Ankit Nigam

About Ankit Nigam

I am AI Data Operations professional and a Data Engineer with a background in computer science, specializing in multimodal data pipelines, linguistics, annotations, and prototype-driven AI workflows. My experience spans designing scalable data architectures and ETL systems while also supporting annotation, quality control, and evaluation for machine learning models used by product and research teams.I have hands-on experience working with confidential AR/VR prototype environments, supporting data collection, validation, and multimodal QA across text, image, video, audio, and sensor data. My work includes developing and maintaining linguistic and annotation guidelines, running calibration and adjudication workflows, and ensuring datasets are consistent, unbiased, and production-ready.On the engineering side, I have built and optimized cloud-based data pipelines using AWS, Python, SQL, Spark, and Snowflake, integrating data from APIs and large-scale source systems to support analytics and ML use cases. I’ve worked across the full data lifecycle—from requirements and ingestion to transformation, validation, and delivery—bridging the gap between data engineering and AI data operations.I enjoy collaborating closely with engineers, researchers, and product teams to turn ambiguous problems into reliable data systems, and I’m particularly interested in work at the intersection of AR/VR, applied ML, linguistics, and scalable data platforms.

Experience

1. Ai Data Specialist

   Meta

   Aug 2025 — Present

Education

• University at Buffalo

  Master's degree, Computer Science