Professional SummaryHighly skilled software development professional bringing more than 4 years in software design, development and integration. Offering advanced knowledge of cloud components, data ingestion, and Java Python JavaScript programming languages. SkillsPython, Java, HTML, CSS, JavaScript Application Frameworks GCP BigQuery, Pub Sub, Apache Beam, k8s, Stackdriver, Grafana, Tableau, Sumo Logic, DataDog, New Relic, Apigee, Angular, Node.js, Spring, Spring MVC, Spring Boot, Spring Data, Spring Cloud, Netflix OSS,JPA, Maven, Tomcat, Hibernate, Express, Redis, PostgreSQL, MongoDB, Docker, RESTful API, Nginx, TensorFlow, NLP,React, Git, Apache Bench, PostmanApacheAPICookingCSSDatabaseDebuggingDeliveryEngineerETLFunctionalGCPHTMLJavaJavaScriptLeadershipLogicDirectorMarketMongoDBMVCNLPOSSPostgreSQLPricingProgrammingProgressPythonQualityExpressReal-timeSoftware developersTableauTablesTomcatWorkshops Work HistorySoftware Developer,12 2018-CurrentMaxar Technologies Ltd Reston,VA,Designed and deployed the first data ingestion pipeline on Google Cloud Platform (GCP) by using Cloud Pub Sub, Cloud Dataflow, Cloud DataPrep, BigQuery, and Stackdriver to collect, store and monitor event data streaming The ingestion pipeline helps data scientist team on collecting the order level data events, IoT devices status without touching production database and support real-time data collecting Designed and implemented ingestion service and schemas store by using TypeScript The ingestion service and schemas store helped the entire team automatic generating unpacking pipeline and secondary table for all internal consumers Designed and implemented JavaScript SDK ingest URL to publish events from backend service, IoT devices, and 3rd party service Using JWT token as Authorization, Apigee as API key management tool Collaborated with data scientists team to collect requirements of demand prediction models and delivered ETL tables by using BigQuery Apache Beam(dataflow) and Cloud Dataprep Supported 2 data scientist engineer team, 4 ML models including order preparation, dynamic pricing, etc Implemented KPI dashboards for cross-functional leadership to monitor data growth weekly and for 4-5 teams of data scientists to monitor data ingestion and data quality daily.Used Tableau and Grafana to build data models and visualize data hosting millions of daily data entries Led a team of 4 software developers to collect user requirements from the factory operations team, translated the business to technology need to the services team and ensured consensus, spearheaded the build of Grafana dashboard to track time-series metrics from IoT device.The dashboard was used by the factory team to monitor progress and by the cross-functional data scientist team to build on models Built IoT device alerting and monitoring system prototypes by ingesting data, customizing Apache Beam job to run and normalize data, and created real-time alerting functions with zero delay collaborated with 2 PMs to understand user requirements, owned the end-to-end prototype build in 2 weeks, demoed in front of 10 director-level board members Decoupled and migrated the monolithic backend service to microservices by using Node.js, RESTful API Designed and implemented the Market microservice and database to support food cooking and delivery service by using PostgreSQL, Knex, RESTful API, Express.js, and Typescript Onboarded 100 incoming software developers nationwide revamped and expanded knowledge transfer document, conducted workshops and 1 1s to help new joiners set up and understand environments, owned debugging and answered questions.Programmer,03 2016-12 2018New Jersey Institute Of Technology Newark,NJ,Designed and implemented an Auto-Test-System(ATS) handle the entire process including design, development, implementation, and integration Designed test packages (data checker, autographing tool, auto-input-data-file module, testing interface, and results checker) based on different standard requirements, ensure accuracy and sustainability of test results. EducationMaster of Science ,Expected in05 2014-Syracuse University-Syracuse,NYGPA Status-Bachelor of Science Electrical, Electronics Engineering Technologies,Expected in07 2011-Inner Mongolia University of Science Technology-,GPA Status- SkillsPython, Java, HTML, CSS, JavaScript AApplication Frameworks GCP BigQuery, Pub Sub, Apache Beam, k8s, Stackdriver, Grafana, Tableau, Sumo Logic, DataDDog, New Relic, Apigee, Angular, Node.js, Spring, Spring MVC, Spring Boot, Spring Data, Spring Cloud, Netflix OSS,JJPA, Maven, Tomcat, Hibernate, Express, Redis, PostgreSQL, MongoDB, Docker, RESTful API, Nginx, TensorFlow, NLP,RReact, Git, Apache Bench, Postman,Apache, API, cooking, CSS, database, debugging, delivery, engineer, ETL, functional, GCP, HTML, Java, JavaScript, leadership, Logic, director, Market, MongoDB, MVC, NLP, OSS, PostgreSQL, pricing, Programming, progress, Python, quality, Express, real-time, software developers, Tableau, tables, Tomcat, workshops  SEP  Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.As a Machine Learning Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what s to come. We re the people helping to define the metaverse. We may not have all the answers. But together, we re getting closer. Software Engineer, Machine Learning - Reality Labs Responsibilities Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)Re-evaluate the trade-offs of already shipped featuresML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriateLeading a team from a technical perspective to develop ML best practices and influence engineering cultureBe a go-to person to escalate the most complex onlineproduction performance and evaluation issues, that require an in-depth knowledge of how the machine learning system interacts with systems around itDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering team Minimum Qualifications 6 years of experience in software engineering, or a relevant field or 4 years of experience if you have a PhD2 years of experience in one or more of the following areas machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fieldExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in CC and Java, or experience with scripting languages such as Python, Perl, PHP, andor shell scriptsExperience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projectsBachelor s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Preferred Qualifications Masters degree or PhD in Computer Science or a related technical fieldExposure to architectural patterns of large scale software applications Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext fb.com.