Transferred to AESL.

Built Microservices and Modules from Ground up such as:- Doubts on Chat :- Students upload the question images, on backed we extract text from the image and run it across out ML model to find solution.- Ask an Expert :- In Doubts on Chat, if no solution is found we forward the doubt to an Aakash Expert faculty via a remote call to an existing QRC module.- Parents' view :- Changed existing implementation of our user sessions to have a "user" flag denoting if the login is of student or parent and show relevant info on API call, like attendance and scores on Parent's login.- InApp Feedback :- Implemented InApp feedback module for myAakash app Backend to ask for student feedback upon certain events by making remote calls to many different microservices.- Fee Payments :- Implemented non seamless payment system on myAakash app's parent view, allowing parents to make quarterly installment payments through app itself, with ccAvenue's payment gateway alongwith p[ayment redundancy checks.- Profile Validation :- For ANTHE Results, developed the backend for an internal module used by admissions team to validate all the student profiles for data mismatch or data being absent, and view the records by downloading the csv. Also implemented a Correction module to upload the csv with all correct user profiles.- Admin Utility :- Update Student profile on test results database along with multiple downstream services with fallback mechanism.- NeetPG :- Worked on AWS mock API to directly forward a JSON to SQS for profile cache clearing so that upon payment made by a student, we get the updated profile info and not cached data.- Test Platform :- Working on a new central Exam Platform which will support multiple different tests like play-pause tests and continuous tests with publishing and timed results mechanism along with Device ID tracking. Currently its prelim phase is used in NeetPG app Beta,