Abeera Abbasi
FAST
· 2024
Email
abeera8801@gmail.com
Phone
03355571781
GitHub
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Year
2024
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Abeera Abbasi 03355571781 Askari 9, Rawalpindi LinkedIn: Education NUCES FAST Electrical Engineering Applied Machine Learning, Computer Engineering, Embedded Systems Beaconhouse Margalla Campus Mathematics, Physics, Chemistry Benchmark School System Mathematics, Physics, Chemistry Projects Final Project: LiDAR-based SLAM for the Creation of Digital Twins (ROS Technology, LiDAR data extraction, Machine Learning) Utilizing LiDAR sensor data for precise mapping and localization algorithms, ensuring accuracy across various environments. Semester Projects: MagicMirror (Raspberry Pi OS, Linux) Orchestrated seamless integration and functionality of diverse modules. Satellite Attitude Using Lead Compensator (PCB Design, Microcontroller and Sensor Integration) Collaborative project using ATMega32 with buzzer systems, Designed and fabricated PC Work Experience Full Stack Web Intern, Emumba Pvt Ltd July 2023 - August 2023 Developed a Budget Tracker Application, Assisted Quality Assurance Department in automating reimbursement processes Teaching Assistant, Electromechanical Systems February 2023 - June 2023 Skills & Tools Professional Skills: Electrical Systems Troubleshooting and Maintenance, Project Management and Leadership Technical Skills: MATLAB, AUTOCAD, Microcontroller Programming Achievements Dean's List of Honor, Fall 2020 Training / Certification HUAWEI ICT Training Activities Campus Ambassador. HUAWEI ICT COMPETITION 2023 Chairperson, IEEE FAST Student Branch Islamabad [2023-2024] Lead Usher Open House and Job Fair EE Department [2023] Interests Innovation, Sustainability abeera8801@gmail.com https://www.linkedin.com/in/abeera-abbasi/ Majors: A Levels ( ) O levels ( )
AI enrichment
Abeera Abbasi is an Electrical Engineering student at NUCES FAST with a focus on applied machine learning and embedded systems. She has gained practical experience through a full-stack web internship and teaching assistantship, alongside academic projects involving LiDAR-based SLAM and microcontroller integration.
Skills (AI)
["Electrical Engineering", "Applied Machine Learning", "Embedded Systems", "LiDAR-based SLAM", "ROS Technology", "Full Stack Web Development", "Microcontroller Programming", "MATLAB", "AutoCAD", "PCB Design", "Project Management", "Linux", "Raspberry Pi"]
Status: ai_done
Provenance
Source file: —Created: 1777723990