Open to opportunities

Shreyash Gaur

@shreyashgaur

Message

Machine learning engineer specializing in generative AI, RAG systems, and scalable model deployments.

India

Message

What I'm looking for

I seek roles building production-grade generative AI and RAG systems, with cloud-native deployments, cross-functional impact, and opportunities to optimize model training and retrieval pipelines.

I am a machine learning engineer focused on building production-ready generative AI systems, retrieval-augmented pipelines, and scalable deployments on cloud platforms. I specialize in combining graph and vector retrieval for privacy-preserving, high-accuracy knowledge systems.

At Capgemini I architected multi-agent RAG solutions and event-driven model deployments on Azure Kubernetes Service, reducing manual effort and client support queries. I build multi-agent systems for automated analysis, migration tooling, and ROI simulations that materially improve business decision speed.

During an internship at Uptricks, I developed large-scale SKU clustering and automated damage-detection pipelines, achieving high clustering precision and improving classification accuracy using efficient neural architectures and FAISS similarity search. I deploy real-time inference via managed cloud endpoints and integrate pipelines with data warehouses.

I hold cloud and ML certifications (Google Cloud Professional ML Engineer, multiple Azure AI/Data certs, DeepLearning.AI specializations) and enjoy optimizing model training (LoRA/QLoRA), building hybrid retrieval systems with Neo4j and vector stores, and delivering reproducible, resource-efficient solutions.

Experience

Work history, roles, and key accomplishments

Current

Analyst

Current

Capgemini Technology Services India Limited

Oct 2024 - Present (1 year 8 months)

Architected multi-agent RAG and migration POCs that automated Dell Boomi to Azure Logic Apps translation (60% conversion accuracy) and reduced manual migration effort projections by 85%, and deployed scalable agent-based AI systems on AKS to cut analyst effort by 60% and reduce client support queries by 45%.

RAG Mistral Azure Kubernetes Service Docker Azure Service Bus Event Grid GPT 4o LangGraph

Data Scientist Intern

Uptricks Services Pvt. Ltd.

Mar 2024 - Jun 2024 (3 months)

Built an SKU clustering pipeline for 9M e-commerce SKUs achieving 88% clustering precision and improved return-product damage classification from 81% to 90%, deploying real-time inference via Vertex AI integrated with Cloud Storage, Pub/Sub, and BigQuery.

Clustering Sentence Transformers Faiss Vertex AI BigQuery Pub Sub Cloud Storage