# Pranav Rebala > Data Scientist Location: San Ramon, California, United States Profile: https://flows.cv/pranavrebala As a Software Engineer at OpsMx, I contribute to developing AI agents that automate code scanning and vulnerability remediation, leveraging tools such as ChatGPT and Anthropic Claude. My work includes implementing agentic workflows with LangChain and Claude Code frameworks, and building user-facing FastAPI applications. I hold a Bachelor's degree in Data Science from UC San Diego, and have a passion for solving problems through data and code. I enjoy creating data-driven projects with real world impacts and am always looking for new opportunities to improve my skills and contribute to innovative projects. ## Work Experience ### Software Engineer @ OpsMx Jan 2025 – Present OpsMx provides code scanning and vulnerability remediation solutions to its customers. I was involved in developing AI agents to scan user codebases and automatically develop patches for vulnerabilities. • Automated remediation of common vulnerabilities (CVEs) using AI to generate fixes for critical exploits • Utilized ChatGPT and Claude to improve remediation effectiveness to 80% for client codebases • Implemented Agentic workflows using Serena MCP tools in Langchain and Claude Code frameworks • Developed user facing FastAPI app and agentic UI parsing for converting user input into defined fields ### Tutor @ UC San Diego Jan 2023 – Jan 2025 | San Diego, California, United States • Increased exam performance for 60% of students in a 200-person computer science course by delivering targeted tutoring in data structures, algorithms, optimization, and machine learning during weekly office hours and discussion sections. • Enhanced student understanding of complex concepts by creating and maintaining 8 homework problem sets per quarter using GitHub and LaTeX to reinforce data structures, algorithms, and machine learning topics. • Improved overall course engagement by providing over 10 hours per week of constructive feedback and academic support, contributing to measurable grade improvement. • Streamlined academic support for a high-enrollment computer science course by coordinating and managing assistance for 200 students, ensuring individualized support and clarity on foundational concepts ### Data Science Intern @ OpsMx Jan 2024 – Jan 2024 | California, United States • Increased customer support satisfaction by 10% by developing and integrating an LLM-powered chatbot using Google Cloud Platform, Vertex AI, Langchain, and Google Gemini API, leveraging a Retrieval-Augmented Generation (RAG) pipeline to enhance answer quality. • Reduced model response time by 20% by streamlining the RAG pipeline architecture and improving model efficiency for AI-driven customer support systems. • Improved operational efficiency for the IT support team by implementing an LLM-based chatbot that automated routine support tasks, decreasing manual workload and enabling faster resolutions. • Delivered scalable AI solutions for customer-facing applications by utilizing Google Cloud Platform and Vertex AI to build, test, and deploy chatbot models tailored for enterprise support. ### Data Science Intern @ OpsMx Jan 2023 – Jan 2023 | California, United States • Accelerated security vulnerability analysis by 25% for a multi-cloud Continuous Delivery platform by leveraging AI and the ChatGPT API to automate identification and prioritization of critical issues. • Increased accuracy of critical issue detection to 90% by utilizing AI-driven analysis of SBOM files, ensuring precise identification and prioritization of high-risk vulnerabilities across platform components. • Improved client feedback quality by 15% by employing AI tools to generate detailed, actionable reports from security vulnerability analysis. • Enhanced security posture for client codebases in multi-cloud environments by applying advanced AI techniques to identify and address critical vulnerabilities. ### Software Engineer Intern @ EOS-SOFTWARE Jan 2020 – Jan 2020 | California, United States • Implemented automated email service leveraging AWS Simple Email Service (SES), elevating client engagement • Engineered a customized email template containing crucial status information on clients’ AWS EC2 instances • Executed the implementation process utilizing Python deployed on Amazon EC2 servers, improving speed by 20% • Periodically sent emails containing data analytics to 100s of clients reliably, improving customer satisfaction ## Education ### Bachelor's degree in Data Science UC San Diego ## Contact & Social - LinkedIn: https://linkedin.com/in/prebala - GitHub: https://github.com/prebala123 --- Source: https://flows.cv/pranavrebala JSON Resume: https://flows.cv/pranavrebala/resume.json Last updated: 2026-04-10