Jun Nie Email & Phone Number

Netherlands

Hoofddorp, North Holland, Netherlands

- Lead an automation project that automated 10+ daily operational processes, which could save up to 90% time and reduce human error to minimum, developed in Python, deployed and maintained on AWS by using GitLab for version control, GitLab CI for CI/CD pipelines, Docker for containerization, and Terraform for IaC;- Deployed a RAG based LLM chatbot using AWS Bedrock for Question & Answer for internal users, in which knowledge base was created on operations handbooks, GUI was built using… Show more - Lead an automation project that automated 10+ daily operational processes, which could save up to 90% time and reduce human error to minimum, developed in Python, deployed and maintained on AWS by using GitLab for version control, GitLab CI for CI/CD pipelines, Docker for containerization, and Terraform for IaC;- Deployed a RAG based LLM chatbot using AWS Bedrock for Question & Answer for internal users, in which knowledge base was created on operations handbooks, GUI was built using Streamlit, and APIs were developed using FastAPI to be integrated with Slack, now working on deploying an external customers-facing chatbot;- Productionized a machine learning model for smart first-line operations on AWS SageMaker platform, developed and built the MLOps workflow from data engineering, model training and evaluation, model deployment and real-time inference, to model monitoring, maintenance and retraining;- Managed the lifecycle of Irdeto’s products and services with tools such as Kubernetes, Terraform, Docker, and GitLab, supported in continuous deployment and change management to ensure products operate flawlessly in the cloud with high performance;- Skilled with monitoring tools (VictorOps, Splunk, AWS CloudWatch, Grafana, etc), created new dashboards and alerts or improved existing ones, promptly and effectively performed triage and troubleshooting to resolve issues quickly;- Handled communication and notifications on major issues to all stakeholders, and acted as a key stakeholder in root cause analysis of incidents;- Improved operations best practices, standards and processes, worked on continuous improvement, development, and maintenance of procedures and documentation. Show less

Delft, South Holland, Netherlands

- Developed a multi-fidelity physics-informed deep neural networks model for uncertainty quantification of numerical simulation data, where physical info was incorporated into the training process to improve accuracy and generalization, and three fully connected NNs were trained to exploit the linear and nonlinear correlation between low fidelity and high fidelity data;- Developed an efficient and accurate multi-level multi-fidelity Monte Carlo method for quantifying high-dimensional… Show more - Developed a multi-fidelity physics-informed deep neural networks model for uncertainty quantification of numerical simulation data, where physical info was incorporated into the training process to improve accuracy and generalization, and three fully connected NNs were trained to exploit the linear and nonlinear correlation between low fidelity and high fidelity data;- Developed an efficient and accurate multi-level multi-fidelity Monte Carlo method for quantifying high-dimensional geometric uncertainties with application to computational expensive CFD models;- Assisted in teaching applied numerical analysis and coached for graduate project Design Synthesis Exercise Show less

Thuwal, Makkah, Saudi Arabia

- Inferred and calibrated debris flow parameters using Bayesian inference from debris flow experimental data;- Built a stochastic approximation to D-Claw model using a preconditioned non-intrusive polynomial chaos expansion.

Phd Candidate, Aerodynamics

Master Of Science (M.S.), Power Machinery And Engineering

Bachelor Of Science (Bs), Energy And Power Engineering