Rohini Sharma Email & Phone Number

Redmond, Washington, Us

Working on Microsoft Fabric as a backend developer on the AI Skill artifact to create Data Analytics tools that utilize large language models from OpenAI.

Redmond, Washington, Us

- Working with C# and SQL-based backend control plane layer for Azure App Service to maintain, update, and service REST APIs.- Improved existing infrastructure for quota enforcement by designing and implementing automatic usage tracking via Redis Cache. - Reduced incoming customer-reported incidents by 60% by updating existing quota enforcement logic - Utilized distributed system architecture and addressed single point of failure issues by creating new regional endpoints to serve App Service traffic

Durham, Nc, Us

Organization connecting and empowering college women with a passion for technology. Member of the 2020-2021 Fellowship class

Champaign, Il, Us

Illinois Robotics Group (Prof. Saurabh Gupta) - Worked on a project to implement Imitation Learning techniques on a Franka robot to learn tasks with agricultural applications. - Worked with Reinforcement Learning techniques and inverse kinematics to create a vision based system that allows a LocoBot robot to grasp and open doors. - Modeled robot behavior using Embodied AI techniques such as Proximal Policy Optimization and Soft Actor-Critic algorithms in MujoCo physics simulator. - Worked with ROS and PyRobot to develop methods to control a LoCoBot robot.Attention and Perception Lab Aug 2019 - Current- Researched the effects of object pose on existing computer vision models.- Worked on a project to develop a quantified approach for comparing the performance of deep convolutional neural networks (DCNN) for computer vision like AlexNet, VGG-16, and ResNet-150 with human vision. Created a program for image data collection to create a training dataset of various object categories. - Used Python Imaging Library to algorithmically analyze and eliminate stock photos.

Urbana, Illinois, Us

Currently working as team lead on a project to improve BIPOC experiences and retention in UIUC student organizations.Previously worked on a project to improve voter engagement on the UIUC campus. Conducted interviews and researched to find qualitative and quantitative data on voter engagement.

Redmond, Washington, Us

Working in the VS Data Science team to develop AI powered tools to aid developers.- Created a VS Code extension to generate PowerShell code snippets based on user comments using a natural language model.- Cleaned data to then use to train a sequence to sequence transformer model using Fairseq. - Deployed natural language model to the cloud to be used as a service for VS Code extension

Redmond, Washington, Us

- Worked in the Developer Division's Terrapin project, to prevent software supply chain attacks and secure distribution of open source packages. Implemented risk provenance for PyPI and Maven Package Managers using .NET core, C#, serverless Azure Functions, CosmosDB and CI/CD pipelines using Azure DevOps.- Developed AzureML pipelines to train personalized object detection models for visually impaired individuals for Microsoft’s Seeing AI app

Durham, North Carolina, Us

Vehicle to Pedestrian (V2P) Safety Interventions Project: Summer 2018Developed an Android app for DoT sponsored research project to experiment with the pedestrian response to mobile phone alerts notifying them of incoming autonomous vehicles. Created an accompanying app that simulated signals from incoming autonomous vehicles. Collected and analyzed data from the app to measure user experience. Drone Motion Capture Project: Summer 2017Worked with Professor Missy Cummings' group on their drone motion capture project to test how various training methods and control techniques affect the performance of users piloting drones. Led the experimental environment team of summer interns for the drone motion capture project. Programmed a collection of Arduino based microcontrollers with servo motors to control dynamic elements using XBee protocol.

Raleigh, North Carolina, Us

Active Robotics Sensing(ARoS) Lab: Jan 2017 - May 2018Implemented an Arduino based system for image capture for building an autonomous system for visual identification of foraminifera with image classification. Developed a Python-based object detection application for smart prosthetic attachments using OpenCV and implemented a single shot multi-box detector (SSD) algorithm, trained on the Common Objects in Context (COCO) dataset using Tensorflow on NVIDIA’s Jetson GPU platform. ASSIST Young Scholar: Summer 2016Conceptualized, prototyped and developed an Arduino based device and a data analysis application for detection and monitoring of sleep apnea using Python.

Bachelor Of Science - Bs, Computer Science

Education record