We can organize an interview with Aldin or any of our 25,000 available candidates within 48 hours. How would you like to proceed?
Schedule Interview NowMy name is Ali N. and I have over 13 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Deep Learning, Python, Data Science, Flask, etc.. I hold a degree in Bachelor of Engineering (B.Eng.). Some of the notable projects I’ve worked on include: Food‑Image Similarity Search Platform (Streamlit │ CLIP │ FAISS), Meme Extractor App – AI-Powered Image Filtering for iOS, Logo Detection, Removal, Inpainting for Food Using YOLOv11 and LaMa, Flux.1: DSPy-Powered Prompt Upsampling for Text-to-Image Generation, AI Agent for designing restaurant images based on restaurant content, etc.. I am based in Rawalpindi, Pakistan. I've successfully completed 13 projects while developing at Softaims.
I'm committed to continuous learning, always striving to stay current with the latest industry trends and technical methodologies. My work is driven by a genuine passion for solving complex, real-world challenges through creative and highly effective solutions. Through close collaboration with cross-functional teams, I've consistently helped businesses optimize critical processes, significantly improve user experiences, and build robust, scalable systems designed to last.
My professional philosophy is truly holistic: the goal isn't just to execute a task, but to deeply understand the project's broader business context. I place a high priority on user-centered design, maintaining rigorous quality standards, and directly achieving business goals—ensuring the solutions I build are technically sound and perfectly aligned with the client's vision. This rigorous approach is a hallmark of the development standards at Softaims.
Ultimately, my focus is on delivering measurable impact. I aim to contribute to impactful projects that directly help organizations grow and thrive in today’s highly competitive landscape. I look forward to continuing to drive success for clients as a key professional at Softaims.
Main technologies
13 years
6 Years
1 Year
2 Years
Potentially possible
Careem
Built a Streamlit visual‑search demo: click a dish thumbnail to instantly see the 10 most similar images from a 30 k‑photo set. Uses CLIP ViT‑B/32 (SentenceTransformers) for embeddings and FAISS (IndexIDMap + FlatIP) for cosine retrieval, fed by a NumPy/Pillow pipeline with glob crawling and Requests for URL images. Session‑state UI, responsive 4‑col grid, cached model, on‑disk index for warm starts, auto‑rebuild if missing. Runs on CPU or GPU, fully self‑contained.
Developed an AI-powered Meme Extractor App for iOS using SwiftUI. Trained an EfficientNet-B0 model (99.12% accuracy) for meme detection, converted to Core ML for mobile deployment. The app processes 45K-50K images, supports batch filtering, real-time progress, and custom chunk sizes. Extracted memes are saved in a dedicated "Meme Album" with duplicate detection and one-click delete for storage optimization. Delivers seamless, user-friendly meme organization.
This project automates logo detection, removal, and image restoration for food product images using YOLOv11 for precise logo detection and LaMa for seamless inpainting. It achieves high-quality results, demonstrated by before-and-after visuals, and offers a scalable end-to-end pipeline. Highlights include custom YOLOv11 training, realistic image reconstruction, and expertise in computer vision and AI integration.
This project leverages the DSPy framework to enhance text-to-image generation in Flux.1 through advanced prompt upsampling and optimization. A multi-step DSPy pipeline refines and upsamples prompts, significantly improving image quality and generation success rates. This systematic approach enables more precise alignment between text inputs and visual outputs, boosting performance and expanding creative possibilities for accurate image generation.
Created an agent integrating Midjourney (Discord API) and Flux.1 to generate customized visuals (logos, menus, newsletters) tailored for restaurants.
Bachelor of Engineering (B.Eng.) in Computer engineering
2010-01-10-2015-12-10