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Hasi Iqbal

@hasiiqbal

Senior machine learning engineer specializing in LLMs, RAG, and MLOps.

United States
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What I'm looking for

I’m looking for a team where I can lead production-grade LLM/NLP and RAG systems end-to-end—designing reliable pipelines, low-latency inference, and MLOps with governance, observability, and compliant delivery that drives measurable impact.

I’m an AI/ML engineer with 8+ years of experience designing, developing, and deploying large-scale machine learning, NLP, and LLM-powered systems for enterprise and high-traffic platforms. I focus on transformers, RAG workflows, recommendation engines, vector databases, and semantic search—delivered with strong MLOps discipline.

At Run.ai (03/2022–Present), I lead end-to-end MLOps for enterprise LLM-powered applications, including an enterprise NLP platform for automated contract analysis using transformers, LLMs, and RAG. I architected low-latency, multi-region inference with Kubernetes and Triton patterns, while establishing model governance, CI/CD, experiment tracking (MLflow, Weights & Biases), and automated validation and versioning.

Previously at BlueLabel Labs (06/2019–02/2022), I built personalization and recommendation systems for high-traffic e-commerce, processing 5M+ records and improving model training efficiency by 30%. I also led NLP pipelines that improved accuracy by 25–30%, deployed real-time solutions supporting 100,000+ transactions/day using FastAPI/Flask, and drove business impact through A/B testing, monitoring, and optimization.

Earlier at Istream Solutions (02/2018–05/2019), I developed NLP-driven sentiment analysis, topic classification, and automated tagging with 30% classification accuracy improvement. I built production REST API deployments, handled 1.5M feedback entries/month with Spark-based pipelines, and reduced unstructured text inference latency by 45%, while mentoring junior engineers to accelerate delivery.

Experience

Work history, roles, and key accomplishments

Run.ai logoRU
Current

Senior Machine Learning Engineer

Run.ai

Mar 2022 - Present (4 years 2 months)

Led the design, deployment, and optimization of large-scale AI/ML and LLM-powered applications, including an enterprise NLP platform for automated contract analysis using transformers, LLMs, and RAG. Architected low-latency, multi-region inference on Kubernetes/Triton and implemented MLOps for governance, CI/CD, experiment tracking, validation, model versioning, and drift/observability.

BL

AI/ML Engineer

BlueLabel Labs

Jun 2019 - Feb 2022 (2 years 8 months)

Developed large-scale personalization and recommendation systems for high-traffic e-commerce, training on 5M+ records and improving model training efficiency by 30%. Built NLP pipelines and prediction/recommendation models that increased user engagement by 20% and improved operational efficiency by 15%, deploying real-time services on AWS/GCP/Azure for 100K+ transactions/day.

IS

Machine Learning Engineer

Istream Solutions

Feb 2018 - May 2019 (1 year 3 months)

Built NLP-driven analytics for feedback analysis, sentiment tracking, and automated text categorization, improving classification accuracy by 30% and reducing model development time by 40%. Designed data pipelines for 1.5M+ feedback entries per month and deployed low-latency REST APIs on AWS/GCP/Azure with 99.9% uptime, reducing inference latency by 45% and driving engagement (+15%) and revenue up

Education

Degrees, certifications, and relevant coursework

BS

Bachelor’s Degree in Computer Science

Bachelor’s Degree, Computer Science

Earned a Bachelor’s degree in Computer Science.

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