🎯 Senior Data Scientist | AI/ML Enthusiast | MLOps Expert | Generative AI Explorer
With 9 years of experience in delivering cutting-edge machine learning solutions and leading AI initiatives across various sectors, I am passionate about building AI-driven applications that drive business growth and actionable insights.
- 🤖 Generative AI: Extensive hands-on experience with models like Llama, OpenAI, and working with LLMs to build AI applications.
- ⚙️ MLOps: Expertise in building and managing end-to-end machine learning pipelines with Docker, Kubernetes, CI/CD, and cloud platforms like AWS, GCP, and Snowflake.
- 🧑💻 AI/ML: Strong skills in Deep Learning, NLP, Recommender Systems, and Forecasting. From model development to production deployment.
- 🏗️ Data Engineering: Skilled in building robust, scalable data pipelines with Airflow, MLflow, and PySpark.
- ☁️ Cloud Computing: Working with services like AWS SageMaker, GCP Vertex-AI, and DataProc to create scalable and efficient solutions.
- 💡 Languages: Python, SQL, PySpark, PyTorch, TensorFlow
- 📊 Data Analysis & Visualization: Power BI, Tableau, Exploratory Data Analysis, Statistical Modelling
- 🔥 Machine Learning: Neural Networks, CNNs, Transformers, Clustering, Recommendation Systems
- 🛠️ Tools: Docker, Kubernetes, Airflow, MLflow
- 🌐 Cloud Platforms: AWS, GCP, Snowflake
- 🔄 Version Control: GitHub, GitLab
I’m actively exploring and building solutions around Generative AI and LLMs, integrating them into real-world applications that create meaningful business impact.
I’m continuously learning and pushing the boundaries of AI/ML, focusing on creating seamless MLOps processes for rapid deployment, and exploring new innovations in Generative AI.