About Me

Experienced in leveraging data analytics and machine learning techniques to enhance system performance, with a strong focus on anomaly detection in the telecom industry. Adept at extracting actionable insights from complex datasets and streamlining processes for improved efficiency.

Skilled in both machine learning and deep learning, with hands-on experience in building end-to-end AI solutions — from data preprocessing to model deployment. Proficient in Python and R, and experienced with big data technologies like Apache Spark, as well as distributed systems such as Apache Cassandra, PostgreSQL, and HDFS for scalable data storage and processing.

Recently exploring generative AI, AI agents, and reinforcement learning techniques (e.g., GRPO, PPO) to develop adaptive, intelligent systems. Not only focused on practical applications, but also deeply curious about the theoretical underpinnings and committed to experimenting with novel solution approaches.

Focused on strengthening my cloud technology skills and developing end-to-end AIOps capabilities, from building efficient ETL pipelines to deploying and monitoring AI systems in production environments. Passionate about continuous learning and delivering scalable, innovative AI-driven solutions that create real-world impact.