Abhishek Dangarh

Led a team of five developers and three testers to deliver the requirements for the Subsurface Well program. Refactor the codebase architecture by implementing a gRPC layer to decouple client and server code, facilitating the reuse of complex algorithms among various services. Enhanced code efficiency by 20% through the migration from C++11 to C++17. Implemented gtest testing procedures, resulting in a 30% reduction in bugs. Boosted user satisfaction scores by 25% through enhanced UI/UX design improvements. Created a tool named Saturation Height Modeling Nuclear Magnetic Resonance for analyzing oil field data to quantify hydrocarbons, leveraging Magnetic Resonance technology to achieve an annual cost saving of $2 million per oil field. Integrated high-performance computing techniques have been utilized to simulate jobs in bulk via Slurm, thereby enhancing product efficiency. Design and develop plugins for essential products like CoFlow and Schlumberger Techlog, which are employed by Petro-physicists and Reservoir Engineers to optimize field development and improve hydrocarbon recovery. Enhanced the codebase's efficiency and security by 20% through integration with Sonar and Mend services.

Designed a system to showcase the Business Value by measuring KPIs and customer success metrics for all JDA in-house products on Azure. The Business Value Platform has decreased the account managers' man-hours by 14,500 annually. Developed warehouse modules for JDA WMS, including receiving, put-away, picking, and shipping, utilizing RF scanning guns to enhance store operations. Implemented face detection and image to text conversion for BP bills using OpenCV, improving transaction efficiency. Enhanced product efficiency by 20% through the automation of daily transaction and inventory reports for BP, ensuring precise data on available items and facilitating sales forecasting. Increased codebase efficiency by 30% by implementing design patterns and clean code practices.

Designed and developed a service that applies labels to cartons on a conveyor belt using robotic arms in a warehouse. This automation results in savings of $1.5 million annually per warehouse. Created and reviewed High-Level Designs (HLDs) based on the Business Requirements Specifications (BRS) for tools designed for warehouse activities such as receiving, put away, and shipping. Collaborated with QA teams to automate testing processes for warehouse activities, resulting in a 20% reduction in bug counts.

Customized and improved the Oracle BRM application for Orange Telecom. Developed tools for analyzing Call Detail Records (CDRs) for billing and payment services. Developed automation tools to modify iScripts and iRules for Pipeline Manager, resulting in a 60% reduction in manual effort.