Benny Antony

About Benny Antony

As an Agentic AI Engineer at ServiceNow and a former Graduate Researcher at Virginia Tech\'s Biomedical Ultrasound Research Group, I bring a unique blend of industry and research experience at the intersection of AI, computer vision, and medical imaging. My work spans across machine learning, retrieval-augmented generation (RAG), natural language processing, and multimodal intelligence, with real-world applications in healthcare, legal tech, and atmospheric research.I’ve developed and deployed scalable AI systems—from automating information extraction from legal PDFs using Vision-Language Models, to boosting semantic search through ChatGPT-powered embeddings and custom ontologies. In research, I focused on enhancing 3D fetal ultrasound analysis and translating EEG signals to natural language, combining deep learning with biomedical signal processing to support early diagnosis and accessibility.With a B.Tech in Computer Science (VIT) and an M.S. in Computer Engineering (Machine Intelligence) from Virginia Tech, I’m passionate about building AI solutions that are both technically robust and socially impactful—especially in healthcare and scientific discovery. Always open to collaborations in AI for health, vision-language models, and retrieval systems.

Experience

1. Artificial Intelligence Engineer

   Tech Mahindra

   Apr 2026 — Present

   Building and integrating LLM-based pipelines to enable intelligent, context-aware automation across the software development lifecycle- Designing AI agents that autonomously handle repetitive engineering tasks — from code validation to deployment orchestration — reducing manual effort and accelerating release velocity- Developing feature flagging, CI/CD, and delivery intelligence capabilities powered by AI, enabling smarter rollouts and risk-aware deployments- Applying MLOps best practices to ensure all AI components are scalable, observable, and production-ready at enterprise scale- Operating within a dedicated R&D unit to rapidly prototype, validate, and ship next-generation DevOps tooling that bridges research and real-world engineering impact

Education

• Virginia Tech

  Graduate Certificate in Data Analytics

• Virginia Tech

  Master's degree, Computer Engineering(specializing in Machine Intelligence)

• Vellore Institute of Technology

  Bachelor of Technology - BTech, Computer Science

  2018 — 2022