As an experienced Machine Learning Engineer, I specialize in turning cutting-edge AI research into real-world applications that solve complex business challenges. From computer vision to natural language processing (NLP), and generative AI, my work bridges the gap between academic advancements and industry use cases.
I focus on developing and deploying AI-driven solutions with a strong emphasis on scalability, efficiency, and real-world impact. Here’s an overview of my expertise:
- Computer Vision: Leveraging advanced frameworks like TensorFlow, PyTorch, and OpenCV to build state-of-the-art image recognition, object detection, and visual SLAM applications.
- Deep Learning & NLP: Working with cutting-edge models such as BERT, GPT, and transformers to create powerful language models for a variety of applications.
- Generative AI: Using GANs and other generative models to create realistic data and optimize problem-solving processes.
- MLOps: Implementing robust machine learning pipelines and deploying AI solutions using Docker, Kubernetes, and cloud platforms such as AWS, Google Cloud, and Azure.
- Data Engineering: Designing scalable data workflows with tools like Apache Kafka, Apache Spark, and PostgreSQL to ensure efficient data handling and actionable insights.
I am highly proficient in a wide range of tools and technologies to drive AI and ML projects from research to deployment:
- AI/ML Frameworks: TensorFlow, PyTorch, Keras
- Cloud Platforms: AWS, Google Cloud, Azure
- Containerization/Orchestration: Docker, Kubernetes
- Data Engineering: Apache Kafka, Apache Spark, PostgreSQL
- Generative AI: GANs, VAEs
- Model Deployment: Flask, FastAPI, TensorFlow Serving
I’ve contributed to various industries, delivering AI solutions that drive meaningful change in real-world applications, including:
- Healthcare: AI models for diagnostics, medical image analysis, and personalized treatment plans.
- Autonomous Systems: Vision systems for robotics, drones, and autonomous vehicles.
- AI Solutions for Business: Applying machine learning to optimize workflows, predict outcomes, and streamline operations across various sectors.
I’m constantly learning and exploring new AI techniques to stay at the forefront of technology. Currently, I’m diving deeper into federated learning, reinforcement learning, and AI ethics to ensure that the solutions I develop are both innovative and responsible.
I’m always open to discussing new ideas, collaborations, or innovative projects. Feel free to check out my work here on GitHub and reach out if you’d like to connect or explore potential opportunities.
Thanks for visiting! 🌟