Data & AI Engineer | Bringing Creativity to Research and Development
Developed a GPS-based beam prediction and tracking deep learning model for UAV mmWave communication, improving beam prediction accuracy through novel data set splitting strategy, GPS data preprocessing, and lightweight model architecture.
Developed an ETL process using Python, SQL, Apache Airflow, and Bigquery, enabling efficient data processing for company stakeholders.
Developed an article recommendation model and an article classifier model aimed at increasing reader engagement.
Deployed machine learning models in Kubernetes, contributing to improved deployment efficiency and system scalability.
Conducted research on GPT, Named Entity Recognition (NER), and topic modelling, identifying opportunities to enhance the article recommendation features.
Enabled comprehensive Twitter and news data analysis for political science researchers, leading to more accurate insights for published studies.
Created visualizations of Twitter and news data using Gephi and Tableau, enhancing reader understanding of key trends.
Developed a new Twitter & News Insight Dashboard using Apache Airflow and Superset, enabling automatic weekly analysis capabilities.
Developed and delivered training materials on Twitter & News Data Analysis, enhancing researchers’ data collection, processing, and visualization skills.
Implemented a gender prediction model based on person names, streamlining demographic analysis in research studies.
Measured and reported tea oxidation room temperature and humidity, confirming compliance with company standards.
Mentored student groups in digital system lab work, guiding them to successfully complete their projects.
Specialized in Deep Learning for Wireless Communication
Specialized in Instumentation Engineering
Deep learning-based beam prediction and tracking assisted global navigation satellite system for unmanned aerial vehicle-capable millimeter wave communications