Experience

InsightFinder Inc.

• United States
• Software Development
• 1 - 100 Employee

• Software Engineer

  • Feb 2023 - Present

  ● Developed a root cause analysis module in Java for the Unified Intelligence Engine (UIE), an AI/ML-driven, both cloud-based (AWS) and on premise real-time streaming incident prediction system. ● Successfully implemented a patent-based adaptive learning algorithm to predict and prevent future incidents. Adjusted parameters of the Fast Fourier Transform and regression models to analyze daily metric and log anomalies, increasing prediction accuracy from 30% to 80%. ● Delivered full-stack… Show more ● Developed a root cause analysis module in Java for the Unified Intelligence Engine (UIE), an AI/ML-driven, both cloud-based (AWS) and on premise real-time streaming incident prediction system. ● Successfully implemented a patent-based adaptive learning algorithm to predict and prevent future incidents. Adjusted parameters of the Fast Fourier Transform and regression models to analyze daily metric and log anomalies, increasing prediction accuracy from 30% to 80%. ● Delivered full-stack software development cycle from requirements to deployment, debugging with Intelij, implementing CI/CD in Jenkins, optimizing I/O streaming with Cassandra by 50% , and deploying products on EKS EC2 using kubernetes. ● Led the training session to guide a team of 4 sales and solution engineers about the use cases of the prediction system and participated in customer meetings to demo pilot projects to help secure sales opportunities of 200K. Show less ● Developed a root cause analysis module in Java for the Unified Intelligence Engine (UIE), an AI/ML-driven, both cloud-based (AWS) and on premise real-time streaming incident prediction system. ● Successfully implemented a patent-based adaptive learning algorithm to predict and prevent future incidents. Adjusted parameters of the Fast Fourier Transform and regression models to analyze daily metric and log anomalies, increasing prediction accuracy from 30% to 80%. ● Delivered full-stack… Show more ● Developed a root cause analysis module in Java for the Unified Intelligence Engine (UIE), an AI/ML-driven, both cloud-based (AWS) and on premise real-time streaming incident prediction system. ● Successfully implemented a patent-based adaptive learning algorithm to predict and prevent future incidents. Adjusted parameters of the Fast Fourier Transform and regression models to analyze daily metric and log anomalies, increasing prediction accuracy from 30% to 80%. ● Delivered full-stack software development cycle from requirements to deployment, debugging with Intelij, implementing CI/CD in Jenkins, optimizing I/O streaming with Cassandra by 50% , and deploying products on EKS EC2 using kubernetes. ● Led the training session to guide a team of 4 sales and solution engineers about the use cases of the prediction system and participated in customer meetings to demo pilot projects to help secure sales opportunities of 200K. Show less



FORWARD Data Lab

• Champaign, Illinois, United States

• Research Assistant

  • May 2022 - Aug 2022

  ● Developed a model that bridged structured data and unstructured data with social media analytics and social network mining to build a wikipage of specific scholar. ● Completed pilot project in Python to retrieve unstructured scholar data from multiple websites. Big data processing flow included data access,data retrieval, data prep, data transform and aggregation from five different websites. ● Improved data processing performance with modularized pre and post processes in testing… Show more ● Developed a model that bridged structured data and unstructured data with social media analytics and social network mining to build a wikipage of specific scholar. ● Completed pilot project in Python to retrieve unstructured scholar data from multiple websites. Big data processing flow included data access,data retrieval, data prep, data transform and aggregation from five different websites. ● Improved data processing performance with modularized pre and post processes in testing, which can be applied to future research and reduce the running time by 20%. Show less ● Developed a model that bridged structured data and unstructured data with social media analytics and social network mining to build a wikipage of specific scholar. ● Completed pilot project in Python to retrieve unstructured scholar data from multiple websites. Big data processing flow included data access,data retrieval, data prep, data transform and aggregation from five different websites. ● Improved data processing performance with modularized pre and post processes in testing… Show more ● Developed a model that bridged structured data and unstructured data with social media analytics and social network mining to build a wikipage of specific scholar. ● Completed pilot project in Python to retrieve unstructured scholar data from multiple websites. Big data processing flow included data access,data retrieval, data prep, data transform and aggregation from five different websites. ● Improved data processing performance with modularized pre and post processes in testing, which can be applied to future research and reduce the running time by 20%. Show less



iFLYTEK Co., Ltd.

• China
• IT Services and IT Consulting
• 300 - 400 Employee

• Software Engineer Intern

  • May 2019 - Jul 2019

  ● Built database using Mongodb, implemented API functions in LUA, and tested different versions of API on GitHub to ultimately improve performance by 20%. ● Improved log report function of Openresty using C by adding metrics for more precise debugging and classified the access level of the report to reduce the time of allocating specific errors. ● Led a new quality improvement program by building a testing environment using CUDA, Opencv and Nvidia-docker to run an analytic engine on… Show more ● Built database using Mongodb, implemented API functions in LUA, and tested different versions of API on GitHub to ultimately improve performance by 20%. ● Improved log report function of Openresty using C by adding metrics for more precise debugging and classified the access level of the report to reduce the time of allocating specific errors. ● Led a new quality improvement program by building a testing environment using CUDA, Opencv and Nvidia-docker to run an analytic engine on CentOS 7 for a team of 8. ● Set up a new codebase using GitLab as a substitution for Apache Subversion to migrate the database from a centralized system to a distributed system to eliminate critical failure points and to efficiently control access to core codes. Show less ● Built database using Mongodb, implemented API functions in LUA, and tested different versions of API on GitHub to ultimately improve performance by 20%. ● Improved log report function of Openresty using C by adding metrics for more precise debugging and classified the access level of the report to reduce the time of allocating specific errors. ● Led a new quality improvement program by building a testing environment using CUDA, Opencv and Nvidia-docker to run an analytic engine on… Show more ● Built database using Mongodb, implemented API functions in LUA, and tested different versions of API on GitHub to ultimately improve performance by 20%. ● Improved log report function of Openresty using C by adding metrics for more precise debugging and classified the access level of the report to reduce the time of allocating specific errors. ● Led a new quality improvement program by building a testing environment using CUDA, Opencv and Nvidia-docker to run an analytic engine on CentOS 7 for a team of 8. ● Set up a new codebase using GitLab as a substitution for Apache Subversion to migrate the database from a centralized system to a distributed system to eliminate critical failure points and to efficiently control access to core codes. Show less