Work Experience

• Designing and developing an AI chatbot using Azure services, integrating advanced retrieval-augmented generation (RAG) techniques, prompt engineering, and fine-tuning of models to enhance chatbot accuracy and response quality.

• Extracting, cleaning, and preprocessing large unstructured datasets using Python, SQL, and multiple chunking methods to optimize AI model training and deployment.

• Analyzing and monitoring data pipelines using SQL, Power BI, Excel Pivot Tables, and Azure DevOps, ensuring smooth data flow, efficiency, and business intelligence reporting.

• Developing interactive dashboards and reports in Power BI to track key performance indicators (KPIs), detect anomalies, and drive data-driven decision-making.

• Developed AI to educate global leaders, researchers, and citizens about politics and ethical AI applications (social for good).

• Extracted, processed, cleaned, and verified large-scale text data from legal and political sources.

• Developed high-quality training datasets and applied state-of-the-art machine learning, deep learning, and generative AI techniques to enhance chatbot performance.

• Conducted rigorous model evaluation, fine-tuning, and prompt engineering to ensure factual accuracy and legal compliance.

• Led the experimental design and implementation of a Digital Twin system using Microsoft Azure platforms, simulating real-time wind turbine behavior for smart city applications.

• Developed a data pipeline with Raspberry Pi sensors, measuring environmental and turbine metrics (e.g., wind speed, direction, and power output) and integrating them via MQTT protocols.

• Deployed Azure Services, including IoT Hub, Digital Twins, Machine Learning, and Event Grid, to enable real-time data insights, predictive analytics, and secure telemetry ingestion and model synchronization from wind turbine sensor data.

• Tackled key challenges in stream processing, data visualization (Stream Analytics), and edge-cloud coordination, contributing to sustainable and scalable DT architecture for urban infrastructure.

• Gathered and organized data from Facebook ad campaigns, collaborating with the Marketing team.

• Produced data visualizations to aid the Finance team in understanding the performance of ad campaigns, helping them make informed decisions.

• Identified underperforming campaigns for potential discontinuation to optimize ad spending and cut costs.