Architecting a cloud native application using Kubernetes, Docker, Python, Fairing, gVisor, Flask, Rabbit MQ, Postgres etc. The main goals are to build a secure, scalable and highly reliable solution that can be deployed as service in any cloud on on prem environment facilitating data scientists to build ML algorithms. The platform will have tremendous impact on cost as it will alleviate the need to provided expensive GPUs to each data scientist in order to process tera bytes of data that is typically required for ML training tasks. I am also engaged in validating data and build POC solutions for ongoing ML competitions that our company hosts regularly.

Delivery of a truly remarkable Next-Generation version of the product with features capitalizing on technologies like Chatbot, Computer Vision, Machine Learning, QR Code, Mobile App etc. Features like use of natural language to execute transactions, interactive emails to approve documents and predictive analysis to auto send reminders for key activities are expected to completely change the user experience.

Tremendous improvement in productivity and total streamlining of user interface by creation of an in-house MVC architecture along with associated code generator.

Quantum improvement in quality by implementing automation of system testing using Selenium. Got a hybrid framework developed right from ground up. Further improvement coupled with reduction in effort via implementation of Static Code Analysis for SQL code.

Standardization of specification document and uniform & automatic effort estimation via an in house web based tool.

Enhancement of objectivity in appraisal process and increase in resource satisfaction by defining quantifiable KPIs and a process to measure them for example productivity, quality and timeliness.

Cost reduction in configuration and infrastructure management activities by bringing in high degree of automation and setting up of a continuous integration pipeline using ps scripts, Jenkins etc.

POC development for new technologies like Server less architecture for Cloud using AWS services like S3, API Gateway, DynamoDB, Lamba, SNS

Improved ability to tackle performance issues before any adverse impact to customer by developing a system of proactive alerts whenever a resources falls below a predefined threshold. Detailed online visualization of performance stats using Elastic stack enabling in depth analysis.

Implemented several features in Powerpoint and Excel using in C++ like Bidirecyional editing, international calendars, date time formats etc

Socket programming in C on Windows and Unix environments to develop a client server Library management application. Lead the project of using Z390.50 protocol to exchange information regarding books in libraries across the globe