Abhigya Verma — Machine Learning Engineer

I am a Machine Learning Engineer at ServiceNow, specializing in building and scaling large language models (LLMs) for enterprise applications. My work spans synthetic data generation, multimodal reasoning, and safety alignment, where I have designed and deployed pipelines that power real-world products. At ServiceNow, I contributed to the NowLLM initiative by generating high-quality multimodal datasets (image-to-text, reasoning, Q&A) and enhancing safety alignment for content moderation and red-teaming use cases. Previously, I conducted research at NAIST Japan, developing a real-time ASR system for Hindi, and interned at Microsoft, where I enhanced the Outlook Search Assistant with intelligent query suggestions. My academic and research contributions include peer-reviewed publications on synthetic data generation and multimodal benchmarks, such as GRAFT, which evaluates instruction-following and visual-textual alignment in LLMs. Recognized with awards like the UTG Llama Award (ServiceNow) and a GHCI Student Scholar, I bring both technical depth and community leadership experience. I am passionate about advancing trustworthy, efficient, and scalable GenAI systems—bridging cutting-edge research with enterprise-scale engineering to make AI safer, more robust, and impactful.

Stackforce AI infers this person is a Machine Learning Engineer specializing in SaaS and enterprise AI solutions.

Location: West Delhi, Delhi, India

Experience: 5 yrs