Radhika Singh

Experience

• 

  Aakar Software & Services

  Jun 2018 - Mar 2019

  Software Engineer Intern
• 

  Ericsson

  Feb 2019 - Jul 2019

  Software Engineer Intern

  Gained hands-on experience on AWS, Value Added System, Redis Cache, Red Hat Open Source Platform, Docker, and Kubernetes by collaborating with the SMEs of Ericsson.Collaborated with a team of 2 members to deploy a web product using AWS, Docker, and Kubernetes.

• 

  HighRadius

  May 2019 - Jun 2019

  Summer Intern

  💻 Developed and deployed a B2B AI-based Fintech web app to predict client payment dates using:🔥 JavaScript, Java, Python Flask, and AWS.🤝 Collaborated, analyzed, and gathered requirements for:🔍 Feature engineering and feature selection.📈 Implemented a supervised regression model to predict the mean payment date for business clients.🛠️ Built using:🌟 Ext JS, Java, Servlets, and Python Flask.

• 

  Dell Technologies

  Jul 2020 - Jul 2023

  🔵 Achieved 60.2% of CSAT by FY24 Q2 by implementing a cloud-native reliable notification service for high-priority issues in .Net Core (C#) and ReactJS, scheduling Python cron jobs for online customer visits.🟢 Innovated a distributed multidimensional data-driven product using C#, NodeJS, and MongoDB to identify gaps, reducing customer agent effort for return label creation by 98% and optimizing operational efficiency.🟡 Orchestrated an Agile TDD and DevOps strategy for 2 products, securing 100% test coverage across Server, Client, and API layers with NUnit, Selenium, and Kubernetes frameworks.🟠 Constructed a secure and scalable prediction and Identity RBAC pipeline in PCF (cloud) SSO, NodeJS, .NET Core, and MongoDB to consume unstructured data, resulting in a 50% reduction in manual issue-fixing effort.🔴 Developed a fault-tolerant analytical script indexed for customer-reported order issues, decreasing case calls by approximately 96.1%.🔵 Improved the post-order customer journey to 78.2% of CSAT in FY24 Q2 by integrating LLM and multimodal technologies, reducing customer-facing issues.🟢 Decreased case calls by approximately 96.1% with a fault-tolerant analytical script using BERT on multidimensional data indexed for customer-reported order issues.🟡 Among the top 29 Dell Digital FY21 College Graduate Employees to be awarded mentorship under the Dell Digital ITMP program by the Leadership of Dell Digital for becoming future leaders. Show less Collaborated with stakeholders, and developed a multidimensional dynamic logging framework providing insights for proactive and reactive tracking of performance and issues increasing Customer Satisfaction Score to 61.3% in FY23 Q4.Brainstormed and revamped the legacy features and stored procedures in the online return-order applications for 10k customers globally using .Net 5.0, Angular, JavaSript, Kafka, SQL Server, and PCF.Analyzed, revamped, developed, and tested the client-side in Angular to the server-side rendering in Vanilla JS of Web Pages for improving TTI to 1.83 sec, decreasing CLS to 0.05 sec, and LCP to 1.58 sec.Designed, developed, and secured funding for an analytical dashboard (CAREPULSE) that reduced the incidents/tickets volume to the support center by 98.6% for the order returns experience.Organized CSR initiative in partnership with Learning Links Foundation, facilitating education for 200+ high school students in AI, and Fullstack development with 10 mentors.Consumed Apache Kafka and RabbitMQ using ASP.Net C#, Soap API, and SQL Server for real-time data processing to decrease the return processing failures by approximately 65% in FY22 Q4 for EMEA and APJC regions.Optimized client-server performance in .NET MVC and JavaScript, reducing TTI to 1.83 seconds, CLS to 0.05 seconds, and LCP to 1.58 seconds using SOLID principles and design patterns.Mentored an intern in an agile environment for developing an intelligent real-time distributed system, increasing the system availability to 55.4% by the end of FY22.Designed a fault-tolerant, low-latency server alert-logging mechanism using C#, JavaScript, and KQL to capture the high failures/day crossing 10,000 for multiple KPIs.Automated the UI-UX testing workflow using Selenium Framework and attained 87% code coverage by FY21 Q4, decreasing the manual effort by approximately 40%.Slashed vulnerabilities in 5 web applications by 40% bringing down Kenna Score from 680 to 400 Show less

  • Software Engineer 2 - IT

    Apr 2023 - Jul 2023

  • Software Engineer 1 - IT

    Jul 2020 - Mar 2023
• 

  University at Buffalo

  Jun 2024 - now

  🔵 Research Area: AI Safety and Security of Online Social Networks.🟢 Supervisor: Dr. Hongxin Hu and his research team at the University at Buffalo.🟡 Focus: Measuring the effectiveness of safety and security mechanisms of Generative AI features like audio, text, video, and images on online platforms using LLMs.🔴 Key Areas of Concern:🚫 Hate Speech🚫 Profanity🚫 Bullying🚫 Sarcasm🚫 Slurs🟣 Goal: Develop stronger and more effective Multimodals using a chain-of-thought prompting strategy to mitigate toxic and unsafe content. Show less

  • Graduate Teaching Assistant

    Jan 2025 - now

  • Graduate Teaching Assistant

    Aug 2024 - Jan 2025

  • Research Aide

    Jun 2024 - Aug 2024