Aviinandaan Dutta

I worked as a sole developer on this project, designing the solution from scratch, providing estimations, handling queries and demonstrations to clients, and providing UAT assistance.

The process included leveraging Salesforce standard order objects, creating a custom order creation form exposed as Lightning Web Components (LWC), and standard and custom UI validations to effectuate business requirements.

The child components work as smart search and dynamic rows for product addition with inter-component communication using custom events. Order acceptance consists of a two-level approval process, with highly customized email templates using Visualforce components to dynamically show and hide contextual details and previous step information on approval or rejection.

The project also offers region-specific translation for all textual elements visible in the UI, such as field labels, validation messages, and assistive texts, using the same LWC components to work in edit mode and a custom button to submit for approval.

I created custom REST web services as API endpoints to integrate with a B2B portal with the platform as the back end. I used data model change to effectuate visibility and relationship requirements to use the information generated from the website for CRM.

The solution included:
• Exposing new and modifying existing Apex REST services as endpoints for requests retrieval and storage.
• Remodeling functional flow dependency for deprecated services.
• Separating logic by the source of origin based on request content.
• Related validations performed with intuitive and user-friendly response mechanisms.
• LWC component as an action button to send an invitation to the partner to register on the website.
• Two-way integration with Zoom to capture webinar information in the CRM.
• Scheduled report to mitigate configuration issues resulting in erroneous data impacting services.
• Post-deployment data migration.

I was the sole technical contact from the Salesforce account team for the client, front-end, and Salesforce Marketing Cloud teams, providing insights into design challenges, enhancement solutions, and incident support.

A Lightning app created for appointment booking, with standard out-of-the-box (OOTB) features that are re-used as much as possible and Lightning components for the appointment booking interface. The offered features also include:

• Google Calendar API to view and create events.
• One-time authorization requests to customers during onboarding using a public site.
• Interface to show a user-friendly display of availability and booking in a custom-built calendar after fetching event details from the customer's Google Calendar.
• Appointment manager as LWC app tab with booking details view and selected physician's calendar view.
• Google Calendar events are created on stakeholders' calendars.
• Dashboard with appointment metrics.
• Lightning app with relevant tabs.
• App user profile.

The project aimed to predict post-translational modifications (PTM) sites in protein sequences using evolutionary computing from raw protein sequence data from wet lab tests. With the data preprocessing forming sets of fixed-length windows, their physicochemical properties as features, and iterative gradient-free search using the genetic algorithm, we arrive at an optimum value for the window length and the number of features.