Open to opportunities

Riz Peeru

@rizpeeru

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Senior AI/ML engineer delivering production-ready models and scalable AI systems that drive business value.

United States

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What I'm looking for

I seek a role building production-grade AI/ML systems that deploy at scale, emphasize reproducible pipelines, collaboration, and measurable business impact.

I am a Senior Machine Learning Engineer with 7+ years building, optimizing, and deploying production AI/ML solutions across cloud platforms. I specialize in LLM pipelines, retrieval-augmented generation, and scalable model deployment using Docker, SageMaker, and serverless architectures.

My work includes designing agentic systems with dynamic context sharing, improving LLM task performance by 22% over baseline ChatGPT on evaluation tasks, and integrating vector databases like Pinecone and Weaviate for efficient retrieval.

I have led end-to-end projects in time-series analytics, medical claim automation using NLP, transfer-learning mobile apps for plant disease classification, and real-time computer vision systems achieving high accuracy and large speedups.

I bring hands-on experience with TensorFlow, PyTorch, LangChain, Hugging Face, and cloud ML services (AWS, GCP, Azure), plus strong engineering practices for CI/CD, containerization, and reproducible inference pipelines.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

Holistiplan

Oct 2022 - Present (3 years)

Developed and deployed production-ready AI/ML and LLM systems, implemented RAG pipelines with vector DBs and QLoRa optimization, and improved task performance by 22% over baseline ChatGPT on evaluation tasks.

Python TensorFlow PyTorch Pinecone Docker AWS Sagemaker Flask RAG

Machine Learning Engineer

Holistiplan

Mar 2020 - Sep 2022 (2 years 6 months)

Built time-series analytics and ML-driven apps on Azure, automated data annotation and NER pipelines, and led NLP projects to improve medical claim automation and processing accuracy.

Python NLP NER Time Series Data Annotation Deep Learning

Associate Data Scientist

Radical Imaging

Mar 2018 - Feb 2020 (1 year 11 months)

Managed end-to-end deep learning projects including fall detection and YOLO-based spillage detection, reducing frame processing time from 1.5s to 0.1s and achieving 95% accuracy on detection tasks.

Deep Learning Computer Vision YOLO CNN data preprocessing Deployment