⚡ Designing and deploying advanced machine learning models for predictive analytics, classification, and anomaly detection.

⚡ Proficient in deep learning frameworks for model optimization and fine-tuning, with a focus on scalable AI solutions.

⚡ Expertise in statistical analysis, A/B testing, and hypothesis-driven data modeling for business insights.

⚡ Hands-on experience with modern AI architectures like Transformers, LLMs, and Generative AI models.

⚡ Designing robust, fault-tolerant data pipelines and architectures for large-scale data processing.

⚡ Expertise in ETL workflows, data warehousing, and big data ecosystem management.

⚡ Implementing real-time data streaming solutions and optimizing batch processing for performance.

⚡ Hands-on experience with distributed computing frameworks and orchestration tools.

⚡ Building dynamic, scalable front-end applications using React and Redux.

⚡ Developing RESTful APIs and microservices with Node.js, Express, and Python frameworks like Django and Flask.

⚡ Integrating cloud-based services and databases for seamless full-stack development.

⚡ Implementing secure authentication and authorization mechanisms in modern web applications.

⚡ Deploying and managing cloud-native applications across AWS, GCP, and Azure.

⚡ Automating CI/CD pipelines and infrastructure management using Infrastructure as Code (IaC) tools.

⚡ Expertise in containerization with Docker and orchestration using Kubernetes for scalable deployments.

⚡ Integrating cloud services for data engineering workflows and machine learning model deployments.