Hassan Rasheed
MSc. Data Engineering and Analytics at TUM
Data, ML, Software, Cloud
Bio
I am a student at the Technical University of Munich, currently pursuing a master's degree in Data Engineering and Analytics focusing on machine learning, system design, cloud, and database systems. I also work at peopleIX, a company that is building the most intuitive people analytics platform.
I am interested in data, machine learning, mobile and web apps, cloud technologies, and basically everything tech. In my free time, I play sports, do photography, travel, and read. I am also a member of TUM.ai, a student initiative with the goal to connect students and all relevant stakeholders to facilitate the application of AI across domains and drive positive social impact through interdisciplinary projects.
Experience
Cloud Software Engineer (Part-Time)
Working in the Mapping and Perception Team
Main task is development and testing of Cloud Processing solution from NavVis
Working with C#, Python, Docker, Robot Framework, Selenium in MacOS
Oct 2022 - Present
Research Assistant (Part-Time)
Worked in the Dependable Perception and Imaging team to add safety to Hierarchical Reinforcement Learning models.
Got a conference paper accepted at IEEE ICMLA Conference 2022
Worked with Python, PyTorch, TensorFlow, OpenAI Gym, MuJoCo, Docker, and GitLab in Linux (Ubuntu)
Feb 2022 - Sep 2022
Data Scientist (Part-Time)
Delivered a project requiring migration of SAS code to R
Worked on a PySpark stress testing project
Worked with Python, R, and SAS in Windows
Dec 2021 - Jan 2022
AI Engineer (Freelance)
Worked on optimisation of multi-agent network environments such as cell coverage and end-to-end throughput using RL
2 works led to publications in an IEEE Conference and a Journal
Worked with MATLAB and Python in Scientific Linux
Mar 2021 - Nov 2021
ML Engineer (Full-Time)
Worked using ML/DL to catch phishing on the internet
Worked with YOLOv5, OpenCV, Tesseract-OCR, and Image Hashes
Added models that improved detection of the product by ~5%
Improved code structure to reduce testing time from 15s per image to 3s per image
Worked with Python, Bash, AWK, Keras, TensorFlow, OpenCV, and MongoDB in Ubuntu
Oct 2020 - Aug 2021
Software Engineer (Full-Time)
Worked on the front-end of Campus On Cloud product.
Developed web app and mobile app of a campus management system
Worked with JavaScript, TypeScript, Angular, AngularJS, Ionic Framework, Kendo UI, SQL in Windows
Jun 2019 - Oct 2020
Education
M.Sc Data Engineering and Analytics
Semester 1 - Techniques in AI
Semester 2 - Intro to Deep Learning, Event Processing, German Language (A1)
Semester 3 - Foundations of Data Engineering, Cloud-based Data Processing, Distributed Systems, Master Seminar - Beyond Deep Learning, Robotics Intelligence Lab Course
Oct 2021 - Present
B.S Computer Science
Data Structures, Algorithms, Database Systems, Compilers
Calculus, Probability and Statistics, Linear Algebra
AI, Computer Vision
Thesis - Vehicle Make and Model Recognition using Machine Learning
Sep 2015 - Jun 2019
GCE Advanced Level
Recipient of Full Academic Scholarship
Mathematics, Physics, Chemistry, and Applied ICT
Sep 2013 - Aug 2015