Sharvil M
@sharvilm
I build scalable LLM RAG systems and full-stack web apps that automate work and deliver measurable impact.
What I'm looking for
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
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.
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.
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
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).
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%).
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%).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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