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Shazim
@shazimjaved
Pakistan
Hindi, Englisch, Urdu
Über mich
I'm Shazim, a Machine Learning and Computer Vision developer specializing in Python-based AI solutions. I build object detection and tracking systems, ANPR and OCR pipelines, face and gesture recognition tools, predictive ML models, RAG applications and AI chatbots.
I work with YOLO, OpenCV, PyTorch, TensorFlow, Scikit-Learn, FastAPI and Flask. I focus on practical solutions, readable code, clear communication and proper setup documentation.
Share your project requirements or sample data, and I'll help you choose a suitable approach
Kompetenzen
Shazim
offline •
Durchschnittliche Antwortzeit: 1 Stunde
Meine Dienstleistungen
Computer Vision
I will build a yolo object detection and tracking system in python
Maschinelles Lernen
I will do data analysis, machine learning and deep learning
Portfolio
Arbeitserfahrung
Senior Data Scientist
Beyond Tech Islamabad • Vollzeit
Jul 2023 - Aug 2025 • 2 yrs 1 mo
Business Impact & Results: Increased model prediction accuracy by 25–40% through advanced feature engineering and hyperparameter tuning. Machine Learning & AI Achievements: Built machine learning models that reduced operational costs by 30% by optimizing automation and forecasting. Developed data-driven insights that improved business decision-making and boosted revenue growth. Designed predictive analytics solutions that improved customer retention and engagement. Built and deployed end-to-end Machine Learning pipelines using Python, TensorFlow, PyTorch, and Scikit-Learn. Developed Computer Vision models for object detection, face recognition, and OCR with high accuracy. Implemented Deep Learning (CNN, RNN, Transformers) for image, NLP, and time-series applications. Optimized model inference speed by reducing latency up to 50% for real-time AI systems. Data Engineering & Analytics: Processed and analyzed large-scale datasets (millions of records) using Pandas, SQL, Spark, and BigQuery. Built automated ETL pipelines to clean, transform, and validate data efficiently. Created interactive dashboards and reports using Power BI, Tableau, and Matplotlib. Improved data quality and reliability by implementing data validation frameworks. Deployment, MLOps & Production: Deployed AI models as APIs and production services using Flask, FastAPI, Docker, and AWS. Implemented MLOps pipelines for model versioning, monitoring, and CI/CD automation. Designed scalable cloud-based AI systems on AWS, Azure, and Google Cloud. Ensured secure and optimized production environments for machine learning solutions. 👨💼 Leadership & Collaboration: Led cross-functional teams of engineers and analysts to deliver high-impact AI projects. Mentored junior data scientists and improved team productivity and skill level. Collaborated with product managers and stakeholders to translate business needs into AI solutions. Presented insights and model results to executives and non-technical stakeholders..
