It's Good to see someone new Here ;)
Hi, I’m Saad, a dedicated AI Engineer with a strong focus on Genrative AI. Proficient in Python, I specialize in developing and fine-tuning advanced Image and Text Generation models, including some of the widely used ones like Diffusion models, VAE, LLM, GANs and Transformers. My expertise also spans Machine Learning, Neural Networks, Computer Vision, and NLP. Additionally, I bring experience in 3D modeling and game design, leveraging creativity and technical skills to push the boundaries of AI innovation, particularly in generative technologies.
Dedicated On Creating AI Technologies That Address Complex Challenges and Deliver Real-World Impact.
I'm very flexible with time-zone
I am a Consistent and Dedicated Individual
Also my commitment to quality is unwavering
Machine Learning Enthusiast Committed to Growth, Innovation, and Learning from the Best Minds in AI.
The Inside Scoop
I Am Currently Seeking Opportunities To Advance My Career And Contribute To Innovative Projects
Want to contact me? Well let's get in touch!
A small selection of notable projects


Image Generation & Translation Model
Developed an advanced image generation model named D.r.e.a.m, capable of producing high-quality images from text prompts for various applications.


Virtual Try-On Clothing Generator
It allows the users to visualize clothing items on Themselves. Using text to convey their clothing idea to create realistic clothing simulations. Implemented user-friendly features for seamless interaction and personalization.


Fit Bot: AI Personal Trainer Chatbot
Created an interactive chatbot designed to function as a personal fitness trainer, providing users with customized workout plans, tracking progress, and offering fitness advice.


RAG Using HuggingFace Embedding and OpenSource Models
Retrieval-Augmented Generation (RAG) system leveraging Hugging Face embeddings for effective document retrieval and question answering. It utilizes ChromaDB as a vector database to store and query document embeddings. The project integrates a language model to generate answers based on retrieved data, ensuring contextually accurate responses. The implementation highlights RAG's ability to enhance knowledge-driven AI applications.


Image Scraping ToolKit
Developed an efficient tool for scraping and collecting large datasets of images from the web, facilitating the creation of comprehensive datasets for AI and machine learning projects.


Mid-journey Images/Prompts (Dataset)
Created a diverse dataset containing images and their corresponding prompts, ideal for training and fine-tuning generative models and exploring prompt engineering techniques.


Marine Life (Dataset):
Curated a dataset featuring images of diverse marine life, aimed at supporting research in marine biology, conservation, and AI-driven image classification


Fine-tuned and Trained Personal AI Chatbot
Personal AI Chatbot Using Large Language Models (LLMs), including the development and fine-tuning of a model named ADAM, enhancing its accuracy and efficiency for natural language processing tasks and enabling seamless interaction with users.
Some of My Work Experiences
I’ve been a freelancer for 2 years, starting as a game designer and later transitioning into AI and ML. Initially, I created customized 3D models for UE4 games, achieving a 5-star rating and 95% client retention on Fiverr. As I shifted focus, I honed my skills in machine learning, deep learning, and data analysis, working on projects involving model training and data preprocessing. I’ve built a strong AI portfolio, blending my creative and technical expertise. This shift has fueled my passion for applying AI to solve real-world problems.
Freelancer (Game Designer & AI Engineer)Jan 2022 - PresentI worked as an ML Intern for 3 months at GlobSkills, where I enhanced my Python skills and expanded my knowledge in areas like Data Structures, Algorithms, Web Development (Gradio, Streamlit), Data Analysis (NumPy, Pandas, Matplotlib), and Machine Learning (Scikit-learn, TensorFlow, OpenCV). I developed scalable code, collaborated on project design and deployment, and worked with databases (e.g., MySQL) to manage data storage solutions.
Machine Learning Engineer InternFeb 2022 - May 2023
My Achievements
Some of The FAQ's
What are my strengths?
My strengths lie in my strong work ethic, quick learning ability, and high motivation. I’m a dedicated hard worker who is always eager to take on new challenges and continuously improve my skills. I’m highly committed to delivering my best in every project I undertake, ensuring that I contribute meaningfully and achieve the highest quality results.
What are my weaknesses?
One of my weaknesses is that I tend to overthink things, sometimes to the point where it can make decision-making or completing tasks more challenging. While I’m always focused on ensuring the best outcome, I’m actively working on overcoming this by practicing more efficient decision-making strategies and learning to trust my instincts to move forward with confidence.
What do I like to do in AI?
I am skilled in fine-tuning and training different AI models, which I’ve been doing for a while now and truly enjoy. I’ve worked on various traditional AI models like Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), K-Nearest Neighbors (KNN), Support Vector Machines (SVM), and Random Forests. Additionally, I have extensive experience working with generative AI models, mainly image genration models and text genration models. I love experimenting with new techniques and continuously improving model performance to solve complex problems.