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Sagar ShelkeSS
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Sagar Shelke

@sagarshelki

AI/ML and DevSecOps Advisory at PwC, architecting RAG applications that improved information retrieval by 35%+.

India
Message

At PwC, I design and deliver enterprise GenAI and ML solutions for business-critical use cases. I architected LLM applications using LangChain, Semantic Kernel, RAG, and vector databases, improving information retrieval by 35%+.

I also built and optimized end-to-end MLOps pipelines, reducing model deployment time by 40%+. I implement DevSecOps practices in CI/CD pipelines, including automated security scans and OPA-based policy enforcement.

At Opus Technologies- FIS Global, I designed and deployed Generative AI solutions with Azure OpenAI and Microsoft AI Foundry. Their RAG pipelines improved response relevance by 35%+ in enterprise chatbot and knowledge systems.

Earlier, at Tata Consultancy Services (TCS)- Morgan Stanley, I automated build and release workflows and implemented CI/CD for Java and .NET microservices. My work included deploying containerized applications on AWS and Kubernetes and integrating security checks into pipelines.

Experience

Work history, roles, and key accomplishments

PwC logoPW
Current

Senior Associate AI/ML and DevSecOps Advisory

Feb 2026 - Present (9 months)

Designing and delivering enterprise GenAI and ML solutions for business-critical use cases. Architected LLM-based applications using LangChain, Semantic Kernel, and RAG, improving information retrieval by 35%+ and reducing model deployment time by 40%+.

OG

DevSecOps Engineer

Opus Technologies - FIS Global

Jan 2025 - Feb 2026 (1 year 1 month)

Designed and deployed Generative AI solutions using Azure OpenAI and Microsoft AI Foundry, implementing RAG pipelines with vector databases and embeddings. Built AI-driven backend services in Java/.NET and Python, and managed CI/CD pipelines with Docker, Kubernetes, and Terraform.

TS

DevOps Engineer

Dec 2021 - Jan 2025 (3 years 1 month)

Designed and maintained end-to-end CI/CD pipelines for banking and capital markets, enabling scheduled and on-demand releases. Automated microservices onboarding and build/release workflows using Python, Groovy, and Jenkins Shared Libraries, improving efficiency by 25%.

Education

Degrees, certifications, and relevant coursework

JC

Jawaharlal Nehru Engineering College

B.Tech, Engineering

2018 - 2021

Pursued a Bachelor of Technology degree at Jawaharlal Nehru Engineering College from 2018 to 2021.

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