Generative AIRetrieval-Augmented GenerationMachine LearningDeep LearningNatural Language ProcessingLarge Language ModelsLangChainVector DatabasesMCPHugging FaceTensorFlowScikit-learnComputer VisionPythonC++FastAPIStreamlitObject-Oriented ProgrammingDockerCI/CD PipelinesGitAPI IntegrationWeb ScrapingLinuxSQLData Structures and AlgorithmsDBMSDevSecOps
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Generative AIRetrieval-Augmented GenerationMachine LearningDeep LearningNatural Language Processing
About
AI Engineer
Experience
RapidFort (AI Engineer)
Owned and architected production-grade AI-driven workflows for security, vulnerability and release upgrade intelligence supporting 100+ enterprise organizations while eliminating $150K/year in manual engineering overhead.
Applied Reasoning LLMs with RAG-based retrieval and real-time web search to automate CVE impact assessments, reducing manual analysis time from 3-4 days to under 15 seconds and improving operational response speed.
Designed and optimized large-scale data and backend pipelines alongside CI/CD integrated DevOps automation including GenAI pipelines, Jira tracking and scheduled jobs, achieving up to 20× performance gains and enabling proactive workflows.
BARCLAYS (SDE)
Devised a Data Analytics Housekeeping Automation Utility using Python and Jenkins with detailed Jira and Confluence documentation, reducing manual effort by 90%.
Co-developed a framework to generate vector embeddings from unstructured data for 10+ GenAI use cases.
Education
Bachelor of Engineering (B.E.) in Computer Engineering – Thapar Institute of Engineering and Technology
