Open to opportunities

Hasi Iqbal

@hasiiqbal

Message

Senior machine learning engineer specializing in production LLM systems, MLOps, and real-time applied AI.

United States

Message

What I'm looking for

I want to own production ML/LLM systems end to end—improving model performance, scaling inference, and building reliable deployment + monitoring with strong product/engineering partnership and measurable impact.

I’m a Senior Machine Learning Engineer with 5+ years of experience owning production machine learning and LLM-powered systems end to end. I focus on Python-based ML services, API-driven inference, and applied AI used by real users, partnering closely with product and engineering to ship reliable, scalable solutions.

At IStream Solutions, I improved model performance and automated workflows with an LLM-driven document intelligence pipeline that cut manual review time by 70%. I also designed production-grade ML services for realtime recommendations (200k+ daily predictions, p99 latency under 50ms), migrated models to GPU-backed microservices to raise throughput, and implemented monitoring with Prometheus, Grafana, and drift detectors to maintain ongoing reliability.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

IStream Solutions

Apr 2024 - Present (2 years 1 month)

Owned the end-to-end model lifecycle, including data exploration, feature engineering, PyTorch/TensorFlow training, and canary-based Kubernetes rollouts. Built production LLM document intelligence and realtime recommendation services, achieving 200k+ daily predictions with p99 latency under 50ms and cutting manual review time by 70%.

PyTorch TensorFlow GPU Microservices Prometheus Grafana

Machine Learning Engineer

Seeq

Sep 2022 - Mar 2024 (1 year 6 months)

Developed and productionized six end-to-end ML features, including churn and fraud detection, improving key business metrics by up to 15%. Built Kubeflow training pipelines, integrated models into Python backend APIs for low-latency serving, and implemented GitHub Actions/Docker/AWS SageMaker CI/CD to cut deployment cycles from days to hours.

Kubeflow AWS Sagemaker GitHub Actions Docker A B Testing Python Feature Engineering Statistical Analysis

Applied AI Engineer

Hex

Feb 2021 - Aug 2022 (1 year 6 months)

Contributed to an NLP-driven chatbot by implementing intent classification and entity recognition using spaCy and custom Transformer models. Built text/image data preprocessing and augmentation pipelines, improving downstream model accuracy by 10%, and supported internal ML infrastructure maintenance.

SpaCy Transformer Models NLP data preprocessing Python Containerization