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Sharvil MSM
Open to opportunities

Sharvil M

@sharvilm

I build scalable LLM RAG systems and full-stack web apps that automate work and deliver measurable impact.

India
Message

What I'm looking for

I’m looking to build LLM-powered RAG products end-to-end—secure deployments, React/FastAPI interfaces, and automation that cuts manual overhead—while collaborating across teams to scale measurable AI impact.

I’m an ambitious ML Scientist and Full-Stack Developer, focused on architecting LLM-powered solutions from scratch. At DP World, I designed a centralized bot ecosystem that empowers multiple RAG-based chatbots across internal teams, and I engineered an LLM-powered productivity tool to automate routine office tasks and reduce manual overhead.

I’ve also driven advanced OCR integration using LLMs for intelligent data extraction and document understanding, and I built secure React/FastAPI interfaces with OAuth2/JWT and private routing for enterprise-grade LLM applications. Previously at EY, I developed and maintained responsive web UI components for a major US client, and earlier I delivered an AI student assistant end-to-end on bare metal for maximum performance control.

Experience

Work history, roles, and key accomplishments

DW
Current

ML Scientist

DP World

Dec 2024 - Present (1 year 7 months)

Designed and built a centralized bot ecosystem to orchestrate multiple LLM-based RAG chatbots across internal teams, including an LLM-powered office productivity automation tool. Developed LLM-driven OCR for intelligent data extraction and implemented secure React/FastAPI interfaces using OAuth2/JWT and private routing.

EY

Associate Software Engineer

EY (Ernst & Young)

Feb 2024 - Dec 2024 (10 months)

Developed and maintained responsive web banners and UI components for a major US-based client using HTML, CSS, and JavaScript. Collaborated with cross-functional teams to deliver pixel-perfect results and maintain brand consistency across digital assets.

BL

Junior ML Engineer

Booksiey Technologies Pvt. Ltd.

May 2023 - Jan 2024 (8 months)

Built an AI-powered student assistant for NIOS students using React, Node.js, and LLM technologies. Owned the end-to-end application lifecycle, including deployment on bare metal infrastructure for maximum performance control.

Education

Degrees, certifications, and relevant coursework

Presidency University logoPU

Presidency University

Bachelor of Technology (B.Tech), Computer Science and Engineering

2019 - 2023

Grade: CGPA: 8.51

B.Tech in Computer Science and Engineering at Presidency University, Bengaluru, graduating in 2023 (CGPA: 8.51).

KC

Kalapataru PU College

P.U.C., Pre-University Course

2018 - 2019

Grade: 78.66%

Completed P.U.C at Kalapataru PU College, Tiptur (78.66%).

SS

Sri Vidya Peeta High School

Class 10, Secondary Education

2016 - 2017

Grade: 91.04%

Completed Class 10 at Sri Vidya Peeta High School, Tiptur (91.04%).

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