Dev Gupta Email & Phone Number

Atlanta Metropolitan Area

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.

Atlanta Metropolitan Area

• 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.
• 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

Atlanta Metropolitan Area

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.

Atlanta Metropolitan Area

• 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.
• 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.

Atlanta Metropolitan Area

• 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.
• 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

Atlanta Metropolitan Area

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.

Atlanta Metropolitan Area

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.

Atlanta Metropolitan Area

* 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