feature preparation.
• Split datasets into training and testing sets to evaluate model performance on unseen data.
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Machine Learning Projects

Worked on multiple machine learning projects using different datasets and problem types, focusing on classification and practical data analysis.

• Built classification models and explored how different features can be used for predictions.
• Worked with a Spotify dataset to investigate whether musical characteristics could predict or classify music genres.
• Worked with student academic performance datasets, exploring relationships between factors such as parental education and academic results.
• Experimented with datasets containing different conditions and variables to understand how features influence predictions.
• Applied the full ML workflow: EDA, data preprocessing, feature selection, train/test splitting, model training, evaluation, and model comparison.
• Practiced selecting suitable ML algorithms based on the problem type and dataset characteristics.
• Used Python and ML libraries to explore datasets, visualize patterns, train models, and evaluate results.

Autonomous Robotics Project

Currently developing an autonomous robot startup project with a small team, focused on a proof of concept for an autonomous robot designed to solve a real-world problem.

• Developing a proof of concept (PoC) for an autonomous mobile robot.
• Contributing to navigation, sensors, robot programming, and autonomous movement.
• Applying robot kinematics, linear algebra, coordinate systems, and sensor integration.
• Exploring LIDAR-based navigation and SLAM for mapping and localization.
• Working in a small team to develop, test, and improve the system from the early concept stage.
• Combining software, machine learning, robotics, mathematics, and hardware to develop the prototype.

Studentvert, Høgskolen i Østfold (sep 2024)
Jeg jobbet som studentvert under Career Day ved Høgskolen i Østfold, med spesielt ansvar for IT og teknologibedrifter. Jeg hjalp selskapene med plassering og oppsett av standene, fungerte som kontaktperson gjennom hele dagen, og sørget for at de fikk den hjelpen de trengte. Jeg bidro med service, tilgjengelighet og teknisk forståelse gjennom hele arrangementet.

• Playing chess to improve strategic thinking and problem-solving
• Watching TV series and movies
• Playing football
• Exploring new technologies and building personal projects