Summary
Nikhil Dhiman is a Machine Learning & AI Researcher and cross-functional software engineer with 8 years of experience building cloud-native data platforms, backend systems, and high-performance iOS apps. He designs and operates end-to-end ETL/ELT and streaming pipelines with Spark, Kafka, Airflow and modern cloud warehouses while deploying ML models and observability stacks using Kubeflow, MLflow, Docker and Kubernetes. Equally comfortable writing SwiftUI mobile clients as he is authoring scalable FastAPI microservices and optimizing SQL and data schemas for Snowflake, BigQuery and Redshift, he bridges product, data and engineering to deliver user-centered solutions. Notably, he led production-grade real-time features and data quality monitoring at Appventurez and built a face-recognition + geofencing prototype during an R&D internship, reflecting a practical blend of research and applied engineering. Based in Los Angeles, he holds an MS in Computer Science and continues to pursue ML research while mentoring engineers and contributing to robust, observable ML deployments.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, 3.7/4, Bachelor of Technology - BTech, Computer Science, 3.7/4 at ABESIT
Master of Science - MS, Computer Science, 4/4, Master of Science - MS, Computer Science, 4/4 at California State University, Los Angeles
XII, XII at Delhi Public School, NTPC Vidyut Nagar
Executive Post Graduation Program NASSCOM Certified, Data Science (Data Engineering), Executive Post Graduation Program NASSCOM Certified, Data Science (Data Engineering) at International Institute of Information Technology Bangalore
English