Guneesh Vats

About Guneesh Vats

I’m a Machine Learning Engineer with experience building applied ML and GenAI systems across NLP, speech, computer vision, and large-scale data pipelines. My work sits at the intersection of research and production, translating ideas into reliable, scalable systems.At ServiceNow and early-stage startups, I’ve worked on problems ranging from LLM-powered information extraction and RAG systems to speech recognition, multimodal evaluation pipelines, and high-fidelity data extraction. I enjoy owning ML systems end-to-end, from modeling and experimentation to deployment, evaluation, and MLOps.I also have a strong research background, with publications in venues, including work on change-point detection in coded communication systems, speech-based emotion analysis for mental health, and computer vision pipelines for sports analytics. I was ranked 7th globally in the ICASSP Grand Challenge 2025 and have been a Dean’s List awardee at Hyderabad.I’m motivated by solving hard problems and building robust, high-impact ML systems that work in the real world. Always excited to collaborate on meaningful machine learning and AI projects.

Experience

1. Applied Ai Researcher

   ServiceNow

   Jan 2026 — Present · Hyderabad, IN

   Designing evaluation and benchmarking frameworks for applied AI systems across enterprise use cases, focusing on reliable measurement, realistic metrics, and reproducible assessment.• Building and analyzing PII extraction and ITSM/CSM service benchmarks, including stage-wise evaluation pipelines, custom datasets, and metric extensions (e.g, GDPval) to capture real-world system behavior beyond standard accuracy.

Education

• International Institute of Information Technology Hyderabad (IIITH)

  B Tech and Master of Science - MS, Electronics and Communication Engineering by Research