SHAUN Shaun Parimoo Logo PARIMOO





Hi, I'm Shaun Parimoo.
I'm an ML Engineer specializing in LLM infrastructure and search.

Github Contact

Shaun Parimoo - AI/ML Engineer

About Me

Hey! 😄 My name is Shaun Parimoo.

I'm an AI/ML Engineer from Warren, NJ, currently based in Philadelphia, PA. I studied Biological Sciences with a Chemistry minor at the University of Pittsburgh, then earned my master's in Computational Biomedicine & Biotechnology at University of Pittsburgh School of Medicine.

At my core I'm a problem solver. My roots are in computational biology and data science — building predictive models for drug discovery, classification systems, and statistical modeling. The tools change but the drive is the same: break down complex problems, find the signal in the noise, and build systems that deliver real answers. Today that means AI infrastructure — tomorrow it'll be whatever the hardest problem in the room is.

Today, I build and optimize production RAG systems that serve enterprise clients at scale. My work spans the full AI stack — from vector database architecture with Weaviate and Elasticsearch, to LLM inference optimization focused on latency, throughput, and search quality, to model lifecycle management including deployment, monitoring, and deprecation detection. I care about making AI systems that don't just work in a notebook, but survive and perform in production.

In my free time I'm an avid Soccer player and fan (Lets Go Brighton!) âš½.

2016 2020 Undergraduate Student University of Pittsburgh 2021 Technical Solutions Engineer Epic Systems 2023 Masters Student University of Pittsburgh 2024 Data Scientist Copped Now Machine Learning Engineer Certara

TECHNOLOGIES


The stack I use to build and ship production AI systems

Languages & Frameworks

Python, SQL, and Shell scripting for building backend services and ML pipelines. FastAPI for high-performance APIs.

Python FastAPI SQL Shell

AI/ML & Search

Building RAG pipelines, vector search, and embedding systems. vLLM for inference, Weaviate and Elasticsearch for retrieval.

PyTorch scikit-learn Weaviate Elasticsearch vLLM

Infrastructure & DevOps

Deploying and scaling ML systems with Kubernetes, Docker, and Helm. Monitoring with OpenSearch dashboards. Redis/KeyDB for caching.

Kubernetes Docker Helm Redis Azure

Certifications

Certified in Azure Fundamentals (AZ-900) and Supervised Machine Learning (DeepLearning.AI). Continual investment in cloud and ML depth.

Azure AZ-900 DeepLearning.AI




RESUME


Discover my professional journey and skills by exploring my comprehensive resume below

Data Science Portfolio

Showcasing my expertise in data science, machine learning, and computational biology




Contact Me

I'm always looking to collaborate on AI/ML engineering, RAG systems, and LLM infrastructure projects! Whether you need expertise in search and retrieval optimization, vector database architecture, or building production AI systems, I'd love to discuss how my skills can help your organization.

Reach out via email to discuss potential collaborations, consulting opportunities, or if you have questions about my projects.

Github Mail