Available to hire
Hi, I’m Ayush Minocha, a senior AI/ML engineer focused on building scalable NLP, computer vision, and MLOps solutions. I enjoy leading cross-functional teams to ship production-grade AI systems that enable real-time inference, edge deployment, and data-driven decision-making.
Beyond delivering results, I strive to translate research into business impact while upholding ethical, explainable AI practices. I am passionate about adopting cutting-edge methods like RAG, quantization, and reinforcement learning and turning them into practical, measurable improvements while collaborating with privacy and governance teams.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Language
English
Fluent
Work Experience
Senior AI/ML Engineering Manager II at Apple
December 1, 2022 - PresentDirected full-lifecycle AI development across computer vision, NLP, and predictive analytics. Led teams building deep learning models for real-time object detection and image segmentation used in Apple’s hardware and health applications. Designed reinforcement learning agents for simulation-based optimization in logistics and system tuning. Integrated models with edge devices using model compression techniques (quantization and pruning). Established automated MLOps pipelines using Kubeflow, MLflow, and CI/CD for model retraining, monitoring, and deployment. Developed cross-platform APIs for scalable and secure model access.
AI / Machine Learning Engineer at Apple
December 1, 2022 - October 22, 2025Built and deployed ML models for predictive analytics, personalization, computer vision, and speech processing. Applied classical ML techniques (XGBoost, SVM, Random Forest) for anomaly detection and user behavior prediction. Trained deep CNNs and Vision Transformers for visual search and facial recognition across iOS and macOS platforms. Developed RL-based models for adaptive UI/UX personalization and dynamic content optimization. Created dashboards and monitoring tools to track model drift and performance. Collaborated with privacy and security teams to align AI initiatives with Apple’s data governance policies.
Senior Data Scientist & Machine Learning at Glassdoor
July 1, 2017 - October 22, 2025Built recommendation systems to match users with jobs, companies, and reviews using matrix factorization and hybrid ML models. Developed computer vision models for logo detection and automated company media moderation. Implemented time-series models for traffic prediction and content engagement forecasting. Led sentiment and entity analysis efforts across millions of user-submitted reviews, powering employer insights tools. Utilized clustering and unsupervised learning to categorize job titles and skill sets for more accurate search indexing. Deployed models into production with Docker and REST APIs, and validated performance via A/B testing.
Teaching Assistant at IIIT Hyderabad
April 1, 2014 - October 22, 2025Assisted in projects on multi-modal learning, reinforcement learning, and early computer vision research. Designed experiments for agent training in simulated environments using Q-learning and DDPG. Supported academic instruction in ML foundations and implemented course materials for supervised learning and probabilistic models. Preprocessed large datasets and evaluated experimental ML algorithms using Python, NumPy, and Scikit-learn.
Data Science Intern at Graymatics, Inc
July 1, 2013 - October 22, 2025Contributed to early-stage video classification and object tracking pipelines using OpenCV and SVMs. Optimized content tagging for multimedia streams in surveillance and media intelligence applications. Helped deploy visual inference pipelines on embedded systems with strict latency constraints. Worked with engineers on feature extraction and dimensionality reduction for video stream clustering.
Senior AI/Machine Learning Engineering Manager II at Apple
December 1, 2022 - November 6, 2025Directed full-lifecycle AI development across computer vision, NLP, and predictive analytics projects. Led teams building deep learning models for real-time object detection and image segmentation used in Apple’s hardware and health applications. Designed reinforcement learning agents for simulation-based optimization problems in logistics and system tuning. Integrated models with edge devices using model compression techniques such as quantization and pruning to meet latency and memory constraints. Established automated MLOps pipelines using Kubeflow, MLflow, and CI/CD for model retraining, monitoring, and deployment. Developed cross-platform APIs for AI integration into consumer applications, ensuring scalable and secure model access.
AI / Machine Learning Engineer at Apple
December 1, 2022 - December 1, 2022Built and deployed ML models for predictive analytics, personalization, computer vision, and speech processing. Applied classical ML techniques (XGBoost, SVMs, Random Forest) for anomaly detection and user behavior prediction. Trained deep CNNs and ViTs for visual search and facial recognition across iOS and macOS platforms. Developed RL-based models for adaptive UI / UX personalization and dynamic content optimization. Created dashboards and monitoring tools to track model drift and performance degradation. Collaborated with privacy and security teams to align AI initiatives with Apple’s data governance policies.
Senior Data Scientist & Machine Learning at Glassdoor
July 1, 2017 - July 1, 2017Built recommendation systems to match users with jobs, companies, and reviews using matrix factorization and hybrid ML models. Developed computer vision models for logo detection and automated company media moderation. Implemented time-series models for traffic prediction and content engagement forecasting. Led sentiment and entity analysis efforts across millions of user-submitted reviews, powering employer insights tools. Utilized clustering and unsupervised learning to categorize job titles and skill sets for more accurate search indexing. Deployed models into production with Docker and REST APIs, and validated performance via A/B testing.
Teaching Assistant at IIIT Hyderabad
April 1, 2014 - April 1, 2014Assisted in projects on multi-modal learning, reinforcement learning, and early computer vision research. Designed experiments for agent training in simulated environments using Q-learning and DDPG. Supported academic instruction in ML foundations and implemented course materials for supervised learning and probabilistic models. Preprocessed large datasets and evaluated experimental ML algorithms using Python, NumPy, and Scikit-learn.
Data Science Intern at Graymatics, Inc
July 1, 2013 - July 1, 2013Contributed to early-stage video classification and object tracking pipelines using OpenCV and SVMs. Optimized content tagging for multimedia streams in surveillance and media intelligence applications. Helped deploy visual inference pipelines on embedded systems with strict latency constraints. Worked with engineers on feature extraction and dimensionality reduction for video stream clustering.
Education
Master's in Computer Science at University of California, Los Angeles (UCLA)
January 11, 2030 - January 1, 2016Bachelor of Technology in Computer Science at International Institute of Information Technology Hyderabad (IIIT Hyderabad)
January 11, 2030 - January 1, 2014Master’s in Computer Science at University of California, Los Angeles (UCLA)
January 11, 2030 - January 1, 2016Bachelor of Technology in Computer Science at International Institute of Information Technology Hyderabad (IIITH)
January 11, 2030 - January 1, 2014Qualifications
Industry Experience
Software & Internet, Media & Entertainment, Healthcare, Life Sciences, Professional Services, Computers & Electronics
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Hire a AI Engineer
We have the best ai engineer experts on Twine. Hire a ai engineer in Oakland today.