Michael Light Email & Phone Number

Hartford, Ct, Us

Mclean, Va, Us

- Develop GenAI RAG platform to answer user questions on both structured and unstructured data- Full stack development of GenAI product to generate responses to Request For Proposals- Coach for winning team in Women in AI Incubator competition

Louisville, Kentucky, Us

- Lead Engineer on Enterprise Machine Learning Platform- Test and Pilot AI coding assistant tools- Serve as Community TA for Databricks' Professional LLM certifications on EdX- Develop and deploy model configuration validation tools for ML applications- Develop and deploy custom linting tools for production ML applications- Develop and implement pull request classification models- Migrate Natural Language Processing research team to new cloud environment- Develop and implement Databricks Tesseract bootstrap installation scripts- Implement Dynatrace real-time infrastructure monitoring for enterprise ML platform- Serve as CyberSecurity Advocate for enterprise ML platform- Author and implement near real time alerting for open source vulnerabilities- Provide Tier 2 and 3 support for production machine learning models- Develop feature store exploration and selection tool for data scientists- Author cli tool for AI engineers- Mentor and coach AI/ML engineers

New York, Ny, Us

Lead Engineer in Enterprise Advanced Analytics/ML Ops-Author and maintain data engineering and data science python packages-Lead evaluation and POC new foundational ML Ops capabilities-Manage and mentor team of engineers

New York, Ny, Us

Senior Engineer in Enterprise Advanced Analytics/ML Ops- Maintain and enhance Python SDK for model instrumentation and metadata logging - Author enterprise feature engineering framework in python - Author AWS Sagemaker framework for experiment tracking and model management- Curate python learning pathway for data engineers- Evaluate and demo new cloud advanced analytic capabilities for corporate audiences - Develop and deploy Python packages for data engineer and data science communities - Work with business units to operationalize ML/AI models- Mentor and coach team of junior engineers- Develop data products using pyspark, pandas, and SQL in SnowFlake and Databricks

New York, Ny, Us

-Senior Engineer and Technical Lead in Global Data Technology Center of Excellence in Global CIO office-Install Enterprise instances of Informatica EDC and Axon-Install Enterprise instance of BigID-Develop and deploy data ingestion pipelines in kubernetes-Develop and deploy self service tools for Dremio administration using Angular and NodeJs-Develop and deploy Camunda BPMN’s, using NodeJs external workers-Maintain and document ODS for Dremio self service applications-Provision and administrate private cloud VM’s

New York, Ny, Us

- Lead Engineer in Enterprise Operations group. - Enable AWS environment, develop batch and real time data ingestion patterns of customer data. - Architect, develop, and deploy containerized applications to ingest 3rd party data into enterprise data lake. - Integrate on-prem and AWS services using API Gateway proxies and Velocity Template Language. - Ingest customer interaction data in real time and put into AWS datalake using Mulesoft- Ingest batch data into AWS data lake using Talend- Deploy and manage cloud infrastructure using Jenkins and Terraform. - Deploy cloud resources using Terraform Cloud for state management and Sentinel compliant resources- Mentor and lead team of data engineers.

New York, Ny, Us

-Lead team of data engineers to deliver big data and cloud data products and services-Oversee development of Big Data assets-Develop and implement standards in data engineering Center of Practice-Deploy AWS resources for data science using Terraform and Jenkins-Worked with Data Science community to deliver new underwriting model using cloud resources-Serve on Rapid Response team to deliver timely business intelligence to senior leadership-Lead training seminars on distributed computing topics, Python, and cloud development

New York, Ny, Us

- Use Python, Spark, SQL, SAS, Hive, Sqoop, Pig, and Tez to re-engineer workers comp data products and migrate from SAS to Hadoop. - Teach weekly Python seminar in Business Insurance, Information Management and Analytics.- Data science lead for AWS engagement, creating POC for Sagemaker and related AI services. - Team lead for inaugural innovation investment cohort, accelerating exploration and implementation of innovation projects. Present findings to senior corporate leadership. - Use Kanban, Git, and GitHub for project management and version control as project lead on Workers Compensation lines’ data products. - Provide data models and POCs to ingest data from various sources and in various formats. - Perform data validation and assess data quality for actuarial group. - Provide subject matter expertise in Anaconda and Jupyter Notebooks. -Used Docker, Flask, Python, and Kafka to simulate real-time anomaly detection network. - Write bash scripts for multithreading and automation. -Work with team of off-shore developers to deploy Pyspark applications.

Hartford, Ct, Us

With President and CFO, led series of financial workshops to educate Board on the economics of higher ed. Exceeded financial and enrollment targets. Restructured financial aid division. Performed descriptive and predictive modeling using both qualitative and quantitative data. Deployed practical solutions using regression and classification techniques. Accurately projected new student enrollment within 1% while exceeding financial goals and yielding increasing academic quality. Implemented new 4-year pricing model; a first for selective colleges. Created API's for ERP's using python for high level of data analysis and internal reporting. Automated enrollment and financial modeling. Present findings to Board, faculty, cabinet, and other college committees. Rewrote and updated business rules in CRM to increase efficacy and productivity. With Deans and Director of Study Away, redesigned administrative processes associated with study abroad and implemented new pricing strategy, increasing revenue and participation. Successfully deployed predictive analytics to exceed revenue goals by nearly $2M while increasing customer satisfaction and streamlining processes.

Philadelphia, Pa, Us

Met or exceeded financial goals. Provided data reporting, analysis, econometric modeling and predictive analytics. Increased retention. Provided student yield and net revenue models. Restructured financial aid and billing divisions. Rebuilt all business processes in division to increase productivity by 12%. Increased rate of revenue collection and reduced write-offs. Increase percentage of on-time payments by 20%. Oversaw implementation of admissions CRM.

Philadelphia, Pa, Us

Exceeded enrollment and financial goals. Through strategic pricing and predictive modeling, increased academic quality, geographic, and socio-economic diversity of incoming class while improving yield. Maintained and modeled budgets and enrollment. Integrated and streamlined processes between business units. Travel nationally for recruitment. Present to internal and external constituents.

Philadelphia, Pa, Us

Travel nationally for recruitment. Implemented Robert Noyce Fellowship program. Reallocated aid resources to maximize net revenue.

Philadelphia, Pa, Us

Implemented expanded aid programs for low income students. Worked closely with admissions and athletics on recruitment. Provided all external and internal data reporting and financial modeling.

Master Of Science, Organizational Dynamics

Bachelor Of Arts, Economics

Certificate, Applied Data Science