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Hi, I'm Ikrom Igamberdiyev, a Senior Data/ML/AI Engineer with over 12 years of experience designing intelligent AI-driven data ecosystems. I specialize in architecting cloud-native data platforms across Azure, AWS, and GCP, building scalable machine learning pipelines, and enabling data-driven decision-making. I'm passionate about collaborating with cross-functional teams to accelerate AI adoption and drive sustainable organizational growth. I enjoy creating efficient, secure, and highly available AI and data solutions, from developing end-to-end ML pipelines to building interactive dashboards for real-time business insights. With my extensive background across multiple industries, I strive to align innovative technology with strategic business objectives to deliver impactful results.…Hi, I'm Ikrom Igamberdiyev, a Senior Data/ML/AI Engineer with over 12 years of experience designing intelligent AI-driven data ecosystems. I specialize in architecting cloud-native data platforms across Azure, AWS, and GCP, building scalable machine learning pipelines, and enabling data-driven decision-making. I'm passionate about collaborating with cross-functional teams to accelerate AI adoption and drive sustainable organizational growth. I enjoy creating efficient, secure, and highly available AI and data solutions, from developing end-to-end ML pipelines to building interactive dashboards for real-time business insights. With my extensive background across multiple industries, I strive to align innovative technology with strategic business objectives to deliver impactful results.

Ikrom Igamberdiyev

AI Engineer, Data Scientist, Project Manager, +2

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Hi, I'm Ikrom Igamberdiyev, a Senior Data/ML/AI Engineer with over 12 years of experience designing intelligent AI-driven data ecosystems. I specialize in architecting cloud-native data platforms across Azure, AWS, and GCP, building scalable machine learning pipelines, and enabling data-driven decision-making. I'm passionate about collaborating with cross-functional teams to accelerate AI adoption and drive sustainable organizational growth. I enjoy creating efficient, secure, and highly available AI and data solutions, from developing end-to-end ML pipelines to building interactive dashboards for real-time business insights. With my extensive background across multiple industries, I strive to align innovative technology with strategic business objectives to deliver impactful results.…Hi, I'm Ikrom Igamberdiyev, a Senior Data/ML/AI Engineer with over 12 years of experience designing intelligent AI-driven data ecosystems. I specialize in architecting cloud-native data platforms across Azure, AWS, and GCP, building scalable machine learning pipelines, and enabling data-driven decision-making. I'm passionate about collaborating with cross-functional teams to accelerate AI adoption and drive sustainable organizational growth. I enjoy creating efficient, secure, and highly available AI and data solutions, from developing end-to-end ML pipelines to building interactive dashboards for real-time business insights. With my extensive background across multiple industries, I strive to align innovative technology with strategic business objectives to deliver impactful results.

Available to hire

Hi, I’m Ikrom Igamberdiyev, a Senior Data/ML/AI Engineer with over 12 years of experience designing intelligent AI-driven data ecosystems. I specialize in architecting cloud-native data platforms across Azure, AWS, and GCP, building scalable machine learning pipelines, and enabling data-driven decision-making. I’m passionate about collaborating with cross-functional teams to accelerate AI adoption and drive sustainable organizational growth.

I enjoy creating efficient, secure, and highly available AI and data solutions, from developing end-to-end ML pipelines to building interactive dashboards for real-time business insights. With my extensive background across multiple industries, I strive to align innovative technology with strategic business objectives to deliver impactful results.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Senior data/ML engineer, VP at Bank of America

January 1, 2020 - Present

Partnered closely with analytics leads and data scientists to gather end-to-end ML/AI and reporting requirements, designing and implementing scalable, secure cloud data warehouses in Snowflake, Redshift, and BigQuery using dimensional modeling techniques. Architected and deployed scalable, highly secure AI and Gen AI infrastructure on multi-cloud platforms, optimizing resource allocation with auto-scaling and workload scheduling. Developed scalable AI and Gen AI data pipelines supporting machine learning training, advanced analytics, real-time inference, and regulatory reporting across Azure and AWS. Maintained reusable AI-focused ETL pipelines processing high-volume structured and unstructured data, collaborated on feature engineering workflows in PySpark, and created optimized training datasets accelerating model training. Fully automated MLOps pipelines managing the machine learning lifecycle using MLflow, Databricks ML, and AWS SageMaker, integrated workflows with CI/CD pipelines,

Senior Data Engineer at Market Axess

January 1, 2020 - July 23, 2025

Designed highly scalable ML data platforms in Snowflake, Redshift, and Synapse across Azure and AWS to support model training, evaluation, and real-time inference of large financial datasets with regulatory compliance. Built modular ingestion pipelines using ADF, AWS Glue, and Apache Airflow integrating batch and streaming sources. Developed PySpark feature pipelines in Databricks transforming raw trading and sentiment data. Managed streaming data via Azure Event Hubs, AWS Kinesis, and Apache Kafka enabling real-time risk scoring and anomaly detection. Migrated legacy infrastructure to Snowflake and Redshift, optimizing schemas and compute resources, orchestrated parallel Spark ETL jobs on AWS EKS, and automated MLOps workflows with MLflow and SageMaker for model lifecycle management. Designed secure REST APIs to expose model predictions, managed end-to-end ML orchestration with Airflow, and implemented schema tracking and metadata management for audit readiness. Enhanced Redshift for

BI Developer at JP Morgan Chase

March 1, 2018 - July 23, 2025

Performed requirement analysis, design, and development of enterprise software applications including financial reporting. Developed stored procedures, scalar functions, and optimized SQL queries using T-SQL to improve performance and reliability. Designed data marts using star schema models for reporting needs, created SSRS reports, and designed complex SSIS packages with error handling and logging mechanisms. Utilized SQL Server tools for query tuning and data validation, developed automated reconciliation processes for data accuracy, collaborated with auditors for compliance documentation, and optimized SSRS reporting packages to deliver actionable financial insights.