Hamza Abbasi Email & Phone Number

Islamabad, Pk

Islāmābād, Pakistan

● Function owner for multiple self-driving car functionalities for a validation project with Audi GmbH● Expertise in defining software architectures and ADAS (Advanced Driver Assistance Systems) Operational Design Domains (ODDs) engineering● Large scale data handling, labelling, maintaining specifications, model retraining and monitoring performances for automotive clients (Audi GmbH)● Proficient in building pipelines using Docker, Jenkins, Kubernetes and GitHub for efficient development and deployment● Skilled in backend development, leveraging technologies like FastAPI, MongoDB to create robust REST APIs● Experience with Apache Airflow for managing and automating workflows● Strong background in simulation and visualization for self-driving systems● Applied advanced techniques in deep learning for production purposes, specializing in: Segmentation, Detection, Classification, Tracking● Proficient in managing spatial data using Mapbox, Geojson, Geopandas, and OpenDrive (ODR) related geometries● Algorithm development for map-related applications, enhancing spatial data processing● Python data pipelines for 3D perception (computer vision, image odometry, sensor fusion etc)● Integrating raw data (CAN, BUS, ECU, Lidar, Camera)● KPI pipelines development (C++)

Islamabad, Islāmābād, Pakistan

● Contributed to cutting-edge self-driving car technology development with expertise in real-time computer vision systems and ROS● Specialized in pedestrian, key point, and vehicle detection, segmentation, distance estimation, depth sensors, and image stitching● Developed real-time algorithms for object detection and tracking, enhancing self-driving car perception● Collaborated with cross-functional teams to integrate computer vision solutions● Kept abreast of industry advancements, implementing state-of-the-art methodologies

● Conducted a comprehensive comparison analysis, resulting in a detailed report● Implemented a variety of machine learning algorithms, including Logistic Regression, Random Forest, Bagging, Boosting, and SVM, for the precise classification of pneumonia using chest X-ray images● Leveraged deep learning techniques, such as Neural Networks and CNN, to enhance classification accuracy in pneumonia detection● Developing datasets by analyzing blood and tissue samples under electronic microscopes, with a central emphasis on enhancing breast cancer detection capabilities

Islamabad, Pakistan

Teacher Assistant of following Courses:● Embedded Systems● Engineering Management● Digital Logic Design● Operating Systems● Engineering Economics● Thermodynamics● Probability and Random Processes● Electrical Network Analysis● Differential Equations● Physics for Engineers

Islāmābād, Pakistan

In this internship, I was working with 15 talented individuals in the Career Services Office of FAST NUCES. I was responsible for:● Managing Seminars & Workshops● Arranging Annual Job Fair, Annual Alumni Homecoming

During this Internship, I had:● Implemented a vehicle ego localizer framework in C++ to get the vehicle location coordinates using the self-generated map● Learned data scraping and generate a dataset with the statistics of covid19 affectees using different websites● Learned data visualization to visualize the stats of the above-generated dataset using Python (Numpy, Pandas, Plotly, Matplotlib)

Quetta, Baluchistan, Pakistan

During the period of internship, I worked in the Switching & Wireless department of PTCL NMC (National Management Center). I was responsible for:● Assigning new numbers through accessing their MSAGs remotely (TELNET)● Monitoring of wireless sites for outages and abnormal behaviour and report them immediately● Making sure that outages are removed as soon as possible

Bachelor Of Science - Bs, Electrical Engineering, 3.97/4.0

Activities and Societies: Head EE Events - NaSCon'20 | General Secretary - FAST Adventure Society (2019-2020) | Marketing Secretary.

A-Levels

O-Levels