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Muhammad Iqbal

@muhammadiqbal8

Message

Senior AI/ML engineer building production-grade LLM systems, RAG, and real-time ML pipelines.

United States

Message

What I'm looking for

I seek roles where I can lead production-grade LLM and MLOps initiatives, drive AI strategy, mentor teams, and deliver scalable, measurable business impact in a collaborative, product-focused environment.

I am a Senior AI/ML engineer with 7+ years designing and shipping production-grade AI systems for US-based companies, specializing in LLM architectures, RAG systems, multi-agent AI, and real-time ML pipelines.

I have led migrations to Kubernetes and AWS EKS, built end-to-end MLOps platforms, and fine-tuned open-source LLMs using parameter-efficient techniques such as LoRA to balance performance and cost.

My work spans finance, SaaS, and enterprise domains, delivering TB-scale data processing, model observability, drift detection, and reusable ML components to drive operational excellence and measurable business outcomes.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Nerach

Jan 2022 - Present (4 years 5 months)

Designed and maintained scalable ETL/ELT pipelines using Python and Apache Airflow for large-scale batch and incremental processing. Improved pipeline performance and reduced processing latency via SQL and data-model optimization, built reusable transformation frameworks, and enhanced data quality, logging, and monitoring while supporting AWS and Azure cloud migrations.

Python Apache Airflow ETL SQL Optimization Data Modeling Data Quality Logging And Monitoring AWS Azure

Data Engineer

Enterpret

Jan 2019 - Jan 2022 (3 years)

Designed and maintained scalable ETL/ELT pipelines at scale using Python and Apache Airflow for batch and incremental processing. Integrated heterogeneous data sources into centralized processing ecosystems, improved performance and reduced processing latency through query and partitioning optimization, and implemented robust validation, logging, and monitoring to strengthen end-to-end observabili

Python Apache Airflow ETL SQL Optimization Data Validation Data Integration Partitioning AWS Azure

Data Engineer

Datafold

Jan 2017 - Jan 2019 (2 years)

Designed, built, and maintained scalable data pipelines for structured and unstructured datasets across batch and near real-time workflows. Developed transformation and validation logic to improve data accuracy and reliability, optimized data warehouse architectures to support analytics, and troubleshot pipeline failures to reduce downtime.

Data Pipelines ETL ELT Data Validation SQL Data Warehouse Architecture Documentation Unstructured Datasets data transformation