Sahreen Haider
Tech Lead at Center of Innovation
Sahreen Haider is a Machine Learning Engineer and Technical Lead specializing in Generative AI, computer vision, NLP, and autonomy systems. At Chinar Quantum AI, she leads the development of AI-driven autonomy architectures for maritime vessels while also designing scalable AI and recommendation systems for business and industrial applications.
Her expertise spans world models, sensor fusion, control systems, LLM pipelines, and end-to-end ML product development. She combines strong engineering leadership with hands-on model development, driving innovation in next-generation AI systems.
Experience
Tech Lead / Lead ML EngineerPresent
Chinar Quantum AI
- Leads design and development of AI systems for autonomous maritime vessels.
- Builds core autonomy architectures including perception, decision-making, and control systems.
- Designs world-model and representation-learning pipelines for predictive autonomy.
- Develops scalable solutions across Generative AI, NLP, and recommendation systems.
- Creates Two-Tower recommendation architectures for high-performance retrieval systems.
- Collaborates with cross-functional teams to align maritime AI systems with operational needs.
- Provides technical leadership, architectural decision-making, and mentoring across engineering teams.
Machine Learning Engineer
Web Kraft
- Developed Generative AI assistants with multilingual capabilities and domain-level reasoning.
- Integrated AI systems into platforms including Telegram, Discord, and WhatsApp.
- Built computer-vision-based structural inspection systems for detecting architectural defects.
- Designed MLOps pipelines for training, versioning, deployment, and monitoring in production.
Jr. Data Scientist Intern
Zummit Info Labs
- Worked on data preprocessing, optimization, and pipeline automation for ML workflows.
- Led prostate cancer detection research using MRI datasets with augmentation and hyperparameter tuning.
- Improved overall model accuracy and operational efficiency through systematic experimentation.
Data Science Intern
The Sparks Foundation
- Developed ML models for real-world industry problems using supervised and unsupervised learning.
- Analyzed data, built predictive models, and supported deployment pipelines.
Education
Bachelor of Engineering in Computer Science
Baba Ghulam Shah Badshah University
Projects
Maritime Autonomy AI System
Designed end-to-end autonomy stack for an unmanned maritime vessel including computer vision, sensor fusion, navigation logic, and control systems.
Generative AI Assistant
Developed multilingual AI assistants with product-level understanding and advanced response logic, deployed across social platforms.
Structural Inspection CV System
Built a computer-vision defect detection and structural risk-analysis system for architectural inspections.
Two-Tower Recommendation Engine
Implemented large-scale embedding-based retrieval systems for personalized recommendations.
Prostate Cancer Detection (MRI)
Developed a medical-imaging ML pipeline using augmentation, preprocessing, and tuned deep-learning architectures.