Ubaid Khan

Led development efforts for a distributed data processing platform, leveraging technologies such as Hadoop, Hive, Apache Spark, Excel, Kafka, and Redis to handle large-scale data ingestion and analytical storytelling using Tableau. Conducted exploratory data analysis on telemetry data, extracting actionable insights crucial for optimization, in line with supply chain operations. Led data cleaning and preprocessing efforts, ensuring high-quality and reliable data for analysis, mirroring the emphasis on data preparation. Proficient in designing and implementing test automation tools and scripts for exhaustive testing and infrastructure development. Lead an LLM use-case from development to production deployment. Experimented with candidate algorithms for optimal pre-processing (Outlier removal, faster training, better golden metrics). Collaborate with teams to design and deploy scalable data pipelines for processing large-scale telemetry data, ensuring timely insights delivery. Partner with research teams to explore emerging AI-driven operations trends, conducting literature reviews, prototyping algorithms, etc.

Worked with the Computer Vision Team for use case logic developments. Algorithm debugging, NVIDIA deployments, Inferences on live data. Bleeding edge PoCs on person re-identification, edge deployment, CLIFS, etc.

Well log algorithms for oil refineries using LSTM time series forecasting. Worked under award winning Ph.D. scientists on real-time down hole sensors data.

Worked with AWS on data automation and analysis (S3 and Redshift). Predictive Machine Learning model building and data engineering. Advanced querying of dynamic data from the databases using SQL.

RGPV