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dasa_cypher

Abdullah M.

@dasa_cypher

AI and ML Engineer, YOLO and Computer Vision Expert, Published Researcher

Pakistan
Anglais, Ourdou
Certaines informations sont présentées en anglais.
À propos de moi
AI/ML Engineer, published researcher (Sensors, MDPI), Kaggle Expert, Roboflow Expert. Built YOLO-OcuLite, under review in Nature Comms Medicine, CMPB. Computer Vision: YOLO (v5-v26), object detection, segmentation. Reinforcement Learning: PPO, DQN, SAC, TD3, Stable Baselines3, PyBullet, MuJoCo. Machine Learning: XGBoost, LightGBM, SHAP, time-series forecasting. Annotation: bounding box, polygon, segmentation, CVAT, Roboflow, YOLO/COCO/VOC. Deployed on AWS, Azure, Jetson Nano, Raspberry Pi. 100K+ samples, 30+ projects. Send your dataset or use case, I will tell you what is achievable.... Plus d’infos

Compétences

d
dasa_cypher
Abdullah M.
hors ligne • 
Temps de réponse moyen de 1 heure

Voir mes services

Deep learning
I will build yolo object detection and computer vision ai models in python
Machine learning
I will build machine learning models in python for prediction and classification

Portfolio

Expérience professionnelle

Developers_Research

Founder and AI/ML Engineer

Developers Research • Indépendant

Apr 2026 - Present4 mos

Architected Gigora, an AI SaaS platform integrating machine learning and generative AI for freelancer tools. • Built ML-driven Profile Analyzer and Gig SEO Optimizer using Python and RAG pipelines • Integrated Claude and Gemini APIs via FastAPI, React, and Supabase • Set up CI/CD pipelines with deployment on AWS and Azure

Engineering_Leadership

Research Assistant, AI and Embedded Systems Lab

Engineering Leadership • Temps plein

Feb 2023 - Present3 yrs 6 mos

Contributed to lightweight deep learning and medical AI research, developing clinically validated YOLO diagnostic models. • Designed lightweight YOLO diagnostic models (YOLO-OcuLite, YOLO-CEGNet, YOLO-ASDLite) for real-time clinical deployment • Built an IoT and LightGBM-based system for real-time water quality monitoring across 14 fish species and 10 ponds • Applied Grad-CAM, LIME, and SHAP explainability techniques, validated by clinical experts • Curated and structured research datasets exceeding 100,000 annotated samples • Collaborated internationally with University of Shanghai for Science and Technology (USST)

Freelancer.com

AI Engineer | Computer Vision & YOLO Specialist

Freelancer.com • Freelance

Dec 2021 - Present4 yrs 8 mos

Specializing in YOLO object detection, computer vision, machine learning, and reinforcement learning for real-time diagnostics, industrial inspection, surveillance, and automation. • Built custom YOLOv5/v8/v11 object detection models with high mAP and real-time inference • Built ML models for classification, regression, and forecasting using Scikit-learn, XGBoost, and LightGBM • Developed RL agents (PPO, DQN, SAC) using Stable Baselines3 for robotics and automation tasks • Structured training datasets in YOLO, COCO, and Pascal VOC formats • Optimized models for speed, accuracy, and lightweight deployment