Senior Full-Stack AI Engineer at Devspark Labs (2025-09 – Present)
Senior Full-Stack AI Engineer working across multiple AI domains
- Worked in Multiple AI Domains such as Computer Vision, NLP and LLMs.
- Developed a complete system for AI-Assisted Laser removal procedure, this system is responsible for guiding the user on how each patient's tattoo must be treated and which lasers should be used in each session until the tattoo is completely removed.
- An AI-based formula generator that takes queries from the user and generates a complete equation and excel format formula that is responsible for performing calculations on the relevant data from the database. This system was deployed in HR-based SaaS application.
- AI Image Editor for real Estate. LoRA training and diffusion-based models.
- Web Scrappers for government tenders scrapping and social media sites.
Computer Vision Engineer at XIS.AI (2025-03 – 2025-09)
Designed and optimized deep learning models for computer vision tasks
- Designed, trained, and optimized deep learning models for computer vision tasks: Defect detection, object detection, segmentation, tracking, autoencoders, OCR.
- Built inference pipelines and deployed ML models in PyQT desktop applications.
- Improved model efficiency through quantization & optimization, reducing inference latency by 50%. Achieving 60 FPS on Realtime inference systems.
AI Engineer at Haachi Technologies (2024-08 – 2025-02)
Developed ADAS pipeline for Android applications
- Developed a complete ADAS (Advanced Driver-Assistance System) pipeline for Android applications.
- Implemented deep learning–based techniques for lane detection, obstacle recognition, and driver safety alerts.
- Optimized accuracy and real-time inference performance for deployment.
Research Assistant at University of Management and Technology (UMT) (2023-08 – 2024-07)
Conducted research on Brain Tumor Segmentation
- Conducted research on Brain Tumor Segmentation (BRATS-21 dataset) using 3D U-Net.
- Proposed a lightweight 2D CGNet model, achieving competitive segmentation with reduced complexity.
- Collaborated with faculty on research publication and medical imaging applications.
Junior - Android Developer at TXLabz (2023-06 – 2023-12)
Contributed to messaging app development
- Contributed to a messaging app by developing new features and resolving bugs.
- Enhanced app stability and usability through debugging & performance optimization.
Teaching Assistant at UMT (2023-02 – 2023-07)
Teaching support for computer science courses
- Supported teaching in Machine Learning, Computer Vision, Cloud Computing.
- Mentored undergraduates on deep learning research projects.
