My primary roles are to lead the execution of Machine Learning and AI products to enable world class experiences. Our products have mission critical applications to personalization and everything in between, enabling not just savers but our customers on both the retail and brand side. We also work closely as a cross functional team with Data and Analytics to further grow teams internally in their own ML capabilities.

I was the Engineering Manager, Machine Learning for a mobile technology company. I was recruited to join the rapid growth startup to scale machine learning capabilities. I partner with the senior leaders to obtain buy-in through early engagement and have built the structures to scale ML / AI across the product portfolio.My team has evolved with the product portfolio in this time. I transformed the culture of the engineering team to attract and retain the top ML and data talent in the… Show more I was the Engineering Manager, Machine Learning for a mobile technology company. I was recruited to join the rapid growth startup to scale machine learning capabilities. I partner with the senior leaders to obtain buy-in through early engagement and have built the structures to scale ML / AI across the product portfolio.My team has evolved with the product portfolio in this time. I transformed the culture of the engineering team to attract and retain the top ML and data talent in the market. I empower people to reach new heights by providing calculated growth opportunities and holding people accountable to our defined objectives. This has amplified the capabilities of the people on my team and deepened our value to the company.I also pivoted the model from custom coding of everything to a culture of scalable frameworks. This transformation has led to the splitting of my team into 2 separate teams that continue to shape the growth trajectory of the company through its products. My business acumen and practical approach drivemy ability to ask tough questions and to make the decisions needed to scale innovations cost-effectively.A few of my recent achievements include:● Led up to 13 direct reports geographically dispersed across the US with ownership of the $2M budget.● Built a highly engaged culture that attracts and retains the top ML and data talent in the market.● Saved money and created a pathway to scalable ML development for the enterprise technologies by establishing the frameworks and governancethat enable streamlined technology delivery.● Manage 15+ products (B2B, B2C) including a white labeling solution used by Fortune 500 companies.Representative Products: Enterprise Advertising Platforms, Data Visualization Tools, Fraud & Cybersecurity Show less

I was promoted to Senior Software Engineering Manager, Machine Learning at Raytheon after my success in the post-acquisition integration of the Predikto team and our ML products. I led 3 direct reports in this role and owned the maintenance of all of our data science products. Highly regulated entities used these products and we continued to drive the innovation of the complex platforms.As a technical leader, I was also responsible for setting clear goals and expectations for my team… Show more I was promoted to Senior Software Engineering Manager, Machine Learning at Raytheon after my success in the post-acquisition integration of the Predikto team and our ML products. I led 3 direct reports in this role and owned the maintenance of all of our data science products. Highly regulated entities used these products and we continued to drive the innovation of the complex platforms.As a technical leader, I was also responsible for setting clear goals and expectations for my team, delegating tasks effectively, and providing guidance and support when needed. This helped foster a positive and productive work environment where everyone felt motivated to deliver their best work. I championed the success of my team through cross-functional collaboration that unlocked our potential while ensuring alignment with the organizational needs and goals.My technical capabilities enabled me to also contribute to the scale of our core platform. I spearheaded the transition from the custom code to Airflow. This enabled us to scale the platform to handle the needs of Raytheon's large-scale clients while retaining the solution's functionality and unique value.I found great success during this time and learned a lot through the post-acquisition integration of our start-up team. When the opportunity arose, I decided to return to a start-up technology company where I could contribute the lessons learned to shape the success of a growing organization. Show less

I continued post-acquisition with the Predikto team to join Raytheon as the Software Engineering Manager, Machine Learning. During this time, my focus was on integrating the solutions into the larger Raytheon technology portfolio. This involved working closely with the software development teams to ensure seamless integration and scalability of our machine learning algorithms.I served as the link between our product team working on the platform that automatically detected equipment… Show more I continued post-acquisition with the Predikto team to join Raytheon as the Software Engineering Manager, Machine Learning. During this time, my focus was on integrating the solutions into the larger Raytheon technology portfolio. This involved working closely with the software development teams to ensure seamless integration and scalability of our machine learning algorithms.I served as the link between our product team working on the platform that automatically detected equipment failures and the larger Raytheon product teams. I did this by balancing the needs and priorities of both companies while ensuring the Predikto team felt supported through the changes. This required strong communication skills and the ability to quickly adapt to changing priorities.My results in this capacity included:• Spearheaded the development of a mathematical rules-based microservice including leading engineers.• Piloted a proof of concept successfully to obtain buy-in to investigate the use of JEP to integrate with Akka for greater scalability.• Architected the connection of clusters to ETL for large data volumes from customers using Kafka.• Applied knowledge of atmospheric chemistry to optimize the ETL platform yielding improved accuracy.The success in this role led to my promotion to Senior Software Engineering Manager with Raytheon. I took the insights gained during my early days at Raytheon to continue to drive the success of the platform and our team within the large global enterprise. Show less

I joined the Machine Learning startup as the Senior Software Engineer, Backend. My role was to build a platform that automated machine learning predictions for industrial transportation equipment. I reported to the founders and senior executives of the rapid-growth technology company prior to its acquisition by Raytheon. I applied my technical knowledge and business acumen to build technologies while engaging the leaders through the changes.My primary focus was on developing and… Show more I joined the Machine Learning startup as the Senior Software Engineer, Backend. My role was to build a platform that automated machine learning predictions for industrial transportation equipment. I reported to the founders and senior executives of the rapid-growth technology company prior to its acquisition by Raytheon. I applied my technical knowledge and business acumen to build technologies while engaging the leaders through the changes.My primary focus was on developing and implementing the backend infrastructure for our platform. This involved designing and optimizing databases, creating APIs for data retrieval, and integrating with various machine learning algorithms. I partnered cross-functionally to gain a deeper understanding of data science and to fine-tune our algorithms that improved the overall performance of the platform.I also played a key role in communicating with stakeholders and presenting updates on our progress. This involved regular meetings with the founders and senior executives to discuss project timelines, budget considerations, and any potential roadblocks. As the platform grew and underwent changes, I had to adapt my approach and strategies to accommodate these shifts. It required patience, excellent communication skills, and a clear understanding of their concerns to successfully convince them of the benefits of our platform.Wins included:● Mentored 4 junior developers to foster their development while maintaining momentum of key projects.● Supported 4 data scientists as the owner of the backend services including architecting scalable features.● Played a key role in the ETL of large-scale data into the enterprise data lake to fuel product innovation.● Built aggregators that supported aggregations of 100,000s of features.● Took ideas through the SDLC including concepting, architecting, and deploying automations of features. Show less

During this time I worked on several Proof of Concepts, including one that attempted to build a recommendation engine for in store products.Worked on furthering the big data platform at Hadoop, which included day to day operations, performing code reviews and building supporting tools.Built a monitor for Hive (SQL translation layer for Hadoop), this provide our sysadmins and users and easy to use status tool for Hive. Built a real time aggregation and alerting tool that… Show more During this time I worked on several Proof of Concepts, including one that attempted to build a recommendation engine for in store products.Worked on furthering the big data platform at Hadoop, which included day to day operations, performing code reviews and building supporting tools.Built a monitor for Hive (SQL translation layer for Hadoop), this provide our sysadmins and users and easy to use status tool for Hive. Built a real time aggregation and alerting tool that monitored table transactions and used Storm and Kafka to alert business users. Built cloud based push notification system for our in store PCs. It was built using Spring Boot, Gradle, and Websockets. Also utilized Redis and ActiveMQ in version 2 to further enhance the near real time performance. Helped startup a student based R&D facility at Georgia Tech for The Home Depot (THD Technology Center/ OrangeWorks). During this time I also was involved with helping run the I.T internship and mentored 8-10 students every summer, along with 1 or 2 directly on my team. Regularly held Lunch and Learns on various programming topics (Design Patterns, Spring Boot Quickstarts, and usage of internal tools). Show less

Worked in Big Data. Helped support the 500+ node Hadoop Infrastructure. This included code reviews and helping development teams begin coding on the relatively new infrastructure and platform. I helped build a set of MapReduce programs to help optimize certain pricing models. Also helped support and perform performance optimizations on an R+Hadoop based financial application. During this time I presented to our hadoop users on doing What is Hadoop and Test Driven… Show more Worked in Big Data. Helped support the 500+ node Hadoop Infrastructure. This included code reviews and helping development teams begin coding on the relatively new infrastructure and platform. I helped build a set of MapReduce programs to help optimize certain pricing models. Also helped support and perform performance optimizations on an R+Hadoop based financial application. During this time I presented to our hadoop users on doing What is Hadoop and Test Driven Development in MapReduce. Also began working with the I.T internship program at The Home Depot. I helped revamp the phone screen process to help screen for better technical skills. Show less

* Worked on an Adobe Flex application to manage product groups for Supply Chain I.T* Implemented Home Depot's first production Hadoop application* Simulated changes in costs depending on inventory holdings and turnover* Utilized MapReduce and CSV downloads through HDFS REST API