Owais Bin Mushtaq
Senior Data Scientist & Autonomous Systems Engineer
Owais Bin Mushtaq is a Senior Data Scientist specializing in autonomous systems, deep learning, and AI-driven product development. At Chinar Quantum AI, he leads the design of real-time navigation, control, and recommendation systems while developing scalable AI applications across healthcare, e-commerce, and travel automation.
He brings expertise in MPC-based control, NLP pipelines, large-scale system design, and ML model serving. With a strong mathematics background, he builds robust, efficient, and intelligent ML systems that enhance decision-making and real-world user experience.
Experience
Senior Data ScientistPresent
Chinar Quantum AI
- Designed and simulated control architectures for Autonomous Surface Vehicles using MPC–PID hybrid models.
- Implemented hydrodynamic modeling, state estimation, and trajectory tracking modules.
- Built Two-Tower Recommendation System in PyTorch improving e-commerce engagement by 22%.
- Developed GPT-powered travel automation tools increasing customer engagement by 30% and reducing ops cost by 25%.
- Built healthcare MVP for clinic management with AI assistants reducing workload by 40%.
- Served ML and AI models via FastAPI with low-latency async inference pipelines.
- Created anomaly detection and analytics dashboards improving data-driven monitoring.
Data Science Intern
Chinar Quantum AI
- Built Streamlit apps for accessible data insights.
- Implemented anomaly detection pipelines for operational datasets.
- Created Plotly dashboards for visualization and stakeholder reporting.
Education
M.Sc. Mathematics
Central University of Kashmir
B.Sc. Mathematics
Central University of Kashmir
Projects
AutoML Pipeline with Multi-Agents
Built an end-to-end AutoML system using multi-agent LLM pipelines for preprocessing, model optimization, and deployment using Groq and JSON-driven orchestration.
Two-Tower Recommendation Engine
Developed anime recommendation engine using TensorFlow, Comet ML, GKE, Docker, and FastAPI with DVC-backed versioning.
Chicken Disease Classification
Created a CNN-based poultry disease classifier using TensorFlow and deployed via Flask.
Algebraic Properties of Edge Ideals
Explored connections between edge ideals, graph theory, and simplicial complexes as part of academic research.