Worked on the main client-facing Sendoso application with over 1M monthly traffic for critical bugsnags, improvement in codebase after active profiling, contribution to new scaling system design discussions

Led a team of 12 engineers for a service within the product group building an SaaS application from ideation to completely auto scalable micro-service, did almost everything from programming, designing highly available systems, scripting auto scaling containers, benchmarking and improving application in terms of resource usage

Managed live applications (enterprise, client-specific), developed all feature set requirements originating from clients for R&D results and product enhancement

Developed complete REST web services, with focus on scaling the application to 20k/sec request-response model in short-term, developed and implemented both sql and non-sql database logic, led a team responsible for creating tools for testing integration with third party providers, improved UI/UX and simplified the application state

Made various in-house applications from the first line of code to an actual revenue generating product, performed various tasks such as coding modules, testing, designing, taking initiative for ownership in various services, review and solve technical problems in existing applications

Proposed a machine assisted system DeepMoney developed for discriminating fake notes from genuine ones and apply it to Pakistani banknotes. Live Image processing and feature recognition techniques are used to design the overall approach of a valid input. Augmented samples are used in the experiments that show a high-precision machine can be developed for authentication of paper money. DeepMoney reports for both accuracy and completeness of monetarily features. While this system will point out these security features to prevent counterfeiting some of the issues that should be considered in designing of currency notes in the future.-Our Contribution so far from (DeepMoney)• LiteratureThe trail and tested methods will produce some results that will be helpin adding literature to this specific domain• DatasetA collection of Pakistani Bank Notes namely 10,20,50,100,500,1000,5000will be produced and made publicly available• Mid-fidelity RecognizerAn analyzer of Pakistani Bank Notes will be presented through it, varyingin angles, view-points etc