Led end-to-end development of an innovative RAG Chatbot using LangChain, AWS Bedrock, Kendra, and Streamlit, integrating Claude 3.5 Sonnet for enhanced health and safety document retrieval, significantly improving operational efficiency.Architected and implemented a comprehensive MLOps framework, automating the entire model lifecycle for mining site risk prediction. This resulted in substantially automated model re-training, improved model accuracy and reduced manual intervention… Show more Led end-to-end development of an innovative RAG Chatbot using LangChain, AWS Bedrock, Kendra, and Streamlit, integrating Claude 3.5 Sonnet for enhanced health and safety document retrieval, significantly improving operational efficiency.Architected and implemented a comprehensive MLOps framework, automating the entire model lifecycle for mining site risk prediction. This resulted in substantially automated model re-training, improved model accuracy and reduced manual intervention, elevating risk management capabilities.Spearheaded the development of a near real-time data pipeline and dashboard system for mining operations, leveraging AWS services (S3, Glue, Lambda, SageMaker) to streamline requirements tracking and deliver interactive visualizations of critical operational metrics.Pioneered a Dust Detection Monitoring System using CNN-based computer vision, automating dust level monitoring at mining sites and enhancing environmental safety measures.Orchestrated data discovery and quality management across diverse source systems and AWS Data Lake, employing Athena SQL queries, Glue-defined schemas, and Lambda functions for automated checks and metadata tagging.Designed large-scale ETL architecture for data integration with S3 and Glue, creating comprehensive solution blueprints and technical documentation in Confluence to facilitate cross-team collaboration.Collaborated on implementing Snowflake data models for mining operations, developing complex SQL queries and stored procedures to enforce data quality and perform advanced analytics on geological and operational data.Devised an innovative algorithm for proactive daily safety level assessment at mining sites, leveraging historical data to identify risks before incidents occur, markedly improving workplace safety standards. Show less

1. Enhanced medical imaging capabilities by developing neural network algorithms for optical flow, image segmentation, object detection, and image super-resolution, improving the accuracy and efficiency of analyzing CT images, cell plant photos, and MRI images.2. Advanced genomic research by implementing and transforming BERT models for DNA sequence classification, providing more precise and reliable classification results for genomic data.3. Delivered actionable insights… Show more 1. Enhanced medical imaging capabilities by developing neural network algorithms for optical flow, image segmentation, object detection, and image super-resolution, improving the accuracy and efficiency of analyzing CT images, cell plant photos, and MRI images.2. Advanced genomic research by implementing and transforming BERT models for DNA sequence classification, providing more precise and reliable classification results for genomic data.3. Delivered actionable insights through advanced statistical analyses on large datasets using R and Python, helping to identify key trends and drive data-driven decision-making on medical field.4. Improved data management and integrity by managing a SQL database and performing ETL processes with data pipelines using Python and R, ensuring seamless data integration and consistency.5. Streamlined data processing and reporting by creating robust data pipelines for data wrangling, visualization, and report generation, enhancing data accessibility and utility for stakeholders.6. Increased prediction accuracy by developing various supervised machine learning models such as Random Forest, SVM, Mixed Effect Model, and SPLS Discriminant Analysis for classification and regression tasks, leading to better forecasting and resource allocation.7.Uncovered hidden patterns and insights by performing unsupervised machine learning tasks such as K-means clustering and hierarchical clustering, contributing to deeper understanding and strategic planning. Show less