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sneha vs

@snehavs

ML Engineer candidate with an enterprise integration background, who deployed a Random Forest model on AWS using FastAPI and Docker.

India
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What I'm looking for

I’m seeking ML Engineer, AI Engineer, or MLOps Engineer roles that combine production engineering discipline with my enterprise-systems and client-facing experience. I’m open to relocation to the UAE and remote roles.

At Accenture Solutions, I develop and maintain Infor M3 integrations with third-party applications using ION, MEC, SQL, and Java. I also work with clients and cross-functional teams on requirements, code reviews, and delivery.

I developed integrations that reduced customers’ manual effort. Before Accenture Solutions, I delivered Infor M3 technical work at Tata Consultancy Services, including integrations, H5 script extensions, ION workflows and mappings, and IDM forms.

On my US Visa Approval Prediction project, I built a Random Forest classifier and its data-processing and training workflow with Python, NumPy, Pandas, and Scikit-learn. I served the model through FastAPI, containerised it with Docker, deployed it on AWS, and automated build and deployment with a CI/CD pipeline.

My earlier experience includes retail project work as a developer and consultant at Wipro Technologies. I completed the IIT Madras PG Programme in Applied Data Science and Machine Learning in 2025, alongside my enterprise systems experience.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

IIT Madras logoIM

IIT Madras

PG Programme, Applied Data Science and Machine Learning

Completed the PG programme in Applied Data Science and Machine Learning in 2025.

RU

RMD Engineering College (Anna University)

Bachelor of Engineering, Computer Science and Engineering

Grade: 8.2/10

Earned a Bachelor of Engineering in Computer Science and Engineering in 2017 with a CGPA of 8.2/10.

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