I specialize in crafting data-driven solutions that deliver tangible business impact. With a foundation in machine learning, cloud technologies, and data engineering, I excel at building scalable and efficient AI systems. My expertise lies in:- Architecting and developing robust AI solutions aligned with business objectives.- Leveraging cloud platforms (AWS, GCP, Azure) for optimal performance and cost-efficiency.- Mastering data engineering to extract, transform, and load data for model training.- Implementing MLOps for efficient model deployment and management.- Creating impactful visualizations to communicate insights effectively.I thrive in collaborative environments, delivering projects on time and within budget. My focus on cost optimization and measurable results ensures maximum ROI for clients.Let's build the future of AI together.

As an AI Intern, I played a pivotal role in developing a data-driven solution to optimize solar power plant operations. Leveraging skills in data extraction, pipeline engineering, and statistical analysis, I successfully integrated data from multiple SCADA servers utilizing OPC UA and opcda protocols.My responsibilities encompassed:Data Engineering: Architecting and implementing robust data pipelines to efficiently extract, transform, and load (ETL) time-series data from various SCADA systems onto the AWS cloud.Data Analysis: Conducting in-depth statistical analysis on energy generation, storage, and consumption patterns to identify trends, anomalies, and optimization opportunities.System Design: Designing and developing a scalable data ingestion and processing architecture using the Elastic Stack (ELK) to store and visualize large volumes of time-series data.Dashboard Development: Building interactive KPI dashboards to provide actionable insights into plant performance, enabling data-driven decision-making for plant optimization and expansion.Through this project, I contributed to the development of a platform that empowered the client to make informed decisions for scaling their solar power operations, ultimately leading to increased efficiency and profitability.

My web development internship provided hands-on experience in building dynamic web applications using Ajax and jQuery. A key project involved fetching and displaying real-time COVID-19 data for India, including region-specific statistics and infection rates, from a public API. While the project is no longer live, this experience significantly enhanced my skills in data handling, API integration, and creating informative user interfaces.