• Developed a Go-based monitoring system using Prometheus and Grafana, delivering key insights on data consistency.• Crafted comprehensive testing scripts to enhance code reliability and streamline QA processes.• Refined CI workflows, integrating Docker and GitHub Actions to boost deployment efficiency by 33%.• Implemented an ETL application utilizing Kafka and MySQL, achieving real-time data support.• Contributed to multiple repositories under a Monorepo design, improving codebase management and collaboration efficiency.• Deployed services using Kubernetes and Helm, ensuring clear staging and production separation for safe development.

• Developed monitoring metrics for gRPCs and RESTful APIs using Prometheus and Grafana.• Enhanced RESTful APIs with Django and PostgreSQL, one achieving an 85% reduction in data transfer.• Refined and optimized Swagger documentations to improve user experience and comprehension.

• Led and scaled Flask and Gunicorn-based microservices, achieving up to 200+ QPS, ensuring high availability and robustness.• Drastically cut ETL pipeline processing times by 75% through strategic Redis queue optimizations, enhancing data throughput.• Managed high-performance MongoDB setups supporting billion-scale data with replication sets and indexing.• Developed and launched a comprehensive full-stack server, integrating RESTful APIs and no-code interface for rapid prototyping and generating business reports.• Deployed 20+ deep learning models as microservices using Docker and Kubernetes on AWS, streamlining AI-driven solutions.• Migrated 3TB of data from S3 to Glacier, achieving a 60% cost reduction.• Implemented AWS Lambda@Edge with CloudFront, transitioning from EC2 to enhance efficiency and cut costs by an estimated 40%.• Designed an NLP model utilizing Hugging Face technologies and PyTorch, achieving 85% accuracy in identifying key opinion leaders on social media platforms.• Implemented advanced monitoring and profiling with Prometheus and Grafana, significantly improving system performance and operational reliability.

• Contributed to the development of Flask, Gunicorn, and Docker-based microservices on AWS, achieving over 100+ QPS, bolstering system scalability and efficiency.• Developed a Redis-based middleware tool, accelerating machine learning server performance by 20x.• Engineered NLP models leveraging BERT and scikit-learn for in-depth social media content analysis, driving data-informedinsights.• Used Selenium to collect 20GB of data on social media, enriching AI training datasets for advanced business strategies.