Talha R.

Machine Learning Engineer | Computer Vision

If you need an ML system that has to work outside a notebook, I can help. I'm a Machine Learning Engineer specializing in Computer Vision, Edge AI, Python, and production AI systems, with 8+ years of experience across Toyota Motor Corporation, NEC Platforms, and AI consulting. My work has covered the full path from raw data and model development to optimization, deployment, hardware integration, monitoring, and production use. I have built systems involving: • Computer Vision and Image Processing using OpenCV, TensorFlow, PyTorch, CNNs, segmentation, object detection, and image classification • Edge AI deployment on Raspberry Pi and NVIDIA Jetson, including TensorFlow Lite, model quantization, and real-time inference • Predictive Maintenance and Time-Series ML for industrial sensor and servo motor data • Data Engineering and ETL using Python, Dask, PyArrow, PostgreSQL, Apache Spark, and AWS • ML model training, evaluation, optimization, and deployment • Industrial automation involving cameras, PLCs, sensors, robotics, and real-time systems • Generative AI and RAG using Llama, LangChain, and OpenAI models Some results from systems I have worked on include: • Reduced data processing time by up to 60% • Reduced time-series storage requirements by more than 90% • Improved manufacturing-line efficiency by 20% • Reduced an anomaly investigation workflow from 8+ hours to under 30 minutes • Automated manual production processes through computer vision and edge AI I am comfortable working on projects where software has to interact with real-world constraints such as inference latency, limited hardware resources, large data volumes, unreliable inputs, and existing production systems. I do not approach every problem by forcing deep learning into it. Depending on the use case, the right solution may be computer vision, classical machine learning, statistical methods, optimization algorithms, or a combination of them. Core technologies: Python, Computer Vision, OpenCV, TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost, Pandas, NumPy, Dask, PyArrow, PostgreSQL, Apache Spark, AWS, MLflow, Raspberry Pi, NVIDIA Jetson, TensorFlow Lite, Power BI, LangChain, RAG If you are working on a Computer Vision, Machine Learning, Edge AI, Predictive Maintenance, or Data Engineering project, send me the problem you are trying to solve, your current setup, and the main constraints. I can help you work out a practical path from idea to production.