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vaibhav salianVS
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vaibhav salian

@vaibhavsalian

I build production agentic AI, ML pipelines, and cloud solutions that automate enterprise operations.

India
Message

What I'm looking for

I'm looking to build production AI and cloud solutions that automate enterprise workflows, turn natural-language requests into useful actions, and create measurable business impact.

At EGDK India, I build the Python backend for Kaisa, a production-grade agentic AI assistant for the EnerKey Energy Management System. Using Microsoft Semantic Kernel, I enable natural-language interaction with legacy .NET APIs for enterprise workflow automation, ML execution, mathematical computation, and automated reporting.

Previously at Niveus Solutions, I deployed GenAI and machine-learning solutions on GCP using Vertex AI, Kubeflow, BigQuery ML, Dialogflow, Cloud Run, Cloud Functions, GKE, Docker, Python, Next.js, and Node.js. My work includes an LLM-powered multi-agent NL2SQL dashboarding platform that reduced operational-insight turnaround time by 22%, and a Kubeflow MLOps pipeline processing 55 million data points with ±2 RMSE prediction error.

Experience

Work history, roles, and key accomplishments

NS

AI/ML Engineer/GCP Cloud Solutions Architect

Niveus Solutions

Jul 2023 - Nov 2025 (2 years 4 months)

Developed and deployed GenAI solutions using GCP services, implemented ML model endpoints and pipelines with Kubeflow, BQML, and Vertex AI, and designed conversational AI agents using Dialogflow and Google ADK. Collaborated with clients to define project scope and approach, and deployed serverless applications to Cloud Run and Cloud Functions.

Education

Degrees, certifications, and relevant coursework

St. Joseph Engineering College logoSC

St. Joseph Engineering College

Bachelor of Engineering, Artificial Intelligence and Machine Learning

2021 - 2025

Grade: 9.19/10 CGPA

Pursued a Bachelor of Engineering in Artificial Intelligence and Machine Learning, achieving a CGPA of 9.19/10.

CC

Canara Pre-University College

Pre-University Certificate, Pre-University Course

2019 - 2021

Grade: 97%

Completed Pre-University Course with a focus on Physics, Chemistry, Maths, and Computer Science, achieving 97%.

Tech stack

Software and tools used professionally

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