Open to opportunities

Bizma Juni

@bizmajuni

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Strategic Principal AI & Machine Learning Architect with 12+ years experience.

United States

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What I'm looking for

I am looking for a role that fosters innovation, collaboration, and ethical AI practices, with opportunities for growth and leadership.

I am a Principal AI & Machine Learning Architect with over 12 years of experience in designing scalable, enterprise-grade AI solutions. My expertise lies in the end-to-end ML lifecycle, utilizing technologies such as Python, TensorFlow, and PyTorch. I have a strong focus on building resilient ML pipelines and MLOps architectures, ensuring that AI initiatives align with complex business objectives.

Throughout my career, I have led high-performance teams and driven the development of innovative AI systems across various domains, including healthcare and finance. My passion for ethical and interpretable AI is reflected in my commitment to model governance and optimization, ensuring trustworthy deployment in diverse production environments. I thrive on challenges and am dedicated to advancing the field of AI through responsible practices and open-source contributions.

Experience

Work history, roles, and key accomplishments

Current

Principal AI Engineer

Current

Cubix

May 2020 - Present (5 years 2 months)

Directed the architecture and delivery of deep learning pipelines, collaborating with a cross-functional team. Designed MLOps frameworks for model lifecycle management and developed NLP systems for sentiment analysis. Implemented computer vision solutions and deployed cloud-native AI stacks to ensure scalable inference in production.

Deep Learning MLOps NLP Computer Vision AWS Azure GCP Docker Kubernetes

Senior AI Architect

Bleed AI

Mar 2016 - Apr 2020 (4 years 1 month)

Architected scalable ML infrastructure for real-time AI workloads in healthcare and finance. Optimized deep learning inference and integrated cloud-native workflows. Designed recommendation systems and led architectural reviews to improve product KPIs.

ML Infrastructure Deep Learning Workflows Recommendation Systems TensorRT BigQuery Snowflake

Machine Learning Engineer

Xeven Solutions

Jul 2012 - Feb 2016 (3 years 7 months)

Built predictive ML models for logistics optimization and developed scalable RESTful APIs for real-time data interaction. Secured ML endpoints and utilized data transformation tools to enhance feature pipelines.

RESTful APIs Data Transformation Tools Docker Kubernetes