Alizainul Vaghjipurwala
I am a Mechatronics Engineer
I build intelligent systems at the intersection of AI and Mechanical Engineering. Currently based in Stuttgart, Germany.
About
Hi! My name is Alizainul. I am a Mechatronics Engineer. I am from a small town in India, currently living in Stuttgart, Germany.
I love developing efficient solutions and optimized systems by using my skills in Supervised and Unsupervised Machine Learning, Deep Learning, Computer Vision and Sensor Fusion. I'm driven by curiosity and a desire to create technology that is both intelligent and impactful.
Apart from Engineering, I am a Basketball player (Bezirksliga). I love Quizzing, not just taking part in quizzes but conducting fun Quizzes myself (Nerd alert!). I have also enjoyed volunteering work for many years and always look for such opportunities.
Skills
Core Competencies
Experience Hover over Experience to read details
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Research Engineer (Master Thesis)
Feb 2024 - Aug 2024Hella Forvia
- Developed a high-precision vehicle localization architecture achieving accuracy under 0.5m by implementing UKF-based Sensor Fusion with GPS/GNSS, IMU, and camera data
- Designed a Deep Learning virtual sensor framework to simulate GPS data during signal loss.
- Developed trajectory prediction models using vehicle telemetry and road topology data, enhancing localization robustness.
- Integrated 3D ASAM OpenDRIVE map data to implement lane-level constraints, improving localization accuracy.
- Applied signal processing and ML techniques for sensor data analysis to detect patterns and anomalies in driving behavior.
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Engineering Intern
Aug 2023 - Feb 2024Hella Forvia
- Developed automated map parsing system for converting OpenDRIVE map data into MATLAB structures, enabling rapid prototyping.
- Built road network graphs using data from OpenDRIVE maps.
- Contributed to 3D object detection and tracking systems using state-of-the-art YOLOv8 models.
- Calibrated stereo and monocular cameras using Chessboard images.
- Created simulation integrating OpenDRIVE maps with MATLAB/Simulink.
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Graphic Designer
Apr 2020 - Aug 2021Freelance
- Designed and delivered a wide range of digital assets including logos, social media content, and marketing materials for various clients.
- Managed client communication and project timelines, ensuring timely delivery and client satisfaction.
- Utilized Adobe Creative Suite (Photoshop, Illustrator) to produce high-quality visual designs.
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Graduate Engineer Trainee
Jul 2019 - Oct 2019Sodecia India
- Analyzed inventory and sales data to plan and optimize production schedules, reducing material waste.
- Assisted in process improvement initiatives on the production line, contributing to an increase in efficiency.
- Gained hands-on experience in manufacturing operations and quality control procedures.
Education Hover over Education to read details
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M.Sc. Mechanical Engineering ISE (Mechatronics profile)
Oct 2021 - Aug 2024Universität Duisburg-Essen | GPA - 1.9
- Specialized in Robotics, Automation, Artificial Intelligence, and Control Systems.
- Control Theory, Model Predictive Control, Vision Based Control.
- Machine Learning, Computer Vision, AI and Reinforcement Learning.
- Mathematical Optimization, Kinematics and Dynamics of machines, robots and vehicles.
- Functional Safety, Computer Aided Engineering, Model Based Systems Engineering (MBSE)
- Sensors, Signal Processing, Analog / Digital Filters, Digital / Fast Fourier Transform (DFT/FFT), Kalman Filter, Particle Filter.
Relevant Coursework:
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B.E. Mechanical Engineering
Aug 2015 - May 2019Gujarat Technological University | GPA - 2.0
- Thesis Project: " City Efficient Cars - Redesigning cars for reducing space occupied in the cities while in idle/parked condition".
- Kinematics and Dynamics of Machines, Robots
- Fluid Mechanics, Heat Transfer, Thermodynamics.
- Manufacturing Processes, Materials Science, Engineering Drawings.
- Computer Aided Design (CAD), Computer Aided Manufacturing (CAM).
Relevant Coursework:
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Highschool
Jul 2013 - Mar 2015Calorx Public School
Master Thesis
Ego-vehicle self-localization and trajectory identification using GPS-IMU sensor-fusion, Stereo Cameras and OpenDRIVE maps.
Thesis Grade - 1.1
Thesis Overview (click to expand)
The goal of the thesis was to develop a robust and accurate LOCALIZATION and TRAJECTORY prediction system for an autonomous driving vehicle. To achieve this goal, data from GNSS and IMU sensors was fused together using Unscented Kalman Filter to find the location of the vehicle on Earth. Additionally, 3D ASAM OpenDRIVE maps were used to fin the exact location of the car in a lane on the road.
As shown in the workflow picture below, the system used 2 inputs:
- GNSS and IMU sensor data
- Map data from 3D ASAM OpenDRIVE maps
On one side, the GNSS and IMU sensor data were fused together using UKF and on the other side, the map data was converted into Matlab structure for its quick use.
Key Highlights:
- With the use of Deep Learning Models, combined with Map Data and Vehicle Dynamics and Telemetry Data, the system was able to maintain robust localization and trajectory prediction, even during GNSS signal outages.
- This work shows how, even with less resources and inputs, robust systems can be built for safety critical systems.
Projects
Stable Diffusion from Scratch
A complete PyTorch implementation of Stable Diffusion for text-to-image generation.
LiDAR-Camera Fusion
Sensor fusion pipeline using the KITTI dataset and YOLOv5 for robust 3D object detection.
Video Summarizer AI Agent
A Streamlit app using Gemini AI to summarize and analyze video content from various sources.
Behavioral Cloning
Using Deep Neural Networks to clone human driver behavior for autonomous control.
Advanced Lane Detection
Development of an effective lane detection algorithm for various driving conditions, including sharp curves and high-contrast lighting.
Traffic Signs Classification
A neural network model to classify 42 different classes of traffic signs from the German traffic signs dataset.
A Star Algorithm
A simple Python code demonstrating the A* pathfinding algorithm in a grid, visualized using Pygame.
Boston Housing Price Prediction
A Linear Regression ML Project focusing on deployment using Render/Heroku, Docker, GitHub Actions, Flask, and a simple HTML interface.
MNIST Handwritten Number Detection
Training a Neural Network to classify handwritten digits using the popular MNIST Dataset.
Certifications
The Complete Self Driving Car Course - Applied Deep Learning
UDEMY
AWS Machine Learning Foundations
UDACITY
Deep Learning with MATLAB
Mathworks MATLAB
Reinforcement with MATLAB
Mathworks MATLAB
Computer Vision with MATLAB
Mathworks MATLAB
Volunteering
National Service Scheme (NSS)
Head Coordinator, Social Worker
- Lead a team of 70 volunteers, organizing various events for underprivileged children, focussing on their education and overall development.
- Educating people in rural regions, farmers and dairy workers about the various government schemes.
Share A Book India Assosciation (SABIA)
Volunteer
- Book donation drives to build libraries in Government Schools in rural areas.
Campus Garten, Germany
Sustainability Program Volunteer
- Community gardening at the university campus along with sustainabiliy programs like setting up rain water harvesting, organising clean-up drives and other events and discussions.
Get In Touch
I'm currently open to new opportunities and collaborations. Feel free to reach out—I'd love to chat!
Say Hello