About

Learn more about me

The All terrain Engineer 👽

Crafting the future, pixel by pixel, one digital masterpiece at a time

Birthday: Still Celebrating 🎉
City: Nürnberg, Germany
Email: zamalbabar9866@gmail.com
Age: Floppy disks to SSDs 🤓

I'm not your typical engineer 🛠️
I studied cars, but I've got a soft spot for all things tech

I like to play around with computer languages, kind of like a digital magician. I use these 'spells' to create cool AI stuff to make our lives a bit more easier 🧙‍♂️

On my journey, I try to make everyday things seem fascinating. Think of me as a playful wizard who uses computer tricks to do cool stuff

I'm always up for trying new things 🚀

So, let's work together and make the digital world more fun, one piece of code at a time.

No need to be too serious -.- it's all about having a good time with technology!

Skills

Machine Learning

Computer Vision

NLP

ROS (Robotic Operating System)

Deep Learning

MLOps and Deployment

Interests

Computer vision

Large Language Models

Machine Learning

Time series forecasting

AI in Mobility

Reinforcement Learning

Generative Adversarial Networks

Industrial Automation

Testimonials

Zamal is a very enthusiastic and professional person, I recommend and will work with him again :)

Justine Braguy

CEO Thya Technology

Zamal's incredible passion, hard work, and collaborative spirit in AI, robotics, and mechatronics shine brightly, making him an exceptional candidate for any endeavor.

Hetendra Singh

Founder Segritech

Zamal has been a student of OU and has consistently demonstrated exceptional academic performance, leadership skills, and a strong work ethic.

Dr Srinivas

Head of Department OU

Resume

Journey so far

Download CV

Experience

FAPS Institute FAU

Research Assistant - Digital Twin Development

Led the development of a comprehensive Digital Twin for a visual servoing system, enabling real-time simulation and monitoring of robotic operations.
Seamlessly integrated Large Language Models (LLMs) with the ROS environment, allowing natural language commands to dynamically interact with the simulated world.
Integrated state-of-the-art sensor data acquisition systems, enhancing the accuracy and responsiveness of the Digital Twin environment.
Implemented and tested advanced control algorithms, ensuring seamless communication between the physical and virtual systems for predictive maintenance and optimization.

MaD Lab FAU

Working Student ML

Development and optimization of advanced Machine Learning algorithms, targeting the nuanced analysis and interpretation of Inertial Measurement Unit (IMU) data for Gait Analysis
Implementation of robust testing frameworks and rigorous test cases, significantly elevating the technical robustness and reliability of our ML deployments
Authored extensive documentation and best practice guides, encapsulating the essence of our ML methodologies and coding standards
Link to GaitMap Open source software to leverage AI in Healthcare

Internships

Segritech

Robotics Engineer

Developed sophisticated Computer Vision algorithms for grading fruits by quality, employing advanced computer vision techniques for precise classification
Leveraged NVIDIA Jetson Nano for deploying robust computer vision applications, optimizing performance for real-time processing
Addressed key challenges in image acquisition and processing under varying lighting conditions, ensuring consistent and accurate fruit classification

Education

Masters in Electromobility - ACES

2023 - Present

FAU Erlangen-Nürnberg

Specializing in AI and Sustainable Mobility, I delve into developing Smarter Machines and advancing Autonomous Systems and Robotics.

Bachelors in Automobile Engineering

2018 - 2022

Osmania University

Subjects:

Engineering Fundamentals: Mechanics, Graphics, and Autotronics
Tech & Design: Programming, Computer Vision, and 3D Modelling
Math & Analysis: Advanced Calculus, Probability, and Statistics
Plus a diverse range of specialized electives and cutting-edge topics in Operations Research etc.

Open Source Contribution

CVZONE

Authored comprehensive documentation for the cvzone library
significantly enhancing usability and accessibility for developers by
providing detailed guides, examples, and best practices for
computer vision applications.

Projects

Augment Img

A No-Code Image Augmentation Platform

An open-source image augmentation toolkit, enhancing datasets with advanced techniques while preserving original dimensions, using Pytorch and a simple GUI
More than 5000 downloads
Link to the package

PDF Summarizer

Long Pdf's to bullet points summary

Advanced NLP PDF Summarizer for smart, user-friendly condensation of lengthy PDFs into bullet-point essentials, showcased for easy access on Hugging Face's Space having over 1000 users
Integrated advanced text processing with spaCy, enabling precise key phrase identification and summarization scalability, ensuring tailored content distillation for diverse user needs

Persona like Never before

Elonless Musk Clone

Developed 'Not So Elon', an innovative AI chatbot that creatively mimics Musk's visionary spirit with a humorous twist, incorporating advanced techniques like custom fine-tuning, few-shot learning and RAG on a vector database for dynamic, engaging dialogues on space exploration, futuristic tech, and everyday musings

Prompt Enhancer

Refine > Engage > Excel

Developed a fine-tuned model using the QLORA (Quantized Low Rank Adaptation) approach for prompt enhancement
Significantly improving the quality of textual prompts by optimizing for clarity, engagement, and effectiveness

SOCIAL MEDIA BOTS

Say Good Bye to Manual Posting

Designed a sophisticated social media bot for Twitter and Instagram
Leveraged LLMs and GAN models for creative content generation.
Automated cross-platform posting and personalized tweets based on trends

Driver Monitoring System

Stay Safe or Get Rated

Developed a model to detect and classify traffic signs, violations and objects in real-time
Implemented a safety rating system for driver behavior analysis

Potholes detection and classification

Spotting before stumble

Pioneered a pothole detection system utilizing the cutting-edge YOLO v7 framework, revolutionizing road safety by identifying and classifying potholes based on severity in real-time
Enhanced road maintenance efficiency with an AI-driven approach, combining YOLO v7's precision in object detection with a novel severity classification algorithm to prioritize repair efforts

That's a bite-syzed taste of the epic tale 📜

Research Work

KFUPM

Oct 2022 - Dec 2023

Saudi Arabia

Contributed to a solar forecasting model utilizing time-series forecasting to predict PV panel output
Demonstrated a strong commitment to collaborative innovation by engaging in remote partnerships with esteemed professors from King Fahd University of Petroleum and Minerals, fostering a cross-disciplinary exchange of knowledge and expertise in renewable energy technologies