I’m an AI Engineer, Data Scientist, and Data Engineer passionate about building intelligent data and Voice AI systems that solve real-world problems across industries. Currently, I’m working at the Multimodal AI Lab (MAIL), where I focus on Voice AI research and development advancing technologies in speech recognition (ASR), text-to-speech (TTS), and speaker recognition and separation. My work explores how machines can better understand, process, and respond to human speech across languages and contexts. My expertise spans data pipeline architecture, ETL automation, and machine learning system design, with a strong foundation in both AI model development and data infrastructure. I’m proficient in tools and frameworks such as Python, Apache Airflow, Spark, Kafka, SQL, Java, TensorFlow, PyTorch, Power BI, ETL (Talend), and Natural Language Processing. I also work extensively with FastAPI, Flask, Streamlit, Heroku, AWS Beanstalk, EC2, EMR, RDS, and Redshift, and have experience across relational (PostgreSQL, SQL Server) and NoSQL databases.
Whether you are navigating the complexities of data management, seeking insightful analytics, or implementing robust data-driven strategies, I'm here to help you achieve your goals.
Empower your business with cutting-edge Business Intelligence (BI) and Artificial Intelligence (AI) solutions. Through advanced analytics and machine learning, I guide you in unlocking the full potential of your data to gain a competitive edge.
Optimize your data infrastructure with comprehensive Data Engineering solutions. From building scalable pipelines to implementing robust data architectures, I ensure your data flows seamlessly and efficiently.
Navigate the complexities of geospatial and climate smart solutions. Provide tailored strategies to leverage spatial data, enabling informed decision-making in diverse fields.
Whether migrating to the cloud or optimizing existing cloud infrastructure, I ensure seamless integration and enhanced operational efficiency for your business.
Empower your team with Google Earth Engine (GEE) training. From remote sensing to environmental monitoring, the training equips professionals with the skills needed for impactful analysis and decision-making.
Insights, tutorials, and best practices from the world of data engineering and AI
