Open to opportunities

austin steven

@austinsteven

Message

I am a Senior Machine Learning Engineer delivering production-ready AI and deep learning solutions.

United States

Message

What I'm looking for

I seek senior ML/AI roles where I can productionize LLMs and deep learning models, lead MLOps and optimization, mentor engineers, and drive measurable product impact in cloud-first, research-friendly teams.

I am a Senior Machine Learning and AI Engineer with over 11 years of experience designing and delivering AI/ML solutions.

I build production-ready models across NLP, computer vision, time series forecasting, and recommendation systems using Python, PyTorch, TensorFlow, Scikit-learn, SQL, and cloud platforms (AWS, Google Cloud, Azure). I deploy and optimize models at scale—automating pipelines with MLOps, tuning GPU/TPU performance, and integrating LLMs and Generative AI into enterprise products.

Throughout my career at Cognitivescale, Abnormal Security, NVIDIA, and Orbital Insight, I have published research, contributed to patents, mentored junior engineers, and presented at international conferences. I am motivated to reduce model bias, deliver measurable product impact, and continuously advance practical AI systems.

Experience

Work history, roles, and key accomplishments

Current

AI Software Engineer

Current

CognitiveScale

Sep 2023 - Present (1 year 11 months)

Developed NLP models for customer support chatbots and virtual assistants; implemented deep learning pipelines on IBM Cloud and built real-time monitoring dashboards to improve model robustness on noisy data.

NLP Deep Learning PyTorch TensorFlow IBM Cloud Model Monitoring MLOps

MLOps Engineer

Abnormal Security

Jun 2021 - Sep 2023 (2 years 3 months)

Deployed Claude-based models into enterprise-grade APIs, managed HPC/GPU clusters, and automated training pipelines using PyTorch and JAX to accelerate training and optimize costs.

MLOps PyTorch Jax HPC Docker Kubernetes

Deep Learning Engineer

NVIDIA

Oct 2019 - Jun 2021 (1 year 8 months)

Designed GPU-optimized deep learning architectures and computer vision models for autonomous driving, improving inference speed and scaling training for large datasets.

Deep Learning Computer Vision GPU Acceleration PyTorch Optimization TensorRT

Research Scientist

Orbital Insight

Mar 2015 - Oct 2019 (4 years 7 months)

Researched and developed large language models and generative AI systems, fine-tuned transformers and reinforcement learning experiments, and led efforts to reduce model bias and publish findings.

Research LLMs)Reinforcement Learning Experimentation Python