Lead the development of enterprise level, cloud native big data applications, machine learning models. Responsible for design, development, best practices, code reviews. Provided guidance on performance and scalability improvements operating in cloud environments.- Built end to end pipeline in Genomic Selection for crops on cloud native infrastructures (AWS) as backbone, leveraged Apache Spark distributed framework for big data analytics and query engine. - Implemented regression machine learning model derivative (Glmnet ElasticNet) using Spark ML library for genomic breeding predictions across various genomics, phenotypical datasets. - Engineered model training executions that scale horizontally in cloud environment across hundreds of nodes in Spark clusters.- Orchestrated Genomic Selection pipelines using Apache Airflow, responsible for providing the best predicted breeding values for assisting advancement decisions.- Applied Deep Learning for improved breeding predictions for Genomic Selection. Explored model deployments and executions across machine learning platforms for cost and performance benefits.- Built on-demand, container (docker) based batch job submission platform for the enterprise. Enabled massive parallel genome assembly jobs performed in high performance computing environment. Accelerated scientific discovery feedback loop through high concurrent / throughput system design leveraging cloud services to provide isolation, high availability, scalability, monitoring and audit reporting.

Participated in the architectural, design and implementation of enterprise software platform for the organization featuring SSO, Identity Management, User Provisioning, API management, Multi-tenancy, and Audit Logging. - Built usage metering infrastructure for all registered web applications using MongoDB to perform usage data analysis and aggregation. Provided technical guidance on leveraging the enterprise service bus for service orchestrations.- Technical lead for a team of 6 developers in Hyderabad office. Coordinated projects with Agile using standardized testing methodologies.- Adopted TDD (Test Driven Development) and BDD (Behavior Driven Development) methodologies in practice. Facilitated the automation of build lifecycles using Jenkins. Developed infrastructure automations with chef cookbooks and recipes. Reduced environment provisioning windows from days to minutes.

- Implemented the core online revenue application that provides generic solution for Rating, Billing, and Revenue Recognition across FedEx operating companies. Saved company over $2M annually by eliminating overhead costs of developing and maintaining multiple versions of revenue systems and software licensing costs. - Built enterprise level application using J2EE architecture. Decoupled dependencies between applications using integration patterns and SOAP web services to improve efficiencies and interoperability.