• Leading the development and testing of critical brokerage module by providing high quality delivery to clients using various technologies like Java, Spring, and AWS Services like AWS Lambda, AWS Cloudwatch, EC2 generating significant revenue.

• Architected a novel ETL data lake framework capable of handling and processing 1 million daily transactions, by levaraging PySpark, AWS Glue, Terraform and SQL resulting in a significant increase in business for clients and gaining deep insight into their data.

• Collaborated with cross-functional teams, including Quality Control, to provide expertise on testing new features, generating comprehensive test suites while ensuring the highest level of software quality.

• Proactively addressed and resolved client support tickets, provided On-call support by consistently meeting deadlines and ensuring a quick turnaround on issues.

• Mentored and guided junior developers and interns, promoting best practices in coding, adherence to

coding standards, and implementing robust testing methodologies

• The research work addressed the major industry limitation of low cost ID tags to monitor health of swines on farms along with tracking of coarse motion near water spigot points.

• I also analyzed various RFID tags and readers in different frequency ranges with respect to distance, orientation, motion and external environmental factors like water to determine its performance and use case limitations.

• Resonant sensors which emit a certain frequency radiation based on size and shape were also developed using screen printing and wax printing with PVC techniques.

• I worked to create a data pipeline architecture that reduces the time required for generating the reports on its Enterprise Data Management software from 6-7 hours to 30 minutes using various AWS services such as AWS Aurora, Glue, Lake Formation, Databrew, Athena and QuickSight.

• The tasks mainly include to do ETL on raw data which was stored in S3 bucket. This data will then go through the pipeline and a final data lake was created which had the transformed data in it.

• As the data lake was built successfully, me along with a team member also worked on AWS Lake formation which provided rules and filters to restrict the data access to various hierarchical level of users in the system. Lastly, reports were built using various tools available in AWS QuickSight.

• Understood the Bank’s requirements and developed new REST API’s and functionalities for Internet Banking, SMSBanking and Phone Banking channel.

• This was done using JAVA, Hibernate, ORM and Oracle Database.

• I worked with various clients such as Mashreq Bank, YES Bank, Syndicate Bank, National Bank of Egypt, and Afghanistan International Bank and was a team lead on Afghanistan International Bank project.

• I worked here as a research developer.

• The company wanted to develop chatbot for Indian railways. For that I researched on various mechanisms and platforms such as NLTK, wit.ai and IBM Watson services.

• After thorough research wit.ai was chosen and a working prototype of bot was developed which can handle customer queries such as train timetable, seat availability and train routes.