Rishabh Kulkarni Email and Phone Number

- Created a Spring Boot based change logging system, ensuring comprehensive tracking of JSON data modifications using Java.- Followed Agile Methodologies, actively participating in sprint planning and review meetings between 2 week sprints.- Ensured deployability, solving Kubernetes and deployment bugs to pass Github Actions and Kubernetes deployment.- Improved manageability, scalability, and cost savings by leading on-premises to cloud migration, enabling full service compatibility with Microsoft Azure.- Configured Azure using Azure DevOps for queues and permissions, implemented KeyVault for enhanced security.- Developed and expanded robust API endpoints, enabling efficient data creation and viewing, along with multi-level filtering for tailored outcomes.- Populated and queried MongoDB and Cosmos DB databases using MQL and SQL, led a migration from MongoDB to Cosmos DB. - Designed an optimized code structure for local testing and deployment with the use of RabbitMQ and Azure Service Bus, garnering interest from cross-team developers seeking implementation guidance.

- Led a team of 9 Software Engineering Graduate Students in a project for Cook Medical. - Utilized Agile, administering 2 week sprints, sprint planning, and sprint reviews. - Managed critical nonconformance data for biomedical equipment, mitigating high-risk issues and ensuring compliance.- Conducted analysis of Cook Medical's non-conformance, production, and environmental data, identifying key trends to guide strategic decision-making. - Developed an interactive PowerBI dashboard, providing a dynamic platform for in-depth non-conformance analysis, enhancing data-driven insights and informed action.

-Utilized AWS IoT Core and DynamoDB to process and store sensor data.-Extracted live device connectivity and sensor data from MQTT topics using SQL queries.-Built AWS SNS systems to alert users in real time if their IoT device sensor crosses a threshold ordisconnects from AWS.-Developed data anomaly detection system using IoT Core.

-Generated a Python script to calculate Inter Rater Reliability using Krippendorff’s Alpha.-Developed software to scan and flag data with the highest variance, re-tagged and evaluated this data to achieve higher Krippendorff’s Alpha scores.-Took Krippendorff's Alpha scores from 0.65 to 0.81 within 5 weeks.-Used smart probing to objectify ambiguous user data.-Implemented smart probing by creating a Conversational AI chatbot using RASA.-Annotated 2,000+ rows of data to train the Natural Language Processing algorithm

-Developed code for autonomous and tele-operated capabilities using LabView and Java.-Utilized motion profiling to generate autonomous pathfinding.-Implemented vision processing, using a limelight camera and retroreflective tape detection, for an autonomous shooting mechanism. -Operated the robot under high pressure situations at competitions.-Analyzed match data pulled from the FIRST Robotics API to devise match strategies. Gained a competitive edge against competitors through strategic gameplay driven by data analytics.

-Utilized Microsoft Power BI to create dashboards and infographic models.-Developed a predictive analysis for Raspberry Pi data using Microsoft Azure.-Transported live data from Raspberry Pi to Power BI and created a live dashboard to present to community leaders.