Development of LLM in Databricks

With extensive expertise in the Databricks platform, I have successfully utilized its robust capabilities to design and deliver high-performance solutions across a range of projects. My proficiency spans end-to-end data pipelines, machine learning integration, and advanced analytics, showcasing my ability to leverage Databricks for real-world applications.

Data Engineering:

1. Developed and managed scalable ETL pipelines using Databricks, enabling seamless ingestion, transformation, and storage of large datasets.
2. Utilized Delta Lake for efficient data storage and real-time updates, ensuring data reliability and consistency.
3. Implemented data partitioning, caching, and optimization techniques for enhanced query performance.

Machine Learning and AI:

1. Built and deployed machine learning models within Databricks, leveraging frameworks like PyTorch, TensorFlow, and Scikit-learn.
2. Integrated Databricks with MLflow to automate experiment tracking, model evaluation, and deployment.
3. Designed custom recommendation systems and predictive analytics pipelines tailored to client needs.

Collaboration and Automation:

1. Enabled cross-functional collaboration by implementing Databricks Workspaces for seamless teamwork.

2. Leveraged Databricks Jobs and Workflows to automate complex tasks, minimizing manual intervention and improving efficiency.

3. Integrated Databricks with cloud platforms like AWS, Azure, and GCP for seamless resource scaling and cost optimization.

Visualization and Insights:

1. Created interactive dashboards and visualizations by integrating Databricks with Power BI and Tableau, delivering actionable insights to stakeholders.
2. Empowered decision-making through advanced analytics and real-time data reporting.

Delivered Projects:

1. AI-Powered Document Processing Pipeline:

   • Built a pipeline to process and analyze 20,000+ PDFs and documents, loading data into Delta tables for structured querying and advanced analytics.
   • Set up a vector database for LLM integration, enabling efficient semantic search and knowledge retrieval.
2. Predictive Maintenance Solution:
   • Designed a predictive maintenance system for industrial equipment using Databricks ML tools.
   • Delivered real-time failure predictions, reducing downtime and saving significant operational costs.
3. Healthcare Analytics Platform:
   • Built a scalable analytics solution to process large volumes of healthcare data for a client.
   • Integrated with machine learning models to prioritize critical cases, improving healthcare outcomes.
4. Big Data Migration and Transformation:
   • Successfully migrated on-premises data systems to Databricks, implementing cost-effective and highly scalable cloud-based solutions.
   • Transformed disparate datasets into cohesive, high-value assets for business intelligence.

My hands-on experience with Databricks, combined with my ability to deliver scalable, efficient, and cost-effective solutions, has consistently driven value for clients across diverse industries.