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

• 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

• 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.

• 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.

• 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