t
talhaansari7

Muhammad Talha

@talhaansari7

Customer Satisfaction is my First Priority

Pakistan
Anglais, Ourdou
Certaines informations sont présentées en anglais.
À propos de moi
I’m an AI Engineer and currently pursuing an MS in Artificial Intelligence and Autonomous Systems. I specialize in developing intelligent systems using machine learning, computer vision, and AI agent-based models. I’ve worked on real-world projects involving object detection, image classification, facial recognition, and automation. My skill set includes Python, OpenCV, PyTorch, TensorFlow, NumPy, Scikit-learn, Keras, Power BI, and Tableau. I’m committed to delivering scalable and innovative AI solutions tailored to your needs. Thank You!... Plus d’infos

Compétences

t
talhaansari7
Muhammad Talha
hors ligne • 
Temps de réponse moyen de 1 heure

Voir mes services

Data engineering
I will do python data analysis and machine learning tasks on notebook and colab
De45 $US / projetPlus de détails
Intégrations IA
I will build genai, agentic ai, llm, rag apps, and ml,dl,CV projects
De120 $US / projetPlus de détails

Expérience professionnelle

Machine Learning Engineer

NUST • Temps plein

Jan 2025 - Present • 1 yr 4 mos

I am responsible for designing, developing, and deploying intelligent systems that can learn from data and make predictions or decisions without being explicitly programmed. Also focus on improving model accuracy, handling large datasets, and ensuring models can scale efficiently in production environments. Use programming languages like Python and tools such as TensorFlow, PyTorch, and scikit-learn. Further, collaborate with data analysts, software engineers, and business teams to translate data insights into practical applications.

Computer Vision Engineer

SubSeaScanning • Temps partiel

Jun 2024 - Dec 2025 • 1 yr 6 mos

Conducted comparative analysis of point cloud registration (KISS-ICP, 3DTK, Open3D); 3DTK offered best efficiency for large-scale mapping, while KISS-ICP was 2× faster (handling 6.5° rotation & 10% overlap), validated with CloudCompare. Developing an underwater marker detection system by fine-tuning Detectron2; achieved 90% detection accuracy, extracted marker centers across RGB & grayscale channels (except red), supporting bundle adjustment optimization.