- Led the migration of Process Builder automation to Salesforce Flows. Developed and implemented migration strategies that improved process efficiency, resulting in measurable productivity and revenue gains for business clients- Developed, audited and implemented Apex and Batch classes in Salesforce (Sales, Marketing & Experience) Clouds for enterprise customers and clients- Directed a successful migration of the company website from WordPress to Salesforce Experience Cloud. Designed and implemented Lightning Web Components (LWC). Resulted in a streamlined, modernized platform aligned with business goals - Served as Subject Matter Expert in Salesforce Einstein AI, leading informative webinars on best practices and publishing insightful blogs on the company website. Demonstrated expertise in leveraging Einstein AI capabilities to drive enhanced sales strategies and optimize business processes for business clients- 2x Salesforce certifications attained: Salesforce Associate and Salesforce AI Associate. Demonstrated adeptness in Salesforce platform and AI functionalities

• Designed and built an internal Reporting Tool that filters information from Secrets and Certificates from Azure registered App Services and Subscriptions• Developed a database on Azure SQL to store the information from Secrets and Certificates• Built a website using ASP.NET framework and Telerik Ajax UI Radgrids to display the stored information from the DB and hosted the website on Azure Clouds• Configured Microsoft Authentication and implemented Security Groups to enable restricted access to user groups. Greatly improved the efficiency of the Subscription Auditing process for managers in the O365 team

• Developing a web-based image diagnostic tool using PHP to minimize the time needed for pathologists to annotate and identify up to 32 potential issues found in digitized histo-pathological tissue slides• Building a workflow using Python, MySQL, and machine learning techniques to aid pathologists in cross-checking their tissue diagnoses with results from a pre-trained convolutional neural network• Designing an intuitive user experience and user interface using JavaScript and OpenSeaDragon to ensure that pathologists can efficiently annotate tissue samples on a slide viewer that hosts thousands of SVS files

• Collected, pre-processed, and augmented multiple datasets containing thousands of facial expressions to create a machine learning model that would effectively classify 5 human emotions• Designed two convolutional neural networks using Python, OpenCV, and AlexNet to identify human emotions from real-time video and audio inputs of various facial expressions, and combined predicted results using Bayes Theorem to achieve a final testing accuracy of 67%

• Conceptualized and designed VRehab, a Unity-based VR/AR health application and gaming technology, using C#, Oculus Rift, and Leap Motion to accelerate stroke victim recovery by 26% through motor skill training• Researched the motor capabilities of stroke victims using Myo Armband and EMG sensors to visualize muscle groups activated in response to sensory feedback inputs (audio, visual, cognitive, haptic) - identified that 58% of stroke victims learned the best through audio-visual inputs• Composed and published an academic paper and distributed the VRehab health app across research labs, including Riken Brain Science Institute, Japan and IRI Unit Lab, and UAE University• Identified as the Highest Contributing Member amongst five founding members

• Developed a proof of concept for an intuitive user interface using C# and A* path finding to simulate real-time drone flights and estimate damage costs in the event of collisions or accidents in any chosendestination• Collected open-source information on the landscapes and architectures of different cities and used Unity and 3D Mapbox to visualize and reconstruct them on the simulation platform

FORWARD COLLISION WARNING SYSTEM• Designed a portable proximity sensor using Lidar and an HC06 Bluetooth module on an Arduino to alert vehicle drivers on their speed and distance from other vehicles and prevent collisions• Developed a speedometer app on Android studios using Java and XML to process and display sensor information on a mobile user interface

CHATBOT• Researched and analyzed existing products, functionalities, and capabilities of existing chatbots in themarket and created a superior chatbot compared to the competitors• Built and pre-processed a database that was used to train the chatbot in TensorFlow using C++ and Python